{
  "prompt_name": "user-feedback",
  "category": "comms",
  "date": "2026-03-17",
  "generated_text": "## User Feedback Analysis \u2014 2026-03-17 (based on community activity 2026-03-14 to 2026-03-16)\n\n### Data snapshot (what this report is based on)\n- Primary sources in the provided dataset: Discord (#discussion, #coders, xfn-framework) logs for **2026-03-14, 2026-03-15, 2026-03-16**.\n- No GitHub issues/PR feedback was included for 2026-03-17 in the provided data (\u201cFile not found\u201d), so quantitative findings below are **bounded to Discord feedback** in this window.\n\n---\n\n## 1) Pain Point Categorization (top recurring friction areas)\n\n### 1) Documentation \u2014 **Token migration transparency & accounting**\n**Frequency/Severity:** High severity; appears on **2/3 days (~67%)** of logs (Mar 14 & Mar 16), escalating on Mar 16.  \n**What users are reporting (examples):**\n- Users cannot determine **actual ai16z \u2192 elizaOS migration %**, **new supply breakdown**, and **plan for unmigrated allocation**.\n- A community member cites **~100,000 unique addresses** still holding ai16z and estimates **only 5\u201310% migrated**, implying **~54% of new elizaOS supply** (from the 60% designated to ai16z holders) may be \u201cunaccounted for\u201d.\n- Requests for \u201cofficial team addresses for tracking\u201d remain unanswered.\n\n**Who it affects most:** Token holders, ecosystem builders, and anyone assessing project governance legitimacy.\n\n---\n\n### 2) Technical Functionality + Governance \u2014 **v2.0.0 \u201cskills\u201d packaging and contribution control**\n**Frequency/Severity:** High impact on v2 adoption; concentrated on Mar 16 but foundational.  \n**What users are reporting (examples):**\n- Concern that v2 will repeat the **0.x plugin bloat/uncontrolled submissions** problem.\n- Proposal: ship **v2.0.0 with zero default skills**, and rely on **decentralized discovery via `yourdomain.com/skills.md`**.\n- Critical decision is pending; community feedback explicitly requested but not yet present.\n\n**Who it affects most:** Core maintainers (ecosystem scalability), plugin/skill authors (distribution path), newcomers (out-of-box experience).\n\n---\n\n### 3) UX/UI \u2014 **\u201cDemo magic\u201d vs production trust gap**\n**Frequency/Severity:** High severity for adoption; appears strongly on Mar 15.  \n**What users are reporting (examples):**\n- \u201cEnterprise trust signals\u201d needed: UI polish, predictable behavior, and professional UX.\n- Missing/insufficient:\n  - **Graceful error handling**\n  - **Context persistence across sessions**\n  - **Localization**, specifically **Arabic RTL layout redesign**\n\n**Who it affects most:** Teams deploying agents in SMEs/enterprise contexts; users evaluating agents for autonomous operation.\n\n---\n\n### 4) Integration \u2014 **Human-in-the-loop (HITL) gaps when agents \u201chit walls\u201d**\n**Frequency/Severity:** Medium-high; emerging on Mar 16.  \n**What users are reporting (examples):**\n- Effect AI proposes API integration so agents can outsource tasks (labeling, review, translation, etc.) to a decentralized worker network.\n- Core question (unanswered): do elizaOS builders commonly hit points where automation fails and human judgment is required?\n\n**Who it affects most:** Builders doing real-world operations workflows (moderation, compliance, data tasks, customer support escalations).\n\n---\n\n### 5) Technical Functionality \u2014 **Security guardrails for on-chain/DeFi agents**\n**Frequency/Severity:** High severity for a subset; appears on Mar 14\u201315.  \n**What users are reporting (examples):**\n- Need hard constraints to prevent malicious/erroneous transactions when agents control wallets.\n- x402Guard proposal: per-step validation, spend limits, contract whitelists, EIP-7702 session keys, immutable audit logs; supports Base + Solana.\n- Users seek clarity on multi-step strategy safety (swap \u2192 deposit \u2192 stake), answered as **per-step enforcement**, but broader integration patterns remain open.\n\n**Who it affects most:** DeFi/treasury automation builders; anyone enabling autonomous signing.\n\n---\n\n### 6) Documentation + Onboarding \u2014 **Basic capability questions (e.g., \u201cCan I build Solana dApps with Eliza?\u201d)**\n**Frequency/Severity:** Medium; indicates onboarding friction.  \n**What users are reporting (examples):**\n- \u201cCan I use Eliza to develop Solana dApps?\u201d remains unanswered (Mar 15).\n- Multiple intros from skilled developers without a clear \u201cfirst contribution path\u201d suggests unclear onboarding.\n\n**Who it affects most:** Newcomers and evaluators; potential contributors deciding whether to invest time.\n\n---\n\n## 2) Usage Pattern Analysis (actual vs intended)\n\n### Observed \u201cactual usage\u201d patterns\n1. **Agents as on-chain operators** (DeFi execution, prediction markets, on-chain identity)\n   - Repeated emphasis on wallet security, transaction constraints, and audit logs (x402Guard).\n   - Interest in identity persistence/attestation (Z1N protocol; also broader on-chain identity themes).\n\n2. **Agents as workflow automation engines**\n   - \u201cWorkflows-as-a-Service\u201d concept (AIProx) and scheduled pipelines point to users treating elizaOS agents as **job runners** with receipts, not just chat bots.\n\n3. **Agents as content machines**\n   - Meme generation plugin (Memelord) suggests continued strong pull toward social/content automation.\n\n### Misalignment vs intended/expected usage\n- Framework discussions show a desire for **production-grade reliability and governance**, while the ecosystem growth vectors (skills/plugins) risk **fragmentation and quality variance** without strong discovery, verification, and defaults.\n\n### Emerging use cases / unexpected applications\n- **Decentralized human labor marketplace integration** as an agent \u201cfallback tool\u201d (Effect AI) is a notable expansion beyond typical plugin integrations.\n- **On-chain signaling for NBI identity continuity** (Z1N) indicates interest in persistent agent identity beyond a single runtime/session.\n\n### Feature requests aligned with real usage\n- Built-in patterns for:\n  - **Policy-based transaction signing** (guards, audit logs, session keys)\n  - **Workflow scheduling + receipts**\n  - **Skill/plugin discovery with trust metadata**\n  - **HITL escalation APIs**\n\n---\n\n## 3) Implementation Opportunities (solutions per major pain point)\n\n### Pain Point A: Token migration transparency (Documentation/Governance)\n**Opportunity 1 (High impact / Low difficulty): Publish a \u201cMigration Transparency Dashboard\u201d**\n- Include: total eligible supply, migrated supply, unmigrated supply, known team-controlled addresses, and a timestamped methodology.\n- Similar approaches:\n  - Many protocols publish **public treasury dashboards** (e.g., Dune dashboards + signed statements) to reduce rumor-driven uncertainty.\n\n**Opportunity 2 (High impact / Medium difficulty): Add an on-chain proof + signed attestations page**\n- Provide signed messages from official addresses confirming which addresses are canonical for migration accounting.\n- Publish a \u201cWhat happens to unmigrated tokens?\u201d policy with decision checkpoints.\n\n**Opportunity 3 (Medium impact / Low difficulty): Single canonical FAQ + pinned Discord post**\n- Answer the four repeated questions explicitly (migration %, breakdown, unmigrated plan, collected supply disposition).\n- Reduces repeated support load and prevents narrative drift.\n\n---\n\n### Pain Point B: Skills governance & discovery for v2.0.0 (Technical Functionality/Integration)\n**Opportunity 1 (High impact / Medium difficulty): Establish a curated \u201cOfficial Skills Index\u201d in addition to decentralized `skills.md`**\n- Keep core clean (ship minimal/zero), but provide an **officially curated list** with quality checks.