{
  "prompt_name": "issue-triage",
  "category": "dev",
  "date": "2026-03-26",
  "generated_text": "# Issue Triage \u2014 2026-03-26 (elizaOS)\n\n## 1) Audit & mitigate exposure to `litellm-pypi` supply-chain attack (Tracking)\n- **Issue Title & ID:** Supply-chain risk: `litellm-pypi` compromise \u2014 ecosystem dependency audit (SEC-TRK-2026-03-24)\n- **Current Status:** **Untracked / needs formal GitHub issue** (raised on Discord by DorianD; acknowledged by Odilitime)\n- **Impact Assessment:**\n  - **User Impact:** **Critical** (potentially affects any user/build using impacted dependency paths)\n  - **Functional Impact:** **Partial** (may not break functionality immediately, but compromises integrity/execution)\n  - **Brand Impact:** **High** (security posture and trust)\n- **Technical Classification:**\n  - **Issue Category:** **Security**\n  - **Component Affected:** **Core Framework / Model Integration / Dependency Supply Chain**\n  - **Complexity:** **Moderate effort** (audit + mitigations + release process)\n- **Resource Requirements:**\n  - **Required Expertise:** AppSec, dependency management (npm/pnpm), SBOM generation, CI hardening, incident response\n  - **Dependencies:** Identify whether elizaOS directly or transitively depends on affected packages; confirm versions; ensure lockfiles are authoritative\n  - **Estimated Effort (1-5):** **4**\n- **Recommended Priority:** **P0**\n- **Specific Actionable Next Steps:**\n  1. Create a security tracking issue + private advisory draft (if policy supports) describing scope and actions.\n  2. Inventory direct + transitive dependencies for `litellm*` across core + plugins; record exact versions from lockfiles.\n  3. If impacted: pin to known-good versions, rotate any secrets used in CI/runtime, and publish a security patch release + advisory.\n  4. Add CI checks: dependency diff review gates, lockfile enforcement, basic SCA (Dependabot/Renovate + audit step), and optional provenance verification where available.\n  5. Communicate clearly in Discord + docs: \u201cAre you affected?\u201d guidance and remediation steps.\n- **Potential Assignees:** **Odilitime** (core), **repo maintainers for dependencies/infra**, **DorianD** (report context), plus a designated **security lead** if one exists.\n\n---\n\n## 2) Ollama embeddings failing on Linux\n- **Issue Title & ID:** Embedding failures on Linux environments \u2014 Ollama plugin (#17)  \n  - **Repo:** `elizaos-plugins/plugin-ollama`\n- **Current Status:** **Open / under investigation** (noted in weekly summary; no resolution captured)\n- **Impact Assessment:**\n  - **User Impact:** **High** (Linux is common for self-hosting; embeddings are core for RAG/memory)\n  - **Functional Impact:** **Yes** (blocks embeddings-dependent features: retrieval, long-term memory, semantic search)\n  - **Brand Impact:** **Medium\u2013High** (self-host reliability expectation)\n- **Technical Classification:**\n  - **Issue Category:** **Bug**\n  - **Component Affected:** **Plugin System / Model Integration (Embeddings)**\n  - **Complexity:** **Moderate effort** (env-specific repro + dependency/runtime fixes)\n- **Resource Requirements:**\n  - **Required Expertise:** Linux runtime debugging, Node/TS, Ollama API specifics, networking/HTTP client behavior, binary/arch nuances\n  - **Dependencies:** Requires reliable repro matrix (distros, glibc/musl, container vs bare-metal); may depend on Ollama server version\n  - **Estimated Effort (1-5):** **3**\n- **Recommended Priority:** **P1**\n- **Specific Actionable Next Steps:**\n  1. Define a repro template: OS/distro, kernel, container runtime, Ollama version, model name, plugin version, logs.\n  2. Add an automated integration test (GitHub Actions) for Linux embeddings call (mock if needed, but prefer real via service container).\n  3. Verify request payload/headers and streaming vs non-streaming handling; check timeouts and IPv6/localhost resolution issues.\n  4. Document known-good Ollama versions and required environment variables; ship a patch release once confirmed.\n- **Potential Assignees:** **plugin-ollama maintainers**, **Odilitime** (integration help), Linux-focused community contributors (e.g., **satsbased** for coordination, not necessarily coding).\n\n---\n\n## 3) Security/operations readiness for Builders\u2019 Challenge support load (Nosana \u00d7 ElizaOS)\n- **Issue Title & ID:** Builders\u2019 Challenge readiness: support workflow + incident escalation (OPS-TRK-2026-03-26)\n- **Current Status:** **Untracked / needs GitHub tracking** (workshops scheduled; Denis offered support)\n- **Impact Assessment:**\n  - **User Impact:** **High** (many new builders during challenge)\n  - **Functional Impact:** **Partial** (not a code blocker, but blocks effective onboarding and issue resolution)\n  - **Brand Impact:** **High** (first impressions during a high-visibility partnership)\n- **Technical Classification:**\n  - **Issue Category:** **UX / Documentation / Process**\n  - **Component Affected:** **Developer Experience / Support Operations**\n  - **Complexity:** **Simple fix \u2192 Moderate effort** (mostly coordination + docs + templates)\n- **Resource Requirements:**\n  - **Required Expertise:** DevRel, triage process, Discord moderation/support, documentation\n  - **Dependencies:** Needs clarity on ownership (who fields which category: core vs plugins vs partner infra)\n  - **Estimated Effort (1-5):** **2**\n- **Recommended Priority:** **P1**\n- **Specific Actionable Next Steps:**\n  1. Publish a single \u201cBuilders\u2019 Challenge Support\u201d doc: where to ask, required debug info, response SLAs, escalation path.