{
  "prompt_name": "user-feedback",
  "category": "comms",
  "date": "2026-03-26",
  "generated_text": "## User Feedback Analysis \u2014 2026-03-26 (elizaOS)\n\n### Data Sources Reviewed\n- Discord summaries (2026-03-23 to 2026-03-25): \ud83d\udcac-discussion, \ud83d\udcac-coders\n- Project context from latest available GitHub weekly summary (Feb 15\u201321, 2026) referenced in knowledge base (for comparative implementation examples)\n\n---\n\n## 1) Pain Point Categorization (Top recurring issues)\n\n> Note: The dataset is Discord-heavy and skewed toward crypto/trading builders. Quantification is based on the small set of explicit questions and repeated themes.\n\n### 1. Documentation \u2014 Unanswered \u201cbasic clarity\u201d questions (High frequency, high severity)\n**What users are experiencing**\n- Token/platform confusion: \u201crelationship between bas milady and sol milady.ai\u201d and whether the Milady app supports both (explicitly asked, **unanswered**).\n- Hackathon/workshop context mentioned but not linked as canonical onboarding steps (users told \u201cwatch the hackathon,\u201d but no structured \u201cdo X, then Y\u201d path).\n\n**Evidence**\n- Of the 3 FAQ-style questions captured on 2026-03-25, **2/3 (67%) were unanswered**, both being \u201cclarity\u201d questions (token/app support; \u201canyone built trading agents?\u201d).\n\n**Primary impact**\n- Newcomers stall immediately; conversation drifts into speculation rather than building.\n\n---\n\n### 2. Community \u2014 Support routing & response reliability (High frequency, medium-high severity)\n**What users are experiencing**\n- Builders ask for feedback/collaboration (autonomous trading agents) and get partial direction (\u201cjoin hackathon\u201d) but limited concrete review, code pointers, or \u201cwho to ask.\u201d\n- Business/partnership inquiries reveal confusion about official representatives (Odilitime clarifying that a responder does not represent the project).\n\n**Evidence**\n- \u201cAnyone here built any ai agents that are trading autonomously?\u201d (unanswered).\n- \u201cWho should I contact to discuss collaboration with Eliza OS?\u201d \u2192 clarification required about representation.\n\n**Primary impact**\n- Perception that support is ad-hoc; slows down serious adopters and external partners.\n\n---\n\n### 3. Technical Functionality \u2014 Lack of reference implementations for autonomous trading agents (Medium frequency, high severity)\n**What users are experiencing**\n- Multiple users are building trading agents (single-agent, multi-agent, NFT-personality agents), but they\u2019re improvising architecture: memory layers, market data ingestion, safety controls, and evaluation.\n\n**Evidence**\n- Ape Ape | KairoGuard seeking setup feedback and collaboration.\n- Naman building 24/7 multi-agent trading with a 200\u2013500B local model (needs optimization/monitoring partner).\n- sailorpepe.eth built a full stack (MemGPT-style memory + live market APIs + personality mapping) and is explicitly \u201cseeking feedback,\u201d implying lack of standard patterns.\n\n**Primary impact**\n- Repeated reinvention; higher risk of unsafe/fragile trading deployments.\n\n---\n\n### 4. Integration \u2014 Market data pipelines and oracle-based alternatives are fragmented (Medium frequency, medium severity)\n**What users are experiencing**\n- Two competing patterns emerge:\n  1) Off-chain API pipelines (CoinGecko/DeFiLlama/DexScreener) injected into sessions\n  2) On-chain verifiable indicator access (Pythia MCP using Chainlink on Polygon)\n- Users need guidance on when to use which, plus standard interfaces/plugins.\n\n**Evidence**\n- Pythia MCP server release and offer to help integration.\n- The Undesirables project builds an off-chain live market data pipeline.\n\n**Primary impact**\n- Integration choices are unclear; inconsistent tooling increases maintenance burden.\n\n---\n\n### 5. Security \u2014 Dependency supply-chain awareness but no visible \u201cwhat to do now\u201d (Lower frequency, high severity when it occurs)\n**What users are experiencing**\n- litellm-pypi supply chain attack was flagged, but there\u2019s no visible follow-through playbook shared in the same channels.