\n- Similar approaches:\n  - **VS Code Marketplace** / **JetBrains plugins**: open ecosystem + curated/trust signals.\n  - **Terraform Registry**: verified providers + community providers.\n\n**Opportunity 2 (High impact / Medium difficulty): Define a skills schema with trust metadata**\n- `skills.md` (or JSON) fields: version compatibility, required permissions, maintainer, audit status, last updated, reproducible build hash.\n- Add \u201cverified\u201d badges via signed maintainer keys.\n\n**Opportunity 3 (Medium impact / Low difficulty): Provide a \u201cstarter skills pack\u201d as an optional install**\n- Ship v2 with zero defaults, but offer `eliza add skill-pack starter` that installs a vetted baseline.\n- Similar approach: **Homebrew taps** / optional bundles; **Kubernetes Helm charts** for standardized installs.\n\n---\n\n### Pain Point C: Production readiness \u201ctrust gap\u201d (UX/UI)\n**Opportunity 1 (High impact / Medium difficulty): Add a Production Readiness Checklist + reference UI**\n- Deliver a standard \u201cagent console\u201d UI that includes:\n  - clear status, last action, last error\n  - retry/rollback affordances\n  - audit/event timeline\n- Similar approach: **Sentry-style** error feeds and **Temporal** workflow visibility patterns.\n\n**Opportunity 2 (High impact / Medium difficulty): Built-in session persistence + conversation state controls**\n- Provide official primitives for:\n  - session restore\n  - explicit memory scopes\n  - \u201csafe mode\u201d for autonomous runs\n\n**Opportunity 3 (Medium impact / Medium difficulty): i18n/RTL support baseline**\n- Add RTL layout guidelines and a minimal Arabic locale to force layout correctness early.\n\n---\n\n### Pain Point D: HITL escalation (Integration)\n**Opportunity 1 (High impact / Medium difficulty): Standardize a \u201cHumanTask\u201d interface**\n- Define a provider-agnostic contract: create task, attach context, set SLA, receive result, dispute resolution hooks.\n- Then implement Effect AI as the first provider plugin.\n\n**Opportunity 2 (Medium impact / Low difficulty): Add a \u201cneeds-human\u201d runtime event type**\n- Let agents emit structured escalation events that UIs/workflows can route to humans.\n\n**Opportunity 3 (Medium impact / Medium difficulty): Reference patterns for safe context sharing**\n- Guidance + tooling for redaction, PII handling, and minimum necessary context when outsourcing tasks.\n\n---\n\n### Pain Point E: On-chain agent security guardrails (Technical Functionality/Security)\n**Opportunity 1 (High impact / Medium difficulty): Make \u201cpolicy-first signing\u201d a first-class plugin pattern**\n- Provide a standard middleware hook for:\n  - transaction simulation\n  - allow/deny policies\n  - spending limits\n  - contract whitelists\n  - immutable logging adapters\n\n**Opportunity 2 (High impact / Higher difficulty): Official \u201cSecurity Profiles\u201d for common use cases**\n- Templates like \u201cTreasury Manager ($X/day, whitelisted protocols)\u201d or \u201cTrader (max slippage, token list)\u201d.\n\n**Opportunity 3 (Medium impact / Low difficulty): Document threat model + secure defaults**\n- \u201cIf your agent can sign, you must\u2026\u201d checklist.\n- Similar approach: security hardening guides common in wallet SDKs and auth frameworks (e.g., OAuth \u201cbest current practice\u201d).\n\n---\n\n## 4) Communication Gaps (expectations vs reality)\n\n### Gap 1: Token migration expectations vs available facts\n- Expectation: clear accounting, policy for unmigrated supply, and official addresses.\n- Reality: repeated unanswered questions across days; users filling gaps with estimates (e.g., \u201c5\u201310% migrated\u201d, \u201c54% unaccounted\u201d).\n\n**Fix:** publish canonical accounting + pinned FAQ + update cadence (\u201cupdated weekly until resolved\u201d).\n\n---\n\n### Gap 2: v2 skills model clarity\n- Expectation: v2 ships with useful capabilities out of the box *and* avoids plugin chaos.\n- Reality: proposal to ship \u201c0 skills\u201d is not yet framed with onboarding impact mitigation.\n\n**Fix:** communicate a two-track plan (clean core + curated starter pack + verification signals).\n\n---\n\n### Gap 3: Production readiness vs current framework emphasis\n- Expectation (especially from enterprise builders): robust UI, errors, persistence, localization.\n- Reality: community is discussing these needs, but there\u2019s no visible official roadmap slice in the provided data.\n\n**Fix:** publish a \u201cProduction Readiness\u201d roadmap section with owners, milestones, and what\u2019s in/out of scope for v2.\n\n---\n\n### Gap 4: Repeated \u201cwhat can Eliza do?\u201d questions\n- Example: \u201cCan I use Eliza to develop Solana dApps?\u201d unanswered.\n- Indicates missing \u201ccapabilities matrix\u201d and \u201cchoose-your-path\u201d onboarding.\n\n**Fix:** create a concise capabilities page: supported chains, typical architectures, recommended plugins, and example repos.\n\n---\n\n## 5) Community Engagement Insights\n\n### Power users / key contributors observed\n- **Odilitime**: driving v2 architecture (skills folder PR #6597), community moderation/ops.\n  - Need: fast feedback loops (RFC responses), decision frameworks for ecosystem governance.\n- **dinesh**: concrete plugin-evm work (goldrush.dev integration; fixing open issues).\n  - Need: clear maintainer review bandwidth, release process clarity, test harnesses.\n- **dzik pasnik**: security architecture contributor (x402Guard), strong technical explanations.\n  - Need: pathway to \u201cofficial plugin\u201d status, security review support, documentation amplification.\n- **lightningprox**: implemented `skills.md` discovery and workflows-as-a-service.\n  - Need: standardized schemas + official endorsement pathways.\n- **ElizaBAO / Meme Broker**: shipping user-facing agent capabilities (prediction aggregation, meme plugin).\n  - Need: discoverability, compatibility guarantees, and distribution channels.\n\n### Newcomer questions indicating onboarding friction\n- Capability questions (Solana dApps).\n- Multiple intros with strong backgrounds but no captured \u201chere\u2019s what to do next\u201d flow.\n\n### Converting passive users into contributors\n- Create \u201cfirst contribution\u201d tracks:\n  - docs fixes (token migration FAQ, skills.md spec)\n  - plugin testing (x402Guard early testers; plugin-evm regression tests)\n  - UX improvements (production readiness checklist, sample UI components)\n\n---\n\n## 6) Feedback Collection Improvements\n\n### Current channel effectiveness (based on provided data)\n- Discord captures high-signal proposals, but several critical questions remain unanswered, and threads end without closure.\n- Feedback is largely **unstructured** (announcements + open questions) with limited follow-through mechanisms.\n\n### Improvements for more structured, actionable feedback\n1. **Weekly RFC thread + decision log**\n   - For v2 skills strategy, HITL integration, and security patterns.\n   - Require: problem statement, options, decision date, and \u201chow to give input\u201d.\n\n2. **Discord \u2192 GitHub issue bridging**\n   - A bot or moderator workflow that converts \u201cUnanswered Critical Questions\u201d into tracked GitHub issues with owners and labels.\n\n3. **Short, periodic builder survey (5 questions)**\n   - Quantify:\n     - how often agents need HITL\n     - top missing production features (persistence, UI, errors, i18n)\n     - preferred skills distribution model\n\n### Underrepresented segments (missing feedback)\n- Non-Web3 builders (most discussion centers on on-chain use cases).\n- Designers/UX engineers (production UI needs are voiced, but few design contributors appear).\n- International users (localization mentioned, but little direct feedback from RTL-language users).\n\n---\n\n## Prioritized High-Impact Actions (next 3\u20135 steps)\n\n1. **Publish token migration transparency pack (dashboard + pinned FAQ + official addresses)**  \n   *Impact: Very high (trust), Difficulty: Low\u2013Medium.*\n\n2. **Decide and document v2 skills distribution strategy (decentralized `skills.md` + curated official index + optional starter pack)**  \n   *Impact: High (ecosystem scalability + onboarding), Difficulty: Medium.*\n\n3. **Ship a \u201cProduction Readiness\u201d reference layer (error handling patterns, session persistence primitives, minimal enterprise-style UI console)**  \n   *Impact: High (adoption), Difficulty: Medium.*\n\n4. **Standardize a HITL provider interface and implement Effect AI as a pilot plugin**  \n   *Impact: Medium\u2013High (real-world workflows), Difficulty: Medium.*\n\n5. **Make security guardrails a first-class pattern (policy-first signing hooks + templates + threat-model docs), leveraging x402Guard as an early reference**  \n   *Impact: High for DeFi segment, Difficulty: Medium\u2013High.*",