\n  2. Create GitHub issue templates for: installation problems, plugin bugs, model/provider issues, security concerns.\n  3. Set up a rotating on-call triage owner for workshop days (Mar 26, Apr 2) with a checklist.\n  4. Maintain a pinned Discord thread with known issues + workarounds (update daily during challenge).\n- **Potential Assignees:** **Denis** (program coordination), **Odilitime** (engineering escalation), **satsbased** (community ops), plus one doc maintainer.\n\n---\n\n## 4) Documentation gap: autonomous trading agents \u201cstarter kit\u201d + safety guidance\n- **Issue Title & ID:** Docs: Autonomous trading agents on elizaOS \u2014 reference architecture + guardrails (DOC-TRK-2026-03-25)\n- **Current Status:** **Untracked** (multiple builders asking; no canonical guidance)\n- **Impact Assessment:**\n  - **User Impact:** **Medium\u2013High** (frequent interest; likely to grow with hackathons/challenges)\n  - **Functional Impact:** **Partial** (framework works, but builders lack patterns; risk of unsafe implementations)\n  - **Brand Impact:** **Medium** (perception of maturity for real-world agent use cases)\n- **Technical Classification:**\n  - **Issue Category:** **Documentation / UX**\n  - **Component Affected:** **Core Framework + Plugins (market data, execution), Examples**\n  - **Complexity:** **Moderate effort** (docs + sample project + best practices)\n- **Resource Requirements:**\n  - **Required Expertise:** Agent architecture, risk controls, plugin composition, secrets management, testing/simulation\n  - **Dependencies:** Decide whether to recommend specific data sources (e.g., Pythia MCP, CoinGecko) and execution interfaces; ensure disclaimers\n  - **Estimated Effort (1-5):** **3**\n- **Recommended Priority:** **P2**\n- **Specific Actionable Next Steps:**\n  1. Create an \u201cAutonomous Trading Agent\u201d example with: paper trading mode, deterministic configs, logging, and backtest harness hooks.\n  2. Add a guardrails section: position sizing, max loss/day, kill switch, rate limits, audit logs, secrets isolation.\n  3. Provide integration notes for market data (including on-chain oracle option) and memory usage patterns.\n  4. Curate community implementations for review (Ape Ape setup; sailorpepe.eth approach) and extract reusable patterns.\n- **Potential Assignees:** **gelgit.eth** (review builder setups), **Ivan Jeremic** (data/oracle integration guidance), **Denis** (builder coordination), experienced plugin maintainers.\n\n---\n\n## 5) Clarify token/app support confusion (Milady app: bas Milady vs SOL milady.ai)\n- **Issue Title & ID:** Docs/FAQ: Relationship between bas Milady and SOL milady.ai + app support matrix (DOC-TRK-2026-03-25-MLDY)\n- **Current Status:** **Unanswered in Discord / untracked**\n- **Impact Assessment:**\n  - **User Impact:** **Medium** (recurring user confusion; likely many observers)\n  - **Functional Impact:** **No** (not a framework blocker)\n  - **Brand Impact:** **High** (public confusion around \u201cofficial support\u201d and expectations)\n- **Technical Classification:**\n  - **Issue Category:** **Documentation / UX**\n  - **Component Affected:** **App Docs / Public Comms**\n  - **Complexity:** **Simple fix**\n- **Resource Requirements:**\n  - **Required Expertise:** Product communication, release/status messaging, basic technical verification of supported networks/tokens\n  - **Dependencies:** Requires authoritative confirmation from the team on what is supported and what is not\n  - **Estimated Effort (1-5):** **1**\n- **Recommended Priority:** **P2**\n- **Specific Actionable Next Steps:**\n  1. Add a pinned FAQ entry: supported tokens/networks; what is official vs community; how support will be announced.\n  2. Add an in-app (or landing page) \u201cSupport Status\u201d section with last-updated timestamp.\n  3. Define who can speak \u201cofficially\u201d to reduce contradictory answers.\n- **Potential Assignees:** **Odilitime** (authoritative technical/product confirmation), a designated **comms/docs maintainer**, **satsbased** (community pinning/policy).