{
  "prompt_name": "developer-update",
  "category": "dev",
  "date": "2026-03-26",
  "generated_text": "# ElizaOS Developer Update (2026-03-20 \u2192 2026-03-26)\n\n> Data sources available this week: ElizaOS Developer Discord (Mar 23\u201325). No GitHub PR/issue/event feed was included in the provided dataset for this date range, so this update focuses on community-shared implementations, integration patterns, and security considerations surfaced in Discord.\n\nRelevant threads:\n- Discord #coders (autonomous trading agents + NFT agent workspaces): https://discord.com/channels/1253563208833433701/1300025221834739744  \n- Discord #discussion (onboarding + milady token support question): https://discord.com/channels/1253563208833433701/1253563209462448241  \n\n---\n\n## 1) Core Framework\n\n### Runtime patterns emerging: \u201cTrading agent\u201d as a first-class workload\nMultiple builders are converging on a common ElizaOS runtime shape for autonomous trading:\n\n- **Signal ingestion layer** (market data, on-chain oracle data, social/news)\n- **Stateful memory** (short-term conversation context + mid-term scratchpad + long-term portfolio/strategy memory)\n- **Action layer** (DEX/CEX execution, alerts, journaling, risk controls)\n\nThis week\u2019s discussion highlighted two concrete approaches to the \u201csignal ingestion\u201d layer:\n\n1) **Off-chain API pipeline injection** (CoinGecko/DeFiLlama/DexScreener) directly into agent sessions (community project below).  \n2) **On-chain oracle indicators via MCP** (Pythia MCP server using Chainlink on Polygon), removing API-key and rate-limit dependencies for certain indicators.\n\n### MCP as the integration boundary for market indicators\nThe **Pythia MCP server** release (community) is effectively a plug-in style \u201ctool server\u201d that can be mounted into an agent\u2019s toolset to query indicators in a deterministic, verifiable way (oracle-backed). This is a strong fit for ElizaOS\u2019 tool-driven agent architecture, especially for DeFi agents where provenance matters.\n\n**Install (community package):**\n```bash\npip install pythia-oracle-mcp\n```\n\n**What it provides (per Discord):**\n- Chainlink oracle-backed indicators on Polygon\n- 13 tokens \u00d7 4 timeframes\n- EMA, RSI, VWAP, Bollinger Bands, volatility metrics\n- No API keys required\n\n---\n\n## 2) New Features (Builder Ecosystem)\n\n### A) NFT \u2192 Deterministic agent personality + workspace export (The Undesirables)\nA substantial community build was shared by **sailorpepe.eth**: *The Undesirables* \u2014 **4,444 NFT-backed agent workspaces** where NFT visual traits deterministically map to an agent \u201cpersonality vector\u201d across **7 dimensions** (Big Five + trading scores). The system includes:\n\n- **ElizaOS V1 spec compatibility**\n  - YAML frontmatter support\n  - `character.json` export\n- **3-tier MemGPT-style memory architecture**\n- **Live market data injection** into sessions from:\n  - CoinGecko\n  - DeFiLlama\n  - DexScreener\n- \u201cSoul viewer\u201d + downloadable workspaces\n\nProject link shared: https://the-undesirables.com/\n\n**Practical takeaway for ElizaOS devs:** deterministic personality mapping is a scalable way to generate large agent fleets while preserving reproducibility (important for debugging, evaluation, and compliance).\n\n**Example: V1-style YAML frontmatter concept (illustrative)**\n```yaml\n---\nname: \"Undesirable #1842\"\npersona:\n  big5:\n    openness: 0.72\n    conscientiousness: 0.41\n    extraversion: 0.18\n    agreeableness: 0.33\n    neuroticism: 0.61\n  trading:\n    riskTolerance: 0.77\n    patience: 0.22\nmemory:\n  strategy: \"memgpt-3-tier\"\ntools:\n  - marketData.coingecko\n  - marketData.defillama\n  - marketData.dexscreener\n---\n```\n\n**Example: injecting market snapshots into the session (pattern)**\n```ts\n// Pseudocode: normalize multiple providers into a single \"market snapshot\"\nconst snapshot = await aggregateMarketData({\n  symbol: \"ETH\",\n  sources: [\"coingecko\", \"defillama\", \"dexscreener\"],\n});\n\nagent.runtime.memory.append({\n  type: \"context.market_snapshot\",\n  timestamp: Date.now(),\n  payload: snapshot,\n});\n\n// The model then reasons over a stable, structured payload rather than raw API text.\n```\n\n### B) Nosana \u00d7 ElizaOS partnership: Builders\u2019 Challenge enablement\nA community announcement from **Denis (Nosana ecosystem)**: partnership launch for the **Nosana Builders\u2019 Challenge** (starting Mar 25) with workshops scheduled **Mar 26** and **Apr 2**. This is not a framework code change, but it *is* a material developer-enablement event, and likely to produce short-lived forks/plugins and new \u201cagent templates\u201d oriented around shipping quickly.\n\n---\n\n## 3) Bug Fixes (Critical)\n\n### No core bug-fix PRs were provided in this dataset\nNo GitHub PRs/issues or changelog entries for Mar 20\u201326 were included, so this update cannot enumerate merged fixes in `elizaos/eliza` or official plugins.