\n\n**Evidence**\n- DorianD raises the alert; acknowledgement follows.\n\n**Primary impact**\n- Builders may continue using compromised patterns; erodes trust if guidance isn\u2019t centralized.\n\n---\n\n### 6. UX/UI \u2014 Onboarding experience is mostly \u201csocial,\u201d not task-driven (Medium frequency, medium severity)\n**What users are experiencing**\n- General channel is dominated by intros/greetings; newcomers are told \u201cbuild with elizaos\u201d without a next step.\n- Users looking for specific outcomes (trading agent examples, Milady app status) don\u2019t get a clear path.\n\n**Evidence**\n- 2026-03-25 discussion channel described as primarily social with minimal technical problem-solving.\n\n**Primary impact**\n- High drop-off risk for new members who arrive ready to build.\n\n---\n\n### 7. Community/Moderation \u2014 Promotional/off-topic posts leak into builder spaces (Low frequency, medium severity)\n**What users are experiencing**\n- At least one \u201cpromotional investment solicitation\u201d appears in coders context.\n\n**Primary impact**\n- Reduces signal-to-noise in technical channels and discourages serious contributors.\n\n---\n\n## 2) Usage Pattern Analysis (Actual vs intended usage)\n\n### Observed primary usage patterns (what people are actually building)\n1) **Autonomous crypto trading agents** (dominant theme across 3/23\u20133/25)\n   - Single-agent and multi-agent setups\n   - 24/7 operations, high emphasis on market context ingestion and memory\n2) **Agent \u201cidentity/personality as configuration\u201d**\n   - Deterministic personality generation from NFT traits (Big Five + \u201ctrading scores\u201d)\n   - Exportable workspaces (YAML frontmatter + character.json) aligned with ElizaOS V1 spec compatibility\n3) **Market data retrieval as agent infrastructure**\n   - On-chain indicators without API keys (Pythia MCP)\n   - Off-chain aggregated APIs piped into sessions (CoinGecko/DeFiLlama/DexScreener)\n\n### Mismatches vs intended/expected platform positioning\n- elizaOS is presented as a general agent framework, but community demand is currently **finance/trading-first**; documentation and examples do not appear to match this concentration.\n- Users treat Discord as primary support + product truth source, but key answers remain unresolved (tokens/app support, who to contact).\n\n### Emerging / unexpected use cases to lean into\n- **Mass \u201cagent workspace minting\u201d**: 4,444 pre-configured agent workspaces suggests demand for \u201cagent templates at scale,\u201d portable configs, and deterministic generation pipelines.\n- **Oracle-native agent context**: verifiable on-chain indicators are being used as a way to avoid API keys and improve trust\u2014this could become a first-class integration story.\n\n### Feature requests implied by usage (even when not stated explicitly)\n- A canonical **trading agent starter kit** (reference repo, risk controls, evaluation harness)\n- A standard **market data provider interface** (pluggable sources: off-chain APIs, on-chain oracles)\n- Better **workspace packaging/export/import** workflows (since users are shipping downloadable workspaces)\n\n---\n\n## 3) Implementation Opportunities (2\u20133 concrete solutions per major pain point)\n\n### A) Fix \u201cbasic clarity\u201d documentation gaps (Tokens/Milady app support; hackathon path)\n**High impact / Low\u2013Medium difficulty**\n1) Publish a single pinned \u201cMilady app + tokens\u201d FAQ in Discord + docs site:\n   - \u201cWhat tokens exist, which are supported, what is not supported, and why\u201d\n   - Include a \u201clast updated\u201d timestamp and ownership (who maintains it)\n2) Add an \u201cOfficial links & contacts\u201d page (Discord pinned + website/docs):\n   - Who represents elizaOS for partnerships\n   - Where to file integration requests (GitHub Discussions vs Discord)\n3) Create a \u201cHackathon/Builders Challenge quickstart\u201d checklist:\n   - Install \u2192 run sample agent \u2192 add one integration \u2192 submit\n   - Link to workshops (March 26 / April 2 mentioned)\n\n**Comparable patterns in similar projects**\n- Kubernetes/CNCF-style \u201cGetting Started\u201d + \u201cFAQ\u201d pages that answer the top 10 recurring questions and are aggressively kept current.