\n\n---\n\n## 6) Optional/near-term: Provide an official plugin path for oracle-based market indicators (Pythia MCP)\n- **Issue Title & ID:** Plugin/Integration: Pythia MCP server connector + example agent (FEAT-TRK-2026-03-24-PYTHIA)\n- **Current Status:** **Available externally; integration guidance offered** (Ivan Jeremic)\n- **Impact Assessment:**\n  - **User Impact:** **Medium** (high relevance for DeFi agents; reduces API-key friction)\n  - **Functional Impact:** **Partial** (enables better market context; not required for base operation)\n  - **Brand Impact:** **Medium** (shows robust DeFi readiness)\n- **Technical Classification:**\n  - **Issue Category:** **Feature Request / Documentation**\n  - **Component Affected:** **Plugin System / Model Context Protocol tooling**\n  - **Complexity:** **Moderate effort**\n- **Resource Requirements:**\n  - **Required Expertise:** MCP integration, TypeScript, data validation, caching, rate limiting, oracle semantics\n  - **Dependencies:** Decide plugin registry acceptance criteria; security review for data provenance claims\n  - **Estimated Effort (1-5):** **3**\n- **Recommended Priority:** **P3**\n- **Specific Actionable Next Steps:**\n  1. Create a minimal official example: \u201coracle-indicators agent\u201d using Pythia MCP.\n  2. Add caching + timeframe selection patterns; document failure modes (stale oracle data, chain outages).\n  3. Consider publishing a plugin wrapper in `elizaos-plugins/registry` if it meets maintenance/support expectations.\n- **Potential Assignees:** **Ivan Jeremic** (author), a **plugin registry maintainer**, **gelgit.eth** (review), core maintainers for standards.\n\n---\n\n# Top Priority Summary (fix/act immediately)\n1. **P0:** Supply-chain risk tracking + mitigation for `litellm-pypi` compromise (SEC-TRK-2026-03-24)  \n2. **P1:** Fix/repro **Linux embedding failures** in `plugin-ollama` (#17)  \n3. **P1:** Builders\u2019 Challenge operational readiness: support workflow + escalation (OPS-TRK-2026-03-26)  \n4. **P2:** Docs: Autonomous trading agent starter kit + guardrails (DOC-TRK-2026-03-25)  \n5. **P2:** Docs/FAQ: Milady token/app support clarification (DOC-TRK-2026-03-25-MLDY)  \n6. **P3:** Optional: official connector/example for Pythia MCP oracle indicators (FEAT-TRK-2026-03-24-PYTHIA)\n\n# Patterns / Themes Indicating Deeper Issues\n- **Security posture needs codification:** Security concerns are being surfaced socially (Discord) but not consistently converted into trackable, auditable work items (issues/advisories, release notes).\n- **Self-host reliability gaps cluster around model/embedding integrations:** Linux-specific failures suggest insufficient CI coverage for common deployment targets and model-provider permutations.\n- **High builder interest in trading/DeFi but limited canonical guidance:** Repeated questions indicate missing reference architectures, safety patterns, and vetted examples.\n\n# Process Improvement Recommendations\n1. **Create a \u201cDiscord \u2192 GitHub\u201d triage pipeline:** a lightweight rule that any security concern or widely-asked question becomes a tracking issue within 24 hours, with an owner and next action.\n2. **Add CI coverage for top self-host matrices:** at minimum Linux containers for key plugins (Ollama embeddings, MCP tools), plus smoke tests that validate embeddings and basic memory workflows.\n3. **Publish an \u201cOfficial Statements\u201d policy + FAQ ownership:** clearly identify who can answer product/token support questions and where the canonical answers live (pinned FAQ + docs site).\n4. **Standardize incident communications:** security advisories, affected versions, remediation steps, and a postmortem template to protect user trust.",
  "source_references": [
    "2026-03-26\n---\n2026-03-25.md\n---\n# elizaOS Discord - 2026-03-25\n\n## Summary\n\n### Autonomous Trading Agents on ElizaOS\n\nThe primary technical focus across channels was the development of autonomous AI trading agents using the ElizaOS framework. Ape Ape | KairoGuard initiated discussions seeking feedback on autonomous trading agent implementations and exploring collaboration opportunities with other builders. Denis recommended monitoring an upcoming hackathon as an opportunity to test and refine trading agent setups.\n\n### NFT-Based AI Agent System with Personality Mapping\n\nsailorpepe.eth presented a comprehensive AI agent system built for an NFT collection featuring 4,444 unique AI agent workspaces. The implementation uses a deterministic mapping system where NFT visual traits generate personalities across 7 dimensions, including Big Five personality traits plus trading scores. The technical architecture includes ElizaOS V1 specification compatibility with YAML frontmatter and character.json export functionality, a 3-tier MemGPT-style memory architecture, and a live market data pipeline integrating real-time data from CoinGecko, DeFiLlama, and DexScreener APIs directly into agent sessions. The project includes a soul viewer interface and downloadable workspaces.\n\n### Token and Platform Clarification\n\nMartin raised questions about the relationship between base Milady and SOL milady.ai tokens and their support in the Milady app, but received no response. Some casual discussion about token performance occurred with references to gold pumping and SOL tokens.\n\n### Community Onboarding\n\nMultiple new members joined the channels with introductions and greetings. satsbased provided general onboarding encouragement, welcoming new members and directing them to build with elizaos.\n\n## FAQ\n\n**Q: Are you new on here?**\nA: Yes, you are also new here (answered by Mr.Grayson)\n\n**Q: Anyone here built any ai agents that are trading autonomously?