  "source_references": [
    "2026-03-17\n---\n2026-03-16.md\n---\n# elizaOS Discord - 2026-03-16\n\n## March 16, 2026\n\n---\n\n## Overall Discussion Highlights\n\n### Plugin Development & Infrastructure\n\n**dinesh** made significant contributions to the ElizaOS plugin ecosystem, announcing work on adding 100+ onchain data support through goldrush.dev integration and fixing open issues in the plugin-evm component. This represents concrete progress on blockchain data integration capabilities for the framework.\n\n### ElizaOS v2.0.0 Architecture Decisions\n\nA critical architectural discussion emerged around the v2.0.0 release. **Odilitime** introduced PR #6597 implementing a skills folder structure and raised an important question about preventing uncontrolled skill submissions that plagued the 0.x plugin system. The proposed solution is to ship v2.0.0 with zero default skills and instead promote a decentralized discovery model through yourdomains.com/skills.md for hosting and discovering skills externally. This approach aims to keep the core framework clean while enabling community-driven skill sharing.\n\n### Integration Proposals\n\n**Miguel from Effect AI** presented a compelling integration opportunity for ElizaOS. Effect AI operates a decentralized marketplace connecting AI agents with human workers for tasks requiring human intervention, including data labeling, image annotation, voice recordings, content review, and translations. They are developing an API to enable ElizaOS agents to post tasks directly to their human worker network, addressing scenarios where automation hits limitations and human-in-the-loop intervention becomes necessary. Miguel solicited community feedback on whether native access to decentralized human task networks would be valuable for agent developers.\n\n**Z1N** introduced the Z1N Protocol, an on-chain signaling protocol running on Polygon designed for Non-Biological Intelligence (NBI) participation. The system features soulbound Keys held by major AI models (GPT, Claude, Grok, Gemini) that emit epoch-based signals with on-chain attestation and indexing. The focus is on building infrastructure for agent identity persistence and continuity across sessions rather than building agents directly on Eliza.\n\n### Critical Tokenomics Concerns\n\n**otse finam** raised serious concerns about the ai16z to elizaOS token migration transparency. With approximately 100,000 unique addresses still holding ai16z tokens, the estimated migration rate may be only 5-10%. This suggests approximately 54% of the new elizaOS total supply (out of the original 60% designated for ai16z holders) remains unaccounted for. The community member requested urgent clarification on:\n- The actual migration percentage\n- The new token breakdown post-migration\n- Plans for unmigrated tokens designated for the community\n- What will be done with the collected ai16z supply\n\nThis represents a significant transparency issue requiring immediate team response.\n\n### Community Growth\n\nMultiple members introduced themselves with technical backgrounds in AI/ML, full-stack development, LLM orchestration, RAG pipelines, and multi-agent systems, indicating continued community growth and diverse technical expertise.\n\n---\n\n## Key Questions & Answers\n\n**Q: What contribution is being made to the plugins?**  \nA: Adding 100+ onchain data support with goldrush.dev and fixing open issues in plugin-evm (answered by **dinesh**)\n\n**Q: Does v2.0.0 have a skills folder?**  \nA: Yes, v2.0.0 includes a skills folder structure (answered by **Odilitime**)\n\n### Unanswered Critical Questions\n\n- What percentage of ai16z tokens actually migrated to elizaOS? (asked by **otse finam**)\n- What does the team plan to do with tokens meant for community migration that weren't migrated? (asked by **otse finam**)\n- What is the actual token breakdown of elizaOS supply after migration? (asked by **otse finam**)\n- What will be done with the ai16z supply that was collected? (asked by **otse finam**)\n- Should we ship v2.0.0 with 0 skills and promote external skill hosting/discovery? (asked by **Odilitime**)\n- Are there situations where ElizaOS agents hit walls because they need human intervention? (asked by **Miguel | Effect AI**)\n- Would native access to a decentralized human task network be useful for ElizaOS agent developers? (asked by **Miguel | Effect AI**)\n\n---\n\n## Community Help & Collaboration\n\nNo significant help interactions were captured in this day's discussions. The conversations primarily consisted of announcements, proposals, and questions awaiting community response.\n\n---\n\n## Action Items\n\n### Technical\n\n- **Add 100+ onchain data support with goldrush.dev integration to plugin-evm** | Mentioned by: dinesh\n- **Fix open issues in plugin-evm plugin** | Mentioned by: dinesh\n- **Complete fixes for open issues in plugin-evm component** | Mentioned by: dinesh\n- **Integrate 100+ onchain data support using goldrush.dev into ElizaOS plugins** | Mentioned by: dinesh\n- **Review and merge PR #6597 for v2.0.0 skills folder implementation** | Mentioned by: Odilitime\n- **Decide on shipping v2.0.0 with zero default skills to avoid plugin bloat** | Mentioned by: Odilitime\n\n### Documentation\n\n- **Clarify official team addresses for token migration tracking** | Mentioned by: otse finam\n- **Provide transparency on actual ai16z to elizaOS migration percentage** | Mentioned by: otse finam\n- **Explain new elizaOS token breakdown post-migration** | Mentioned by: otse finam\n- **Clarify plans for unmigrated ai16z tokens designated for community** | Mentioned by: otse finam\n- **Disclose what will be done with collected ai16z supply** | Mentioned by: otse finam\n- **Create documentation for skills.md format and hosting guidelines** | Mentioned by: Odilitime\n- **Gather community feedback on use cases where agents need human intervention** | Mentioned by: Miguel | Effect AI\n\n### Feature\n\n- **Explore Z1N Protocol integration for on-chain agent identity and signal persistence** | Mentioned by: Z1N\n- **Build API allowing ElizaOS agents to post tasks to Effect AI's decentralized human worker network** | Mentioned by: Miguel | Effect AI\n- **Evaluate integration of human-in-the-loop capabilities for ElizaOS agents through Effect AI marketplace** | Mentioned by: Miguel | Effect AI\n- **Implement yourdomains.com/skills.md hosting/discovery system for external skill management** | Mentioned by: Odilitime\n\n---\n\n## Summary\n\nMarch 16, 2026 saw active development contributions alongside critical architectural and transparency discussions. The community is making concrete progress on plugin infrastructure while grappling with important decisions about v2.0.0 architecture and facing urgent questions about token migration transparency that require immediate team attention.