\n- LangChain\u2019s approach: multiple \u201ccookbooks\u201d plus a central \u201cIntegrations\u201d index.\n\n---\n\n### B) Improve support routing and response reliability in Discord\n**High impact / Medium difficulty**\n1) Add a triage workflow for unanswered questions:\n   - A weekly \u201cUnanswered Questions\u201d thread\n   - Lightweight tagging: `#trading`, `#integrations`, `#security`, `#milady-app`\n2) Create role-based office hours:\n   - \u201cTrading agents clinic\u201d (weekly)\n   - \u201cIntegrations clinic\u201d (MCP/oracles/plugins)\n3) Convert high-signal answers into durable artifacts:\n   - When Denis/Ivan answer something, auto-promote to a \u201cknowledge base\u201d channel or GitHub Discussions summary\n\n**Comparable patterns**\n- Rust / Next.js communities use scheduled office hours and structured Q&A threads to prevent Discord from becoming an unsearchable support sink.\n\n---\n\n### C) Ship a canonical autonomous trading agent reference implementation\n**High impact / Medium\u2013High difficulty**\n1) Provide a \u201ctrading agent starter kit\u201d repository:\n   - Paper trading mode by default\n   - Risk controls: position sizing, max drawdown stop, rate limits\n   - Evaluation harness: backtesting hooks + replay logs\n2) Standardize memory & telemetry patterns:\n   - Recommended memory tiers (short-term / long-term / episodic) with clear APIs\n   - Built-in metrics: decision latency, error rates, PnL attribution (even for paper trading)\n3) Add safety guidance explicitly:\n   - Threat model (prompt injection via market data, compromised plugins, key leakage)\n   - Secure key handling recommendations\n\n**Comparable patterns**\n- \u201cReference architecture\u201d repos common in Terraform/AWS CDK ecosystems; reduces repeated reinvention.\n- Trading bot communities (e.g., Freqtrade-style projects) succeed by making paper trading + backtesting first-class, not optional.\n\n---\n\n### D) Unify market data integrations (off-chain APIs vs on-chain oracles)\n**Medium\u2013High impact / Medium difficulty**\n1) Define a MarketDataProvider interface in elizaOS plugin ecosystem:\n   - Common outputs: price, volume, OHLCV, indicators, confidence/source\n2) Provide two maintained implementations:\n   - Off-chain aggregator provider (CoinGecko/DeFiLlama/DexScreener)\n   - On-chain oracle provider (Pythia MCP / Chainlink)\n3) Add a \u201cwhen to use which\u201d guide:\n   - Off-chain: broader coverage, faster iteration, but trust/API dependency\n   - On-chain: verifiable, fewer assets/timeframes, chain-specific constraints\n\n**Comparable patterns**\n- OpenTelemetry\u2019s \u201ccommon data model\u201d approach: many backends, one interface.\n\n---\n\n### E) Turn security alerts into a standard response playbook\n**High impact / Medium difficulty**\n1) Publish a \u201cDependency incident response\u201d checklist:\n   - How to check if affected, how to rotate keys, how to pin versions\n2) Add automated dependency scanning guidance for plugin authors:\n   - Recommend Renovate/Dependabot policies and lockfile hygiene\n3) Create a security advisories channel + monthly roundup:\n   - Summarize incidents like litellm-pypi and what action is required\n\n**Comparable patterns**\n- npm/PyPI ecosystems rely on quick advisory posts + pinned mitigation steps; projects that centralize this reduce panic and rumor spread.\n\n---\n\n## 4) Communication Gaps (Expectations vs reality)\n\n### Gap 1: \u201cIs this supported?\u201d (tokens/app) vs silence\n- Users asked whether the Milady app supports both base and SOL milady.ai tokens; no answer was captured.\n- This creates speculation and \u201cbad news\u201d hints rather than clarity.\n\n**Fix**\n- Maintain an explicit support matrix (Supported / Not supported / Planned / Unknown).\n\n### Gap 2: \u201cWhere do I get help?\u201d vs \u201cask in Discord\u201d\n- Builders want architectural feedback (trading agents) but only get directional advice (hackathon).\n- Partnership inquiries required clarification about official representation.\n\n**Fix**\n- Publish official support routes and escalation paths (Discord \u2192 GitHub Discussion \u2192 issue \u2192 maintainer office hours).\n\n### Gap 3: \u201cSecurity alert acknowledged\u201d vs \u201cwhat should builders do now?