**\nA: Unanswered\n\n**Q: What is the relationship between bas milady and sol milady.ai? Does the milady app support both of them?**\nA: Unanswered\n\n**Q: I'm building/exploring autonomous trading agents on ElizaOS. Would love to chat with builders or get feedback on my setup?**\nA: Denis suggested keeping an eye on the hackathon launching that day as a good chance to try them out; gelgit.eth requested to see the setup\n\n## Help Interactions\n\nHelper: satsbased | Helpee: New members | Context: General onboarding and orientation | Resolution: Welcomed new people and directed them to build with elizaos\n\nHelper: Denis | Helpee: Ape Ape | KairoGuard | Context: Seeking feedback on autonomous trading agents built on ElizaOS | Resolution: Suggested participating in upcoming hackathon to test and get feedback on the setup\n\nHelper: gelgit.eth | Helpee: Ape Ape | KairoGuard | Context: Requested to review autonomous trading agent setup | Resolution: Offered to review the setup (outcome not shown in transcript)\n\n## Action Items\n\n### Technical\n\nSet up autonomous AI trading agents using Eliza framework (mentioned by Ape Ape | KairoGuard)\n\n4,444 AI agent workspaces with ElizaOS V1 compatibility, 3-tier MemGPT-style memory system, and live market data pipeline integration seeking community feedback (mentioned by sailorpepe.eth)\n\n### Features\n\nAutonomous trading agents on ElizaOS requiring feedback and builder collaboration (mentioned by Ape Ape | KairoGuard)\n\n### Documentation\n\nClarify relationship between base Milady and SOL milady.ai tokens and their support in Milady app (mentioned by Martin)\n\nReview and provide feedback on NFT-based AI agent personality mapping system with 7-dimensional traits (mentioned by sailorpepe.eth)\n---\n2026-03-24.md\n---\n# elizaOS Discord - 2026-03-24\n\n## Summary\n\n### Partnership Announcements\n\nDenis, representing Nosana's ecosystem and community, announced a partnership between Nosana and ElizaOS for the Nosana Builders' Challenge launching on March 25. The initiative includes two workshops scheduled for March 26 and April 2 to help builders develop AI agents efficiently. Denis offered direct support for participants encountering issues during the challenge.\n\n### On-Chain Data Infrastructure\n\nIvan Jeremic released the Pythia MCP server, a tool enabling AI agents to query live on-chain market indicators directly from blockchain oracles. The implementation uses Chainlink oracles on Polygon to provide verifiable on-chain data for 13 tokens across 4 timeframes. The system includes technical indicators like EMA, RSI, VWAP, Bollinger Bands, and volatility metrics. The key advantage is eliminating the need for API keys or off-chain data pipelines, making it useful for DeFi agent operations requiring market context.\n\n### Security Concerns\n\nDorianD raised awareness about a supply chain attack on litellm-pypi, which Odilitime acknowledged. This represents an important security consideration for the community regarding dependency management.\n\n### Market Sentiment\n\nCommunity members discussed the Eliza token's price performance. Gby analyzed a recurring pattern of drops followed by 20-30% pumps before dumping to new all-time lows. Ame expressed pessimistic sentiment about the token's future performance.\n\n### Business Development\n\nCoin Post inquired about collaboration opportunities with Eliza OS. Odilitime clarified that gelgit.eth does not officially represent the project after gelgit.eth initially responded to the inquiry.\n\n## FAQ\n\n**Q: Will milady join this?**\nA: Unanswered\n\n**Q: Who should I contact to discuss collaboration with Eliza OS?**\nA: Odilitime clarified that gelgit.eth does not represent the project\n\n**Q: How can AI agents query on-chain market indicators without API keys?**\nA: Use the Pythia MCP server via pip install pythia-oracle-mcp, which queries Chainlink oracles on Polygon\n\n## Help Interactions\n\nDenis offered support to the community for the Nosana Builders' Challenge, announcing availability to help anyone who gets stuck, with workshops scheduled for March 26 and April 2.\n\nIvan Jeremic provided the community with a solution for AI agents to access on-chain market data without API dependencies by releasing the Pythia MCP server with free testnet and offering integration assistance.\n\nDorianD alerted the community about security awareness regarding supply chain vulnerabilities by sharing information about the litellm-pypi supply chain attack.\n\n## Action Items\n\n### Technical\n\nEvaluate security implications of litellm-pypi supply chain attack for project dependencies (mentioned by DorianD)\n\n### Features\n\nNosana Builders' Challenge launching with ElizaOS partnership (mentioned by Denis)\n\nPythia MCP server available for integration - provides on-chain market indicators via Chainlink oracles on Polygon (mentioned by Ivan Jeremic)\n\n### Documentation\n\nWorkshops on March 26 and April 2 for building AI agents efficiently (mentioned by Denis)\n---\n2026-03-23.md\n---\n# elizaOS Discord - 2026-03-23\n\n## Summary\n\n### Multi-Agent Trading System Development\n\nNaman is building a multi-agent autonomous trading system powered by a 200-500B parameter local LLM model for 24/7 cryptocurrency trading. The project seeks an AI/ML technical partner for model optimization, fine-tuning, and performance monitoring in exchange for 10% profit sharing.