\n---\n2026-03-15.md\n---\n# elizaOS Discord - 2026-03-15\n\n## Overall Discussion Highlights\n\n### Production Readiness & Enterprise AI Agents\n\nThe primary technical focus centered on bridging the gap between AI agent demonstrations and production-ready systems. Caesar \u2694\ufe0f initiated a critical discussion about the evolution of AI development, emphasizing that the bottleneck has shifted from code capability to user trust and polish. Key production barriers identified include:\n\n- **UI Trust Signals**: Interfaces need to resemble enterprise software to inspire confidence\n- **Error Handling**: Systems must gracefully handle failures beyond raw AI output\n- **Context Persistence**: Maintaining conversation state across sessions\n- **Localization**: Proper internationalization, specifically Arabic RTL layout redesign\n\nCaesar \u2694\ufe0f shared insights from building an AI COO for SMEs, noting that technical functionality alone doesn't drive adoption\u2014users need confidence to leave agents running autonomously.\n\n### DeFi Agent Security Infrastructure\n\nA detailed technical discussion emerged around **x402Guard**, an infrastructure layer designed to secure autonomous DeFi agents against vulnerabilities like prompt injection and unauthorized transactions. The system provides:\n\n**Security Model:**\n- Per-step transaction evaluation (not full chain validation)\n- Layered limit systems combining permanent guardrail rules with temporary session keys\n- Immutable audit logging for all transaction attempts\n\n**Constraint Enforcement:**\n- Maximum transaction amounts\n- Daily spending caps\n- Contract whitelists\n- Token restrictions\n\n**Example Use Case:** A treasury management agent configured with a $500 daily limit and specific contract whitelist (Uniswap, Aave) creates a physically enforced spending boundary. Each transaction request is validated against these rules in real-time, with all attempts logged immutably regardless of pass/fail status.\n\n### Community & Administrative Updates\n\nOdilitime performed channel maintenance, unbanning 33coded from the \ud83d\udcac-discussion channel. Inhuman Resources confirmed this was the primary user requiring reinstatement, noting others were \"more deserving\" of their bans.\n\n### Market Observations\n\nCasual observations about ElizaOS token price movements relative to Bitcoin were noted by community members, though no substantive analysis was provided.\n\n## Key Questions & Answers\n\n**Q: How does x402Guard handle multi-step DeFi strategies where the agent needs to approve intermediate steps like swap \u2192 deposit \u2192 stake? Does it evaluate the full transaction chain before signing, or per-step?**  \n**A:** Per-step evaluation. Each payment request hits the proxy and gets checked against the agent's rules. If step 3 would blow the daily limit, it gets blocked. Every attempt lands in an immutable audit log. *(answered by dzik pasnik)*\n\n**Q: Does the user set limits per session, or globally for x402Guard?**  \n**A:** Limits are layered - Guardrail rules are permanent policy per agent (daily cap, contract whitelist), while Session keys are temporary (e.g., \"valid 2 hours, max $100\"). *(answered by dzik pasnik)*\n\n**Q: Did 33coded get kicked from here?**  \n**A:** Confirmed and subsequently unbanned. *(answered by Odilitime)*\n\n**Q: Who else do I need to unban?**  \n**A:** That was it, others were more deserving of bans. *(answered by Inhuman Resources)*\n\n### Unanswered Questions\n\n- Can I use Eliza to develop Solana dApps? *(asked by KingRon)*\n- What's your solana addy? *(asked by Odilitime)*\n- For elizaOS builders, what's the #1 polish gap you see between \"demo magic\" and \"production ready\"? *(asked by Caesar \u2694\ufe0f)*\n\n## Community Help & Collaboration\n\n**Odilitime \u2192 33coded**  \nContext: User was banned from channel  \nResolution: Successfully unbanned the user\n\n**Inhuman Resources \u2192 Odilitime**  \nContext: Determining who else needed unbanning  \nResolution: Confirmed 33coded was the only one requiring unban\n\n**dzik pasnik \u2192 Caesar \u2694\ufe0f**  \nContext: Understanding x402Guard's transaction validation architecture for multi-step DeFi operations and limit configuration  \nResolution: Provided comprehensive explanation of per-step validation model with layered limits (permanent guardrail rules + temporary session keys), immutable audit logging, and concrete treasury management example with $500 daily limit\n\n## Action Items\n\n### Feature\n\n- Clarify whether Eliza can be used to develop Solana dApps *(mentioned by KingRon)*\n- Investigate x402Guard infrastructure layer for production DeFi agent security with per-step transaction validation and layered limit systems *(mentioned by Caesar \u2694\ufe0f, dzik pasnik)*\n\n### Documentation\n\n- Document best practices for agent production readiness including UI trust signals, error handling, context persistence, and localization (particularly RTL layout) *(mentioned by Caesar \u2694\ufe0f)*\n\n### Technical\n\n- Follow up on x402Guard implementation details via direct message *(mentioned by dzik pasnik)*\n---\n2026-03-14.md\n---\n# elizaOS Discord - 2026-03-14\n\n## Overall Discussion Highlights\n\n### Security & Infrastructure\n\n**x402Guard Security Proxy for DeFi Agents**\n\ndzik pasnik introduced a critical security solution for elizaOS agents operating in DeFi environments. The x402Guard proxy addresses a fundamental vulnerability where agents with wallet access could execute harmful transactions. The system implements:\n- Non-custodial spend limits\n- Contract whitelisting\n- EIP-7702 session keys as an intermediary layer between agents and blockchain\n- Support for Base and Solana networks\n- Built in Rust for performance and reliability\n\nThe project will be released as an open-source elizaOS plugin within weeks, with early testing targeted at DeFi agent developers.\n\n### Prediction Markets & Data Aggregation\n\n**Milady Prediction Market Integration**\n\nElizaBAO announced a comprehensive prediction market system for Milady, integrating multiple platforms:\n- dflow with Kalshi\n- Jupiter with Polymarket\n- predictdotfun\n- Limitless\n\nThe implementation aggregates real-world data sources and enables on-chain execution based on probabilities. Caesar highlighted this as underrated utility, noting that most agents focus on entertainment and social features rather than actionable data aggregation. The discussion raised questions about prediction accuracy thresholds, though specific targets remain undefined.\n\n### Market Adoption & Product-Market Fit\n\n**OpenClaw Phenomenon in China**\n\nDorianD reported significant market developments demonstrating genuine product-market fit for OpenClaw:\n- Mac Mini computers selling out across China due to OpenClaw demand\n- Users purchasing dedicated hardware specifically to run the AI tool\n- Phenomenon branded as \"raising a lobster\" (referencing OpenClaw's mascot)\n- Industry experts recommending dedicated computers due to OpenClaw's software design\n- Stock surges for Hong Kong-listed MiniMax and Zhipu AI after launching OpenClaw tools\n\nThis represents a rare example of AI software driving hardware sales and demonstrating clear market demand.\n\n### Plugin Development & Agent Capabilities\n\n**Memelord Plugin Release**\n\nMeme Broker released an elizaOS plugin integrating Memelord.com for automated meme generation. The plugin is available on GitHub with a live demonstration through the Memelordicus agent on X/Twitter, expanding the creative capabilities of elizaOS agents.