\n\n### \u201cBug-class\u201d issue surfaced: supply chain attack awareness (litellm-pypi)\nA critical security warning was raised in Discord regarding a **supply chain attack on `litellm-pypi`** (acknowledged by Odilitime). Even when this is not an ElizaOS bug per se, it is a **high-severity operational risk** for agents that execute tools, handle secrets, or trade.\n\n**Recommended immediate mitigations for ElizaOS builders:**\n- Pin and hash Python dependencies for production agents:\n```bash\npip-compile --generate-hashes -o requirements.txt pyproject.toml\npip install --require-hashes -r requirements.txt\n```\n- Audit dependency trees:\n```bash\npip install pip-audit\npip-audit\n```\n- Prefer allowlisted tool execution and scoped API keys (especially for trading keys).\n\n---\n\n## 4) API Changes\n\nNo official ElizaOS API changes were referenced in the provided Discord logs, and no GitHub API diffs were available.\n\n**Note for plugin authors:** if you are depending on community MCP servers (like Pythia), treat them as external APIs:\n- version-pin the server package\n- define a strict request/response schema\n- fail closed on schema mismatch (don\u2019t \u201cbest-effort parse\u201d indicator payloads for trading decisions)\n\n---\n\n## 5) Social Media Integrations (Twitter / Telegram / Discord / Farcaster)\n\nNo new merges or releases for official social plugins were included in this week\u2019s dataset.\n\n**Developer interest signal:** onboarding chatter continues, but the strongest pull is around *autonomous trading agents*. If you\u2019re building \u201ctrading agent + social presence,\u201d consider:\n- posting execution summaries to Discord/Telegram\n- gating sensitive tool calls behind confirmations in social channels\n- journaling trades to an append-only channel/thread to support later evaluation\n\n---\n\n## 6) Model Provider Updates (OpenAI / Anthropic / DeepSeek / etc.)\n\nNo provider integration changes were referenced in the provided data for this week, and no GitHub diffs were available.\n\n**Operational note for local-model traders:** a builder (Naman) discussed running a **200\u2013500B local model** for 24/7 trading and seeking an AI/ML partner for optimization/monitoring. If you run local providers:\n- measure *latency variance* and *tool-call error rate* as first-class metrics (missed fills often correlate more with tail latency than average latency)\n- implement \u201csafe mode\u201d fallbacks when the model is degraded (reduce position size, disable new entries, alerts-only)\n\n---\n\n## 7) Breaking Changes (V1 \u2192 V2 migration warnings)\n\n### Community projects are explicitly targeting **ElizaOS V1 spec compatibility**\nThe Undesirables workspace format and exports were called out as V1-compatible (YAML frontmatter + `character.json`). If you are migrating to (or starting on) V2-era agent definitions, watch for these common breaking edges:\n\n- **Character definition schema drift**\n  - Field names and nesting may differ (e.g., `persona`, `style`, `tools`, `memory` blocks)\n  - Validation strictness may increase (unknown keys rejected rather than ignored)\n\n- **Memory subsystem expectations**\n  - A MemGPT-like 3-tier memory strategy may require explicit adapters in V2 if the runtime expects different memory providers or message types.\n\n- **Tooling / plugin interfaces**\n  - If your agent relies on \u201cmarket snapshot injection\u201d as raw text, a newer runtime may require structured tool outputs (JSON schema) instead of free-form strings.\n\n**Migration guidance (practical):**\n1) Keep `character.json` exports under version control and add a schema-version tag.\n2) Add a translation layer:\n```ts\nfunction v1ToV2Character(v1: any): V2Character {\n  // Map known fields, drop/flag unknowns, and produce deterministic output.\n  // Fail closed for trading agents.\n  return {\n    name: v1.name,\n    traits: v1.persona?.big5,\n    toolchain: normalizeTools(v1.tools),\n    memoryPolicy: normalizeMemory(v1.memory),\n  };\n}\n```\n3) Run golden-test conversations on both runtimes before enabling live keys.\n\n---\n\n## Open Questions / Action Items\n\n- **Autonomous trading agent templates:** Ape Ape | KairoGuard requested feedback/review of their setup; consider sharing minimal reproducible repos/configs in #coders to establish best practices.\n- **Milady app token support clarification:** a question was raised about base Milady vs SOL milady.ai token support; no authoritative answer was posted in the thread. If this impacts integrations, publish a single source of truth in docs/FAQ.\n- **Security response posture:** given the `litellm-pypi` incident, it\u2019s worth standardizing a dependency-pinning + audit recommendation in ElizaOS docs for production agents (especially trading agents).",
  "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"
  ]
}