\n\n### Milady App Development Status\n\nThe milady app remains in active development with the team working through the weekend. Odilitime directly participated in development efforts. No specific release date has been set, with the launch planned for when the application is ready. Multiple community members inquired about the release timeline.\n\n### Token Price Concerns and Community Guidance\n\nCommunity members expressed concerns about significant token price decline from $2.5 to $0.0009. Rainman provided guidance recommending members follow official team updates and noted that 2026 is expected to be a significant year for agentic AI development. The community was advised to hold at current price levels.\n\n### Business Development Outreach\n\nBitMart's listing team reached out seeking business cooperation discussions with core team members. No technical implementation details or concrete decisions were documented regarding this potential partnership.\n\n## FAQ\n\n**Q: When will the milady app be online?**\nA: The app will launch when it's ready. The team worked on it over the weekend with direct involvement from Odilitime, but no specific release date is available yet.\n\n**Q: Do you need chatters to make the group active?**\nA: Not really.\n\n## Help Interactions\n\nHelper: Rainman | Helpee: Community | Context: Community concerns about token price decline from $2.5 to $0.0009 and project viability | Resolution: Advised following official team updates, noted 2026 as the year of agentic AI, recommended holding at current prices.\n\nHelper: Odilitime | Helpee: miaozi | Context: Questions about milady app release timeline | Resolution: Provided transparency that the team worked on it over the weekend with his direct involvement but no specific date is available.\n\n## Action Items\n\n### Technical\n\nMulti-agent autonomous trading system with 200-500B parameter LLM seeking AI/ML partner for deployment optimization, fine-tuning, and performance monitoring (mentioned by naman)\n\n### Features\n\nComplete and launch milady app currently in development with team working through weekend (mentioned by Odilitime)\n---\n2026-03-25.json\n---\nelizaosDailySummary\n---\nDaily Report - 2026-03-25\n---\nElizaOS Community Discussion and AI Agent Development\n---\nIn the general discussion channel, several new members introduced themselves and exchanged greetings. A brief conversation touched on the existence of a token for Eliza, with one user expressing surprise about it. A question was raised about the relationship between bas milady and sol milady.ai and whether the milady app supports both, with one user hoping it supports the SOL version and another hinting at bad news. A community member welcomed new users and encouraged them to build with ElizaOS.\n---\nhttps://discord.com/channels/1253563208833433701/1253563209462448241\n---\nhttps://cdn.elizaos.news/posters/1774487652469-bwaj4j.png\n---\nIn the coders channel, a developer named Ape Ape expressed interest in building and exploring autonomous trading agents on ElizaOS and sought feedback from other builders. Community members encouraged them to share their setup and noted that a hackathon launching that day would be a good opportunity to test such agents. Another developer shared a project called The Undesirables, a collection of 4,444 NFTs on Ethereum where each NFT's visual traits deterministically map to a unique personality across 7 dimensions based on the Big Five personality model plus trading scores. Each NFT workspace ships with ElizaOS V1 spec compatibility including YAML frontmatter and character.json export. The project also features a 3-tier MemGPT-style memory system and a live market data pipeline that injects real-time data from CoinGecko, DeFiLlama, and DexScreener into agent sessions. The developer invited feedback from others building in the space. A separate message in the channel appeared to be a promotional investment solicitation unrelated to the technical discussion.\n---\nhttps://discord.com/channels/1253563208833433701/1300025221834739744\n---\nhttps://the-undesirables.com/og-image.png\n---\nhttps://cdn.discordapp.com/attachments/1300025221834739744/1486395520854261770/agent_promo_v2_enhanced.mp4?ex=69c55934&is=69c407b4&hm=b6f35eeba802a7c7da72117bbdec7baa76a9edc774fed178750f9f59c60d0f13&\n---\ndiscordrawdata\n---\n1452610445444907120\n---\nluna234m\n---\nTrader\n---\nVerified\n---\nutility\n---\nCoder\n---\neliza\n---\n920440808509931560\n---\nthegreatluna8713\n---\nVerified\n---\nCoder\n---\nutility\n---\neliza\n---\n1115773719021891719\n---\njr.2250\n---\nHelper\n---\na-hack\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nIt\n---\nVerified\n---\nDev School