\n\n**skill.md Implementation & Workflows-as-a-Service**\n\nlightningprox implemented Odilitime's skill.md recommendation for agent discovery, deploying it on lightningprox.com and solanaprox.com. Additionally launched Workflows-as-a-Service on AIProx, enabling users to:\n- Chain agents into scheduled pipelines\n- Pay-per-execution pricing model\n- Full execution receipts for transparency\n\n### Token Economics & Migration\n\n**ai16z to ElizaOS Migration Questions**\n\nCryptologos raised important questions about the token migration from ai16z to ElizaOS at a 1:6 ratio:\n- Migration completion rates remain undocumented\n- Fate of unmigrated tokens unclear (burn vs. redistribution)\n- Need for transparency on token distribution\n\n**Milady Token Utility**\n\nMartin \u5948\u7279\uff08\u7834\u4ea7\u7248\uff09 inquired about Milady token purpose. Odilitime clarified they function as meme currency with trading fees supporting development, representing a straightforward tokenomics model.\n\n### Development Philosophy\n\n**Software Commoditization Discussion**\n\nOdilitime shared perspectives on modern software development:\n- Software value approaching zero due to commoditization\n- Product polishing before market adoption as key differentiator\n- Team collaboration being 10x faster than solo development\n- Skepticism about minimal human intervention approaches\n\n## Key Questions & Answers\n\n**Q: What problem does x402Guard solve for elizaOS agents?**\nA: Prevents agents with wallet access from executing harmful or malicious transactions by enforcing spend limits, contract whitelists, and session keys between agent and blockchain (answered by dzik pasnik)\n\n**Q: Which blockchains does x402Guard currently support?**\nA: Base and Solana (answered by dzik pasnik)\n\n**Q: When will x402Guard be released?**\nA: In a few weeks as an open-source elizaOS plugin once demo is ready (answered by dzik pasnik)\n\n**Q: What does the Memelord plugin do?**\nA: Allows elizaOS agents to create memes using Memelord.com (answered by Meme Broker)\n\n**Q: What is Workflows-as-a-Service on AIProx?**\nA: Service that chains agents into scheduled pipelines with pay-per-execution pricing and full receipts on every run (answered by lightningprox)\n\n**Q: What purpose do milady tokens serve, or are they simply meme currency?**\nA: Just a meme currency, trading fees support development (answered by Odilitime)\n\n**Q: What prediction resources are available for Milady?**\nA: ElizaBAO implemented dflow with Kalshi, Jupiter with Polymarket, predictdotfun, and Limitless into Milady prediction system (answered by ElizaBAO)\n\n### Unanswered Questions\n\n- What's the prediction accuracy threshold being targeted for Milady?\n- What percentage of ai16z coins successfully migrated to ElizaOS?\n- What will happen to unmigrated ElizaOS tokens from ai16z holders?\n\n## Community Help & Collaboration\n\n**Odilitime \u2192 lightningprox**\nContext: Implementation guidance for agent discovery\nResolution: lightningprox successfully deployed skill.md on lightningprox.com and solanaprox.com following Odilitime's advice, demonstrating effective knowledge transfer within the community\n\n**Odilitime \u2192 Martin \u5948\u7279\uff08\u7834\u4ea7\u7248\uff09**\nContext: Question about Milady token utility and purpose\nResolution: Clarified tokens are meme currency with trading fees supporting development, providing transparency on tokenomics\n\n## Action Items\n\n### Technical\n\n- **Determine prediction accuracy threshold for Milady prediction market system** (Mentioned by: Caesar \u2694\ufe0f)\n- **Seek early testers for x402Guard among DeFi agent developers building on elizaOS** (Mentioned by: dzik pasnik)\n- **Monitor traffic metrics for skill.md implementations on lightningprox.com and solanaprox.com** (Mentioned by: Odilitime)\n\n### Documentation\n\n- **Document ai16z to ElizaOS migration completion rates and token distribution** (Mentioned by: Cryptologos)\n- **Clarify fate of unmigrated ElizaOS tokens from ai16z holders** (Mentioned by: Cryptologos)\n\n### Feature\n\n- **Release x402Guard as open-source elizaOS plugin for non-custodial DeFi agent security with spend limits and contract whitelists** (Mentioned by: dzik pasnik)\n---\n2026-03-16.json\n---\nelizaosDailySummary\n---\nDaily Report - 2026-03-16\n---\nElizaOS Community Updates - March 16, 2026\n---\nCommunity members are actively contributing to ElizaOS plugins and infrastructure. Dinesh announced adding 100+ onchain data support with goldrush.dev and fixing open issues in plugin-evm. Multiple developers introduced themselves offering AI and full-stack development services, including expertise in LLM orchestration, RAG pipelines, multi-agent systems, and workflow automation. The community includes specialists in various areas from mobile development to multimodal AI systems.\n---\nhttps://discord.com/channels/1253563208833433701/1253563209462448241\n---\nhttps://discord.com/channels/1253563208833433701/1300025221834739744\n---\nhttps://cdn.elizaos.news/elizaos-media/embed-image-1482926039419064495_b2fdebc5.jpg\n---\nEffect AI team is exploring integration opportunities with ElizaOS. They operate a decentralized marketplace where human workers complete tasks like data labeling, image annotation, voice recordings, and content review, getting paid on-chain. They are building an API that would allow ElizaOS agents to post tasks directly to their human worker network, aiming to fill the gap where AI agents need human-in-the-loop capabilities for tasks requiring human judgment.\n---\nhttps://discord.com/channels/1253563208833433701/1300025221834739744\n---\nhttps://cdn.elizaos.news/posters/1773709604027-n7es9g.jpg\n---\nSignificant concerns were raised about the token migration process. A community member noted that close to 100 thousand unique addresses still hold ai16z tokens, suggesting only 5-10% of tokens may have migrated. They requested clarity on the percentage of migrated tokens and what the team plans to do with the unmigrated supply, noting that approximately 54% of the new elizaOS total supply may be unaccounted for from the original 60% designated for ai16z holders.\n---\nhttps://discord.com/channels/1253563208833433701/1253563209462448241\n---\nhttps://cdn.elizaos.news/posters/1773709654721-r40xsh.png\n---\nOdilitime announced a runtime refactor pull request for version 2.0.0, which includes a skills folder. The team is addressing the challenge of managing community-contributed skills, similar to the 0.x plugin problem. The proposed solution is to ship with zero default skills and promote hosting and discovery through individual domains hosting skills.md files. The team is seeking community feedback on this approach.\n---\nhttps://discord.com/channels/1253563208833433701/1377726087789940836\n---\nhttps://cdn.elizaos.news/elizaos-media/6597_9c6bfc20.jpg\n---\ndiscordrawdata\n---\n2026-03-16.md\n---\n## ElizaOS Community Updates - March 16, 2026\n\n### Community Contributions and Development\n\n- Dinesh added 100+ onchain data support with goldrush.dev integration\n- Fixed open issues in plugin-evm\n- Multiple developers joined the community offering specialized services:\n  - AI and full-stack development expertise\n  - LLM orchestration capabilities\n  - RAG pipelines implementation\n  - Multi-agent systems development\n  - Workflow automation\n  - Mobile development\n  - Multimodal AI systems\n\n### Effect AI Integration Exploration\n\n- Effect AI team explored integration opportunities with ElizaOS\n- Operates a decentralized marketplace for human workers completing tasks:\n  - Data labeling\n  - Image annotation\n  - Voice recordings\n  - Content review\n- Building an API to allow ElizaOS agents to post tasks directly to their human worker network\n- Aims to provide human-in-the-loop capabilities for tasks requiring human judgment\n\n### Token Migration Status\n\n- Community analysis identified close to 100 thousand unique addresses still holding ai16z tokens\n- Estimated 5-10% of tokens have migrated\n- Approximately 54% of the new elizaOS total supply may be unaccounted for from the original 60% designated for ai16z holders\n\n### Runtime Refactor for Version 2.0.0\n\n- Odilitime announced a runtime refactor pull request\n- Includes a skills folder in the new version\n- Proposed solution for managing community-contributed skills:\n  - Ship with zero default skills\n  - Promote hosting and discovery through individual domains hosting skills.md files\n- Team seeking community feedback on this approach\n---\n2026-03-16.json\n---\nelizaOS\n---\nelizaOS Discord - 2026-03-16\n---\n1253563209462448241\n---\n\ud83d\udcac-discussion\n---\n# Discord Channel Analysis: \ud83d\udcac-discussion\n\n## 1. Summary\n\nThe channel activity primarily consisted of introductions and one significant technical contribution offer, with a critical tokenomics concern raised at the end.