\u201d\n- The supply-chain alert was recognized but not followed by steps.\n\n**Fix**\n- Always pair alerts with a mitigation snippet and link to a living security page.\n\n---\n\n## 5) Community Engagement Insights\n\n### Power users / high-leverage contributors observed\n- **Denis**: organizes Builders\u2019 Challenge, offers support, routes builders to workshops.\n  - Need: tooling to capture workshop outcomes into docs; structured intake for stuck participants.\n- **Ivan Jeremic**: shipped Pythia MCP server + offers integration help.\n  - Need: a clear plugin/integration pathway and a standard provider interface so adoption scales.\n- **sailorpepe.eth**: advanced implementation (V1 spec compatibility, memory tiers, live data pipeline, large-scale workspaces).\n  - Need: design review channel, reference architecture alignment, and distribution via official registry/templates.\n- **Odilitime**: provides Milady app dev status; clarifies official representation.\n  - Need: centralized announcements + a single source of truth to reduce repeated questions.\n- **satsbased**: onboarding greeter.\n  - Need: a scripted onboarding flow (what to do in first 30 minutes) to convert greetings into builds.\n\n### Common newcomer questions indicating onboarding friction\n- \u201cAnyone built autonomous trading agents?\u201d (seeking examples/community validation)\n- \u201cDoes the app support X token?\u201d (seeking official product clarity)\n- \u201cWhen will the app be online?\u201d (release expectation management; appears repeatedly in recent days)\n\n### Converting passive users into contributors\n1) Add \u201cGood First Contribution\u201d lists tied to what users are building now:\n   - Market data provider interface tasks\n   - Trading agent starter kit issues (docs, tests, connectors)\n2) Host \u201cShow & Tell\u201d threads for agent setups:\n   - Require a short template: goal, architecture, plugins used, issues encountered\n3) Reward documentation contributions:\n   - Visibility in release notes/Discord roles for people who convert repeated Qs into docs\n\n---\n\n## 6) Feedback Collection Improvements\n\n### Effectiveness of current channels\n- Discord captures energy and early ideas, but feedback is **unstructured** and **answers are not durable**.\n- Key product questions go unanswered, indicating weak triage and ownership.\n\n### Improvements for more structured, actionable feedback\n1) Add a pinned \u201cFeedback intake\u201d form (or GitHub Discussion template) with required fields:\n   - Goal, environment, plugins, logs, expected vs actual, severity\n2) Weekly digest process:\n   - Summarize top questions + decisions + known issues\n   - Post back into Discord and archive in GitHub Discussions\n3) Channel hygiene:\n   - Route investment/promotional content away from coders\n   - Add moderation triggers for solicitation posts\n\n### Underrepresented segments (missing voices)\n- Non-crypto builders (productivity, customer support, knowledge agents) are not visible in this slice.\n- Teams deploying agents in production (ops, compliance, enterprise security) are not represented.\n- UX/UI feedback about actual product surfaces (dashboard, onboarding flows) is absent\u2014likely because users are stuck at \u201cwhere do I start\u201d or building custom stacks.\n\n---\n\n## Prioritized High-Impact Actions (Next 2\u20134 weeks)\n\n1) **Publish and pin an \u201cOfficial: Milady app + tokens + support matrix\u201d FAQ** (Docs + Discord), with an owner and update cadence.  \n2) **Launch a canonical \u201cAutonomous Trading Agent Starter Kit\u201d** (paper trading by default, risk controls, evaluation harness) to match dominant community usage.  \n3) **Create a MarketDataProvider standard + two reference integrations** (off-chain APIs + on-chain oracle/Pythia MCP), plus a selection guide.  \n4) **Implement Discord support triage**: unanswered-questions weekly thread, tagging, and scheduled \u201cTrading agents clinic / Integrations clinic\u201d office hours.  \n5) **Add a security response playbook** for dependency incidents (like litellm-pypi) and standardize alert\u2192mitigation communication.",
  "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"
  ]
}