Student\n---\nBooster\n---\nDesigner\n---\nFr\n---\nutility\n---\nCoder\n---\neliza\n---\n1242856791189094492\n---\nsheldonb1_40970\n---\nVerified\n---\nCoder\n---\nutility\n---\neliza\n---\n700227417859555368\n---\ngtham4769\n---\nCoder\n---\nVerified\n---\nPoker\n---\n769162375328563261\n---\napeape.sui\n---\nCreator\n---\nutility\n---\nCoder\n---\neliza\n---\n313989482221273088\n---\ndenis255\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nVerified\n---\nutility\n---\nCoder\n---\neliza\n---\n245981634187231232\n---\naccountshark\n---\nVerified\n---\n900467006002835469\n---\ngmo6940\n---\nTrader\n---\nVerified\n---\n1184466248520699967\n---\nsatsbased\n---\nServer Booster\n---\nMini Mod\n---\nVIP\n---\nContributor\n---\nVerified\n---\nutility\n---\n1216999763573211189\n---\nmartin_net6\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nVerified\n---\nDesigner\n---\nutility\n---\nCoder\n---\neliza\n---\n798717256509947904\n---\nisabellad4540\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nDesigner\n---\nutility\n---\nCoder\n---\neliza\n---\n725156749895532614\n---\nmarcelobernardes0327\n---\nTrader\n---\nIt\n---\nVerified\n---\nFr\n---\nutility\n---\neliza\n---\n1422240545660600562\n---\n33.coded\n---\nTrader\n---\n[WG] degenspartan\n---\nIt\n---\nutility\n---\nCoder\n---\neliza\n---\n847591789795868733\n---\ndutchiono\n---\nHelper\n---\nTrader\n---\n[WG] degenspartan\n---\nVerified\n---\nutility\n---\nCoder\n---\neliza\n---\n1460247201732362240\n---\nshendezhufu\n---\nVerified\n---\nCoder\n---\nutility\n---\neliza\n---\n1436138035984203816\n---\nbettina04385_27038\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nIt\n---\nVerified\n---\nDesigner\n---\nFr\n---\nutility\n---\nCoder\n---\neliza\n---\n765038611426050059\n---\ncrypto_kingjay\n---\nTrader\n---\nutility\n---\nCoder\n---\neliza\n---\n962110826641256548\n---\ngreatness_136\n---\nHelper\n---\nTrader\n---\nIt\n---\nVerified\n---\nDesigner\n---\nFr\n---\nutility\n---\nCoder\n---\neliza\n---\n1474267656327528538\n---\njamesson101\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nIt\n---\nVerified\n---\nDesigner\n---\nFr\n---\nutility\n---\nCoder\n---\neliza\n---\n2026-03-25.md\n---\n## ElizaOS Community Discussion and AI Agent Development\n\n### General Channel Activity\n\n- New members introduced themselves and exchanged greetings\n- Discussion touched on the existence of a token for Eliza\n- Questions raised about the relationship between bas milady and sol milady.ai and milady app support\n- Community members welcomed new users and encouraged building with ElizaOS\n\n### Coders Channel Activity\n\n- Developer Ape Ape expressed interest in building autonomous trading agents on ElizaOS and sought community feedback\n- Community members encouraged sharing setups and noted a hackathon launching that day as an opportunity to test trading agents\n\n### The Undesirables Project\n\n- A collection of 4,444 NFTs on Ethereum where each NFT's visual traits deterministically map to a unique personality across 7 dimensions\n- Personality model based on the Big Five personality framework plus trading scores\n- Each NFT workspace ships with ElizaOS V1 spec compatibility including YAML frontmatter and character.json export\n- Features a 3-tier MemGPT-style memory system\n- Includes a live market data pipeline injecting real-time data from CoinGecko, DeFiLlama, and DexScreener into agent sessions\n- Developer invited feedback from others building in the space\n---\n2026-03-25.json\n---\nelizaOS\n---\nelizaOS Discord - 2026-03-25\n---\n1253563209462448241\n---\n\ud83d\udcac-discussion\n---\n# Discord Channel Analysis: \ud83d\udcac-discussion\n\n## 1. Summary\n\nThis chat segment shows primarily social introductions with minimal technical content. The most significant technical discussion involved Ape Ape asking about building autonomous AI trading agents using the Eliza framework. Martin raised a question about the relationship between base Milady and SOL milady.ai tokens and their support in the Milady app. satsbased provided a brief welcome message encouraging new members to build with elizaos. The conversation was dominated by casual greetings and introductions from new members (sailorpepe.eth, Mr.Grayson, JAMES) with no concrete technical solutions or implementations discussed. One user (33coded) mentioned gold pumping, and g expressed hope about \"the SOL one\" in what appears to be a token-related context. Overall, the segment lacks substantial technical depth, problem-solving discussions, or actionable development content.