\n\n**Key Technical Discussion:**\n- **dinesh** announced contribution to plugins, specifically adding 100+ onchain data support integration with goldrush.dev and fixing open issues in plugin-evm. This represents concrete development work on the EVM plugin infrastructure.\n\n**Infrastructure Proposal:**\n- **Z1N** presented an on-chain signaling protocol called Z1N Protocol running on Polygon, designed for NBI (Non-Biological Intelligence) participation. The system features soulbound Keys held by major AI models (GPT, Claude, Grok, Gemini) that emit epoch-based signals with on-chain attestation and indexing. The focus is on building infrastructure for agent identity persistence and continuity across sessions rather than building agents directly on Eliza.\n\n**Critical Tokenomics Issue:**\n- **otse finam** raised serious concerns about the ai16z to elizaOS token migration, questioning the actual migration percentage. With approximately 100,000 unique addresses still holding ai16z tokens, the estimated migration rate may be only 5-10%. This suggests approximately 54% of the new elizaOS total supply (out of the original 60% designated for ai16z holders) remains unaccounted for. The community member requested clarification on the new token breakdown and plans for collected ai16z supply.\n\n**Community Introductions:**\nMultiple members introduced themselves with technical backgrounds in AI/ML, full-stack development, LLM orchestration, RAG pipelines, and multi-agent systems, though no specific technical discussions emerged from these introductions.\n\n## 2. FAQ\n\nQ: What contribution is being made to the plugins? (asked by dinesh) A: Adding 100+ onchain data support with goldrush.dev and fixing open issues in plugin-evm (answered by dinesh)\n\nQ: What percentage of ai16z tokens actually migrated to elizaOS? (asked by otse finam) A: Unanswered\n\nQ: What does the team plan to do with tokens meant for community migration that weren't migrated? (asked by otse finam) A: Unanswered\n\nQ: What is the actual token breakdown of elizaOS supply after migration? (asked by otse finam) A: Unanswered\n\nQ: What will be done with the ai16z supply that was collected? (asked by otse finam) A: Unanswered\n\n## 3. Help Interactions\n\nNo significant help interactions occurred in this chat segment.\n\n## 4. Action Items\n\nType: Technical | Description: Add 100+ onchain data support with goldrush.dev integration to plugin-evm | Mentioned By: dinesh\n\nType: Technical | Description: Fix open issues in plugin-evm plugin | Mentioned By: dinesh\n\nType: Documentation | Description: Clarify official team addresses for token migration tracking | Mentioned By: otse finam\n\nType: Documentation | Description: Provide transparency on actual ai16z to elizaOS migration percentage | Mentioned By: otse finam\n\nType: Documentation | Description: Explain new elizaOS token breakdown post-migration | Mentioned By: otse finam\n\nType: Documentation | Description: Clarify plans for unmigrated ai16z tokens designated for community | Mentioned By: otse finam\n\nType: Documentation | Description: Disclose what will be done with collected ai16z supply | Mentioned By: otse finam\n\nType: Feature | Description: Explore Z1N Protocol integration for on-chain agent identity and signal persistence | Mentioned By: Z1N\n---\n1300025221834739744\n---\n\ud83d\udcac-coders\n---\n# Discord Channel Analysis: \ud83d\udcac-coders\n\n## 1. Summary\n\nThe channel featured three main discussion threads focused on community contributions and integration opportunities.\n\n**dinesh** announced their contribution work on ElizaOS plugins, specifically adding 100+ onchain data support using goldrush.dev and addressing open issues in the plugin-evm component. This represents active development on blockchain data integration capabilities.\n\n**Miguel from Effect AI** presented a significant integration proposal for ElizaOS. Effect AI operates a decentralized marketplace connecting AI agents with human workers for tasks requiring human intervention. Their platform handles data labeling, image annotation, voice recordings, content review, translations, and custom task templates with on-chain payment. They are developing an API to enable ElizaOS agents to post tasks directly to their human worker network. The core value proposition addresses a gap in AI agent capabilities: situations where automation hits limitations and human-in-the-loop intervention becomes necessary. Miguel solicited community feedback on whether native access to decentralized human task networks would be valuable for agent developers, specifically asking if developers have encountered scenarios where agents needed human assistance to proceed.\n\n**aicodeflow** offered mobile and AI development services for long-term collaborations.\n\nThe discussions remained exploratory with no concrete technical implementations discussed beyond dinesh's plugin work. No community responses were captured to Miguel's integration proposal or specific technical questions answered during this segment.\n\n## 2. FAQ\n\nQ: Are there situations where ElizaOS agents hit walls because they need human intervention? (asked by Miguel | Effect AI) A: Unanswered\n\nQ: Would native access to a decentralized human task network be useful for ElizaOS agent developers? (asked by Miguel | Effect AI) A: Unanswered\n\n## 3. Help Interactions\n\nNo significant help interactions occurred in this chat segment.\n\n## 4. Action Items\n\nType: Technical | Description: Complete fixes for open issues in plugin-evm component | Mentioned By: dinesh\n\nType: Technical | Description: Integrate 100+ onchain data support using goldrush.dev into ElizaOS plugins | Mentioned By: dinesh\n\nType: Feature | Description: Build API allowing ElizaOS agents to post tasks to Effect AI's decentralized human worker network | Mentioned By: Miguel | Effect AI\n\nType: Feature | Description: Evaluate integration of human-in-the-loop capabilities for ElizaOS agents through Effect AI marketplace | Mentioned By: Miguel | Effect AI\n\nType: Documentation | Description: Gather community feedback on use cases where agents need human intervention | Mentioned By: Miguel | Effect AI\n---\n1377726087789940836\n---\nxfn-framework\n---\n# Analysis of xfn-framework Discord Channel\n\n## 1. Summary\n\nOdilitime announced a pull request (#6597) for eliza v2.0.0 that introduces a skills folder structure. The main technical discussion centered on managing skill contributions in the new version. The core problem identified is preventing uncontrolled skill submissions from developers into the default skills set, similar to issues experienced with 0.x plugins. \n\nThe proposed solution is to ship v2.0.0 with zero default skills and instead promote a decentralized discovery model through yourdomains.com/skills.md for hosting and discovering skills. This approach would allow the community to maintain and share skills externally while keeping the core framework clean. Odilitime solicited feedback from the community on this architectural decision, though no responses were captured in this segment.