\n\n## 2. FAQ\n\nQ: Are you new on here? (asked by JAMES) A: Yes, you are also new here (answered by Mr.Grayson)\nQ: Anyone here built any ai agents that are trading autonomously? (asked by Ape Ape | KairoGuard \ud83d\udc37 \ud83d\udfe0) A: Unanswered\nQ: What is the relationship between bas milady and sol milady.ai? Does the milady app support both of them? (asked by Martin \u5948\u7279\uff08\u7834\u4ea7\u7248\uff09) A: Unanswered\n\n## 3. Help Interactions\n\nHelper: satsbased | Helpee: New members | Context: General onboarding and orientation | Resolution: Welcomed new people and directed them to build with elizaos\n\n## 4. Action Items\n\nType: Technical | Description: Set up autonomous AI trading agents using Eliza framework | Mentioned By: Ape Ape | KairoGuard \ud83d\udc37 \ud83d\udfe0\nType: Documentation | Description: Clarify relationship between base Milady and SOL milady.ai tokens and their support in Milady app | Mentioned By: Martin \u5948\u7279\uff08\u7834\u4ea7\u7248\uff09\n---\n1300025221834739744\n---\n\ud83d\udcac-coders\n---\n# Discord Channel Analysis: \ud83d\udcac-coders\n\n## 1. Summary\n\nThe channel discussion centered on autonomous trading agents built with ElizaOS framework. Ape Ape | KairoGuard initiated conversation seeking feedback on autonomous trading agent implementations. Denis suggested monitoring an upcoming hackathon as an opportunity to test trading agent setups.\n\nThe most substantial technical contribution came from sailorpepe.eth, who presented a comprehensive AI agent system built for an NFT collection. Their implementation includes 4,444 unique AI agent workspaces where NFT visual traits deterministically generate personalities across 7 dimensions (Big Five personality traits plus trading scores). The system features ElizaOS V1 specification compatibility with YAML frontmatter and character.json export functionality. They implemented a 3-tier MemGPT-style memory architecture and developed a live market data pipeline integrating real-time data from CoinGecko, DeFiLlama, and DexScreener APIs directly into agent sessions. The project includes a soul viewer interface and downloadable workspaces available at their website.\n\nThe technical stack demonstrates integration of personality modeling, memory management, and real-time financial data streaming for autonomous trading agents. The deterministic mapping from visual traits to personality dimensions represents a novel approach to agent configuration. No specific feedback or technical discussion followed these presentations within the captured timeframe.\n\n## 2. FAQ\n\nQ: I'm building/exploring autonomous trading agents on ElizaOS. Would love to chat with builders or get feedback on my setup? (asked by Ape Ape | KairoGuard \ud83d\udc37 \ud83d\udfe0) A: Denis suggested keeping an eye on the hackathon launching that day as a good chance to try them out; gelgit.eth requested to see the setup (answered by Denis, gelgit.eth)\n\n## 3. Help Interactions\n\nHelper: Denis | Helpee: Ape Ape | KairoGuard \ud83d\udc37 \ud83d\udfe0 | Context: Seeking feedback on autonomous trading agents built on ElizaOS | Resolution: Suggested participating in upcoming hackathon to test and get feedback on the setup\n\nHelper: gelgit.eth | Helpee: Ape Ape | KairoGuard \ud83d\udc37 \ud83d\udfe0 | Context: Requested to review autonomous trading agent setup | Resolution: Offered to review the setup (outcome not shown in transcript)\n\n## 4. Action Items\n\nType: Feature | Description: Autonomous trading agents on ElizaOS requiring feedback and builder collaboration | Mentioned By: Ape Ape | KairoGuard \ud83d\udc37 \ud83d\udfe0\n\nType: Technical | Description: 4,444 AI agent workspaces with ElizaOS V1 compatibility, 3-tier MemGPT-style memory system, and live market data pipeline integration seeking community feedback | Mentioned By: sailorpepe.eth\n\nType: Documentation | Description: Review and provide feedback on NFT-based AI agent personality mapping system with 7-dimensional traits | Mentioned By: sailorpepe.eth\n---\n1452610445444907120\n---\nluna234m\n---\nTrader\n---\nVerified\n---\nutility\n---\nCoder\n---\neliza\n---\n920440808509931560\n---\nthegreatluna8713\n---\nVerified\n---\nCoder\n---\nutility\n---\neliza\n---\n1115773719021891719\n---\njr.2250\n---\nHelper\n---\na-hack\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nIt\n---\nVerified\n---\nDev School Student\n---\nBooster\n---\nDesigner\n---\nFr\n---\nutility\n---\nCoder\n---\neliza\n---\n1242856791189094492\n---\nsheldonb1_40970\n---\nVerified\n---\nCoder\n---\nutility\n---\neliza\n---\n700227417859555368\n---\ngtham4769\n---\nCoder\n---\nVerified\n---\nPoker\n---\n769162375328563261\n---\napeape.sui\n---\nCreator\n---\nutility\n---\nCoder\n---\neliza\n---\n313989482221273088\n---\ndenis255\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nVerified\n---\nutility\n---\nCoder\n---\neliza\n---\n245981634187231232\n---\naccountshark\n---\nVerified\n---\n900467006002835469\n---\ngmo6940\n---\nTrader\n---\nVerified\n---\n1184466248520699967\n---\nsatsbased\n---\nServer Booster\n---\nMini Mod\n---\nVIP\n---\nContributor\n---\nVerified\n---\nutility\n---\n1216999763573211189\n---\nmartin_net6\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nVerified\n---\nDesigner\n---\nutility\n---\nCoder\n---\neliza\n---\n798717256509947904\n---\nisabellad4540\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nDesigner\n---\nutility\n---\nCoder\n---\neliza\n---\n725156749895532614\n---\nmarcelobernardes0327\n---\nTrader\n---\nIt\n---\nVerified\n---\nFr\n---\nutility\n---\neliza\n---\n1422240545660600562\n---\n33.coded\n---\nTrader\n---\n[WG] degenspartan\n---\nIt\n---\nutility\n---\nCoder\n---\neliza\n---\n847591789795868733\n---\ndutchiono\n---\nHelper\n---\nTrader\n---\n[WG] degenspartan\n---\nVerified\n---\nutility\n---\nCoder\n---\neliza\n---\n1460247201732362240\n---\nshendezhufu\n---\nVerified\n---\nCoder\n---\nutility\n---\neliza\n---\n1436138035984203816\n---\nbettina04385_27038\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nIt\n---\nVerified\n---\nDesigner\n---\nFr\n---\nutility\n---\nCoder\n---\neliza\n---\n765038611426050059\n---\ncrypto_kingjay\n---\nTrader\n---\nutility\n---\nCoder\n---\neliza\n---\n962110826641256548\n---\ngreatness_136\n---\nHelper\n---\nTrader\n---\nIt\n---\nVerified\n---\nDesigner\n---\nFr\n---\nutility\n---\nCoder\n---\neliza\n---\n1474267656327528538\n---\njamesson101\n---\nHelper\n---\nTrader\n---\nCreator\n---\n[WG] degenspartan\n---\nIt\n---\nVerified\n---\nDesigner\n---\nFr\n---\nutility\n---\nCoder\n---\neliza\n---\n2026-03-25.md\n---\n# elizaOS Discord - 2026-03-25\n\n## Summary\n\n### Autonomous Trading Agents on ElizaOS\n\nThe primary technical focus across channels was the development of autonomous AI trading agents using the ElizaOS framework. Ape Ape | KairoGuard initiated discussions seeking feedback on autonomous trading agent implementations and exploring collaboration opportunities with other builders. Denis recommended monitoring an upcoming hackathon as an opportunity to test and refine trading agent setups.\n\n### NFT-Based AI Agent System with Personality Mapping\n\nsailorpepe.eth presented a comprehensive AI agent system built for an NFT collection featuring 4,444 unique AI agent workspaces. The implementation uses a deterministic mapping system where NFT visual traits generate personalities across 7 dimensions, including Big Five personality traits plus trading scores. The technical architecture includes ElizaOS V1 specification compatibility with YAML frontmatter and character.json export functionality, a 3-tier MemGPT-style memory architecture, and a live market data pipeline integrating real-time data from CoinGecko, DeFiLlama, and DexScreener APIs directly into agent sessions. The project includes a soul viewer interface and downloadable workspaces.\n\n### Token and Platform Clarification\n\nMartin raised questions about the relationship between base Milady and SOL milady.ai tokens and their support in the Milady app, but received no response. Some casual discussion about token performance occurred with references to gold pumping and SOL tokens.\n\n### Community Onboarding\n\nMultiple new members joined the channels with introductions and greetings. satsbased provided general onboarding encouragement, welcoming new members and directing them to build with elizaos.\n\n## FAQ\n\n**Q: Are you new on here?**\nA: Yes, you are also new here (answered by Mr.Grayson)\n\n**Q: Anyone here built any ai agents that are trading autonomously?**\nA: Unanswered\n\n**Q: What is the relationship between bas milady and sol milady.ai? Does the milady app support both of them?**\nA: Unanswered\n\n**Q: I'm building/exploring autonomous trading agents on ElizaOS. Would love to chat with builders or get feedback on my setup?**\nA: Denis suggested keeping an eye on the hackathon launching that day as a good chance to try them out; gelgit.eth requested to see the setup\n\n## Help Interactions\n\nHelper: satsbased | Helpee: New members | Context: General onboarding and orientation | Resolution: Welcomed new people and directed them to build with elizaos\n\nHelper: Denis | Helpee: Ape Ape | KairoGuard | Context: Seeking feedback on autonomous trading agents built on ElizaOS | Resolution: Suggested participating in upcoming hackathon to test and get feedback on the setup\n\nHelper: gelgit.eth | Helpee: Ape Ape | KairoGuard | Context: Requested to review autonomous trading agent setup | Resolution: Offered to review the setup (outcome not shown in transcript)\n\n## Action Items\n\n### Technical\n\nSet up autonomous AI trading agents using Eliza framework (mentioned by Ape Ape | KairoGuard)\n\n4,444 AI agent workspaces with ElizaOS V1 compatibility, 3-tier MemGPT-style memory system, and live market data pipeline integration seeking community feedback (mentioned by sailorpepe.eth)\n\n### Features\n\nAutonomous trading agents on ElizaOS requiring feedback and builder collaboration (mentioned by Ape Ape | KairoGuard)\n\n### Documentation\n\nClarify relationship between base Milady and SOL milady.ai tokens and their support in Milady app (mentioned by Martin)\n\nReview and provide feedback on NFT-based AI agent personality mapping system with 7-dimensional traits (mentioned by sailorpepe.eth)\n---\n2026-03-26.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---\n2026-03-26T08:50:21.501519+00:00Z\n---\n2026-03-26\n---\nelizaOS/knowledge\n---\nelizaOS\n---\nknowledge\n---\nai_news_elizaos_discord_md_2026-03-25\n---\nai_news_elizaos_discord_md_2026-03-24\n---\nai_news_elizaos_discord_md_2026-03-23\n---\nai_news_elizaos_daily_json_2026-03-25\n---\nai_news_elizaos_daily_md_2026-03-25\n---\nai_news_elizaos_daily_discord_json_2026-03-25\n---\nai_news_elizaos_daily_discord_md_2026-03-25\n---\ngithub_summaries_week_latest_2026-02-15.md\n---\ngithub_summaries_month_latest_2026-02-01.md\n---\ngithub_summaries_daily_2026-03-26"
  ]
}