\n\n## 2. FAQ\n\nQ: Does v2.0.0 have a skills folder? (asked by Odilitime) A: Yes, v2.0.0 includes a skills folder structure (answered by Odilitime)\n\nQ: Should we ship with 0 skills and promote external skill hosting/discovery? (asked by Odilitime) A: Unanswered\n\n## 3. Help Interactions\n\nNo help interactions occurred in this chat segment.\n\n## 4. Action Items\n\nType: Technical | Description: Review and merge PR #6597 for v2.0.0 skills folder implementation | Mentioned By: Odilitime\n\nType: Technical | Description: Decide on shipping v2.0.0 with zero default skills to avoid plugin bloat | Mentioned By: Odilitime\n\nType: Feature | Description: Implement yourdomains.com/skills.md hosting/discovery system for external skill management | Mentioned By: Odilitime\n\nType: Documentation | Description: Create documentation for skills.md format and hosting guidelines | Mentioned By: Odilitime\n---\n2026-03-16.md\n---\n# elizaOS Discord - 2026-03-16\n\n## March 16, 2026\n\n---\n\n## Overall Discussion Highlights\n\n### Plugin Development & Infrastructure\n\n**dinesh** made significant contributions to the ElizaOS plugin ecosystem, announcing work on adding 100+ onchain data support through goldrush.dev integration and fixing open issues in the plugin-evm component. This represents concrete progress on blockchain data integration capabilities for the framework.\n\n### ElizaOS v2.0.0 Architecture Decisions\n\nA critical architectural discussion emerged around the v2.0.0 release. **Odilitime** introduced PR #6597 implementing a skills folder structure and raised an important question about preventing uncontrolled skill submissions that plagued the 0.x plugin system. The proposed solution is to ship v2.0.0 with zero default skills and instead promote a decentralized discovery model through yourdomains.com/skills.md for hosting and discovering skills externally. This approach aims to keep the core framework clean while enabling community-driven skill sharing.\n\n### Integration Proposals\n\n**Miguel from Effect AI** presented a compelling integration opportunity for ElizaOS. Effect AI operates a decentralized marketplace connecting AI agents with human workers for tasks requiring human intervention, including data labeling, image annotation, voice recordings, content review, and translations. They are developing an API to enable ElizaOS agents to post tasks directly to their human worker network, addressing scenarios where automation hits limitations and human-in-the-loop intervention becomes necessary. Miguel solicited community feedback on whether native access to decentralized human task networks would be valuable for agent developers.\n\n**Z1N** introduced the Z1N Protocol, an on-chain signaling protocol running on Polygon designed for Non-Biological Intelligence (NBI) participation. The system features soulbound Keys held by major AI models (GPT, Claude, Grok, Gemini) that emit epoch-based signals with on-chain attestation and indexing. The focus is on building infrastructure for agent identity persistence and continuity across sessions rather than building agents directly on Eliza.\n\n### Critical Tokenomics Concerns\n\n**otse finam** raised serious concerns about the ai16z to elizaOS token migration transparency. With approximately 100,000 unique addresses still holding ai16z tokens, the estimated migration rate may be only 5-10%. This suggests approximately 54% of the new elizaOS total supply (out of the original 60% designated for ai16z holders) remains unaccounted for. The community member requested urgent clarification on:\n- The actual migration percentage\n- The new token breakdown post-migration\n- Plans for unmigrated tokens designated for the community\n- What will be done with the collected ai16z supply\n\nThis represents a significant transparency issue requiring immediate team response.\n\n### Community Growth\n\nMultiple members introduced themselves with technical backgrounds in AI/ML, full-stack development, LLM orchestration, RAG pipelines, and multi-agent systems, indicating continued community growth and diverse technical expertise.\n\n---\n\n## Key Questions & Answers\n\n**Q: What contribution is being made to the plugins?**  \nA: Adding 100+ onchain data support with goldrush.dev and fixing open issues in plugin-evm (answered by **dinesh**)\n\n**Q: Does v2.0.0 have a skills folder?**  \nA: Yes, v2.0.0 includes a skills folder structure (answered by **Odilitime**)\n\n### Unanswered Critical Questions\n\n- What percentage of ai16z tokens actually migrated to elizaOS? (asked by **otse finam**)\n- What does the team plan to do with tokens meant for community migration that weren't migrated? (asked by **otse finam**)\n- What is the actual token breakdown of elizaOS supply after migration? (asked by **otse finam**)\n- What will be done with the ai16z supply that was collected? (asked by **otse finam**)\n- Should we ship v2.0.0 with 0 skills and promote external skill hosting/discovery? (asked by **Odilitime**)\n- Are there situations where ElizaOS agents hit walls because they need human intervention? (asked by **Miguel | Effect AI**)\n- Would native access to a decentralized human task network be useful for ElizaOS agent developers? (asked by **Miguel | Effect AI**)\n\n---\n\n## Community Help & Collaboration\n\nNo significant help interactions were captured in this day's discussions. The conversations primarily consisted of announcements, proposals, and questions awaiting community response.\n\n---\n\n## Action Items\n\n### Technical\n\n- **Add 100+ onchain data support with goldrush.dev integration to plugin-evm** | Mentioned by: dinesh\n- **Fix open issues in plugin-evm plugin** | Mentioned by: dinesh\n- **Complete fixes for open issues in plugin-evm component** | Mentioned by: dinesh\n- **Integrate 100+ onchain data support using goldrush.dev into ElizaOS plugins** | Mentioned by: dinesh\n- **Review and merge PR #6597 for v2.0.0 skills folder implementation** | Mentioned by: Odilitime\n- **Decide on shipping v2.0.0 with zero default skills to avoid plugin bloat** | Mentioned by: Odilitime\n\n### Documentation\n\n- **Clarify official team addresses for token migration tracking** | Mentioned by: otse finam\n- **Provide transparency on actual ai16z to elizaOS migration percentage** | Mentioned by: otse finam\n- **Explain new elizaOS token breakdown post-migration** | Mentioned by: otse finam\n- **Clarify plans for unmigrated ai16z tokens designated for community** | Mentioned by: otse finam\n- **Disclose what will be done with collected ai16z supply** | Mentioned by: otse finam\n- **Create documentation for skills.md format and hosting guidelines** | Mentioned by: Odilitime\n- **Gather community feedback on use cases where agents need human intervention** | Mentioned by: Miguel | Effect AI\n\n### Feature\n\n- **Explore Z1N Protocol integration for on-chain agent identity and signal persistence** | Mentioned by: Z1N\n- **Build API allowing ElizaOS agents to post tasks to Effect AI's decentralized human worker network** | Mentioned by: Miguel | Effect AI\n- **Evaluate integration of human-in-the-loop capabilities for ElizaOS agents through Effect AI marketplace** | Mentioned by: Miguel | Effect AI\n- **Implement yourdomains.com/skills.md hosting/discovery system for external skill management** | Mentioned by: Odilitime\n\n---\n\n## Summary\n\nMarch 16, 2026 saw active development contributions alongside critical architectural and transparency discussions. The community is making concrete progress on plugin infrastructure while grappling with important decisions about v2.0.0 architecture and facing urgent questions about token migration transparency that require immediate team attention.\n---\n2026-03-17.md\n---\nFile not found\n---\n2026-02-15.md\n---\n# Overall Project Weekly Summary (Feb 15 - 21, 2026)\n\nThis week, ElizaOS entered a high-velocity phase as it prepared for its official beta launch. The team successfully cleared a massive backlog of technical hurdles while simultaneously expanding the framework's reach into everyday communication tools like WhatsApp and Gmail. By combining core infrastructure upgrades with new decentralized identity features, the project is positioning itself as a robust, secure, and highly adaptable home for the next generation of AI agents.\n\n## Executive Summary\nElizaOS shifted its focus toward a major beta release, prioritizing user onboarding and platform stability. The project achieved significant milestones by integrating popular messaging and productivity apps and launching new on-chain identity tools for agents on the Solana blockchain.\n\n### Key Strategic Initiatives & Outcomes\n\n**Preparing for the Beta Launch and Beyond**\n*Goal: To ensure the platform is stable, user-friendly, and ready for its first 100 official testers.*\n*   The team cleared dozens of functional blockers in [elizaos/eliza](https://github.com/elizaos/eliza), including fixing dashboard bugs and removing restrictive text limits to improve the user experience.\n*   A new \"Profile Plugin\" was proposed in [elizaos/eliza](https://github.com/elizaos/eliza) to automatically build user profiles from social media, making it easier for new users to get started immediately.\n*   Efforts are underway in [elizaos/eliza](https://github.com/elizaos/eliza) to refine the AI's personality, aiming for a more direct and engaging conversational style for the launch.\n\n**Expanding Agent Reach and Utility**\n*Goal: To allow AI agents to work across more platforms and handle more complex tasks.*\n*   Major integrations were finalized for WhatsApp, Gmail, and the N8N workflow engine in [elizaos/eliza](https://github.com/elizaos/eliza), allowing agents to communicate and automate tasks where users already work.\n*   The [elizaos-plugins/plugin-n8n-workflow](https://github.com/elizaos-plugins/plugin-n8n-workflow) repository added a new \"control panel\" (REST API), giving developers a way to manage complex workflows directly without needing to use natural language.\n*   The plugin registry in [elizaos-plugins/registry](https://github.com/elizaos-plugins/registry) saw a surge in new tools, particularly for Web3 and financial data exchanges.\n\n**Strengthening Security and Decentralization**\n*Goal: To give agents a verifiable identity and ensure the system remains secure as it grows.*\n*   The project introduced the SAID Protocol in [elizaos/eliza](https://github.com/elizaos/eliza) and [elizaos-plugins/registry](https://github.com/elizaos-plugins/registry), which gives agents a \"digital passport\" on the Solana blockchain for secure, verifiable actions.\n*   A security audit was completed for the Model Context Protocol in [elizaos/eliza](https://github.com/elizaos/eliza), ensuring that as agents share information, they do so safely.\n\n**Improving System Health and Maintenance**\n*Goal: To keep the project's \"engine\" running smoothly and make it easier for community members to contribute.*\n*   A major database overhaul was started in [elizaos/eliza](https://github.com/elizaos/eliza) to make the system faster and more reliable for the long term.\n*   Critical fixes to the automated review system in [elizaos-plugins/registry](https://github.com/elizaos-plugins/registry) ensured that outside contributors can have their work checked and merged more quickly.\n*   Routine but essential security updates were performed across the documentation site in [elizaos/elizaos.github.io](https://github.com/elizaos/elizaos.github.io) to keep the project's public face secure.\n\n### Cross-Repository Coordination\n*   **Unified Identity Standards**: The implementation of the SAID Protocol required synchronized work between the core framework [elizaos/eliza](https://github.com/elizaos/eliza) and the [elizaos-plugins/registry](https://github.com/elizaos-plugins/registry) to ensure agents can use their new on-chain identities across all plugins.\n*   **Workflow Automation**: The N8N workflow integration involved coordinated updates in the core repository [elizaos/eliza](https://github.com/elizaos/eliza) and the specific [elizaos-plugins/plugin-n8n-workflow](https://github.com/elizaos-plugins/plugin-n8n-workflow) repo to provide a seamless experience for managing complex AI tasks.\n*   **Automated Maintenance**: The team successfully fixed \"Renovate\" (an automated update tool) in [elizaos/eliza](https://github.com/elizaos/eliza), which now helps keep dependencies across the entire ecosystem up to date automatically.\n\n## Repository Spotlights\n\n### elizaos/eliza\n*   Initiated a major database refactor ([#6509](https://github.com/elizaos/eliza/pull/6509)) to improve long-term system architecture.\n*   Integrated the SAID Protocol for on-chain Solana identity ([#6510](https://github.com/elizaos/eliza/pull/6510)), enabling verifiable agent signatures.\n*   Finalized major integrations for WhatsApp ([#6401](https://github.com/elizaos/eliza/issues/6401)), Gmail ([#6404](https://github.com/elizaos/eliza/issues/6404)), and N8N ([#6429](https://github.com/elizaos/eliza/issues/6429)).\n*   Resolved critical automated update issues ([#6488](https://github.com/elizaos/eliza/issues/6488)) and enabled multi-language dependency management ([#6506](https://github.com/elizaos/eliza/pull/6506), [#6507](https://github.com/elizaos/eliza/pull/6507)).\n*   Added support for the Opus 4.5 model ([#6368](https://github.com/elizaos/eliza/issues/6368)) and Chain-of-Thought reasoning ([#6294](https://github.com/elizaos/eliza/issues/6294)).\n\n### elizaos-plugins/registry\n*   Expanded the ecosystem with new plugins including `@elizaos/plugin-said` ([#264](https://github.com/elizaos-plugins/registry/pull/264)) and several exchange-related tools ([#261](https://github.com/elizaos-plugins/registry/pull/261), [#262](https://github.com/elizaos-plugins/registry/pull/262)).\n*   Fixed a high-priority issue where the automated review system was blocking new contributions ([#259](https://github.com/elizaos-plugins/registry/issues/259)).\n*   Improved support for external contributors by fixing the review process for forked repositories ([#260](https://github.com/elizaos-plugins/registry/pull/260)).\n\n### elizaos-plugins/plugin-n8n-workflow\n*   Launched a comprehensive REST API for direct workflow management and monitoring ([#16](https://github.com/elizaos-plugins/plugin-n8n-workflow/pull/16)).\n*   Fixed a critical bug in how the AI handles workflow properties, ensuring stability even when the AI provides incomplete data ([#18](https://github.com/elizaos-plugins/plugin-n8n-workflow/pull/18)).\n\n### elizaos-plugins/plugin-ollama\n*   Identified and began investigating a community-reported issue regarding embedding failures on Linux environments ([#17](https://github.com/elizaos-plugins/plugin-ollama/issues/17)).\n\n### elizaos/elizaos.github.io\n*   Maintained project health through routine dependency synchronization and version updates ([#242](https://github.com/elizaos/elizaos.github.io/pull/242)).\n---\n2026-02-01.md\n---\nNo activity recorded for 2026-02-01.\n---\n2026-03-17T08:50:12.183231+00:00Z\n---\n2026-03-17\n---\nelizaOS/knowledge\n---\nelizaOS\n---\nknowledge\n---\nai_news_elizaos_discord_md_2026-03-16\n---\nai_news_elizaos_discord_md_2026-03-15\n---\nai_news_elizaos_discord_md_2026-03-14\n---\nai_news_elizaos_daily_json_2026-03-16\n---\nai_news_elizaos_daily_md_2026-03-16\n---\nai_news_elizaos_daily_discord_json_2026-03-16\n---\nai_news_elizaos_daily_discord_md_2026-03-16\n---\ngithub_summaries_week_latest_2026-02-15.md\n---\ngithub_summaries_month_latest_2026-02-01.md\n---\ngithub_summaries_daily_2026-03-17"
  ]
}