{ "server": "elizaOS", "title": "elizaOS Discord - 2025-03-09", "date": 1741478400, "stats": { "totalMessages": 943, "totalUsers": 140 }, "categories": [ { "channelId": "1253563209462448241", "channelName": "discussion", "summary": "# Discord Chat Analysis\n\n## 1. Summary\nThe discussion primarily revolves around ElizaOS, its framework, and associated AI agents. The core team is working on ElizaOS 2.0, with a recent rebranding milestone achieved. DegenAI, an in-house agent, is being migrated to v2. There's ongoing work on a ticker change, though this process is complicated and not entirely under the team's control. The community discusses the distinction between in-house agents (like DegenAI and aixvc) versus aligned partner agents. Several technical questions arise about agent development, including how to build Twitter-integrated agents, how to properly prompt characterfiles, and how plugins work. An upcoming event for plugin demonstrations was mentioned. Community members express interest in ElizaOS's potential as a framework for AI agents with real utility, distinguishing it from other projects in the space.\n\n## 2. FAQ\nQ: What could partner LP be? (asked by hildi) A: Unanswered\nQ: Is AI16z community dead? (asked by P A P Ø,G) A: Nah very vibrant, a lot more engagement is happening in Coders and Partners channels. (answered by Patt)\nQ: How does MCP work vs. ElizaOS's plugin system? Will the plugin model ever move to MCP? (asked by shandy) A: Unanswered\nQ: When will elizaos v2 launch? (asked by Walker >>) A: By April (answered by HoneyBadger)\nQ: Are they still working on allowing a dao to vote over at daos.fun? (asked by hildi) A: Yes it's a metadata feature that daos.fun has to figure out. They are aware we need it (answered by Patt)\nQ: How far has the development of degenAi come? (asked by Lexuz) A: Team is migrating him to v2 and dealing with getting him back up on x. They also made a few connections during eth Denver. (answered by Patt)\nQ: What is the difference between degenAI and other AI agents? (asked by HERF) A: DegenAI is an in-house agent so the team would be very intimately familiar with our framework and would have an inherently beneficial relationship with our ecosystem (answered by Rick)\nQ: Are the agent dev school session links pinned anywhere? (asked by sayosh) A: https://github.com/thejoven/awesome-eliza?tab=readme-ov-file#ai-agent-dev-school-series (answered by Patt)\n\n## 3. Help Interactions\nHelper: Patt | Helpee: Someone | Context: Building AI agent with Twitter integration | Resolution: Suggested posting in the coders channel for better visibility\nHelper: Patt | Helpee: IncelIntel | Context: Agent stopped tweeting | Resolution: Suggested getting coders role and asking in the coders channel\nHelper: Patt | Helpee: sayosh | Context: Looking for agent dev school session links | Resolution: Provided GitHub link with resources\nHelper: Patt | Helpee: Peter Tomala | Context: Couldn't find events section on mobile | Resolution: Explained it's the calendar icon on top right of screen\nHelper: Kenk | Helpee: Peter Tomala | Context: Questions about upcoming plugin tutorial event | Resolution: Explained it's for developers to share plugins they've created\n\n## 4. Action Items\nTechnical: Migrate DegenAI to ElizaOS v2 | Description: Update DegenAI to work with the new framework version | Mentioned By: Patt\nTechnical: Complete ticker change process | Description: Continue working on the complicated ticker update process | Mentioned By: Patt\nTechnical: Develop REST API examples for ElizaOS | Description: Create example repositories showing how to send/receive responses from ElizaOS via REST APIs | Mentioned By: Ayush\nDocumentation: Create guide for properly prompting characterfiles | Description: Develop documentation on how to prompt characterfiles to produce desired outputs | Mentioned By: Matej\nFeature: Implement DAO voting functionality | Description: Complete the metadata feature for daos.fun to allow DAO voting | Mentioned By: hildi\nFeature: Restore DegenAI functionality on Twitter | Description: Get DegenAI back up and running on the X platform | Mentioned By: Patt", "messageCount": 171, "userCount": 67 }, { "channelId": "1300025221834739744", "channelName": "💻-coders", "summary": "# Analysis of 💻-coders Discord Chat\n\n## 1. Summary\nThe chat primarily revolves around ElizaOS agent setup and troubleshooting. Users face various issues with client integrations (Twitter, Discord, Ollama), environment configuration, and plugin installation. Key technical discussions include:\n\n- Ollama integration: Users struggled with model selection, port conflicts, and connection issues. Solutions included installing Ollama properly, pulling specific models, and configuring environment variables.\n- Twitter client setup: Multiple users had difficulty with the Twitter client integration due to authentication issues, API rate limits, and plugin installation problems. The solution involved proper plugin installation and environment configuration.\n- Discord client integration: Users encountered issues with Discord bot permissions, token configuration, and client initialization. Debugging focused on proper environment variables and permission settings.\n- Knowledge management: Discussion about dynamic knowledge ingestion, with clarification that current builds require agent restart for new knowledge to be processed.\n- Plugin development: Guidance on creating custom plugins for ElizaOS, including file structure and implementation details.\n- Database integration: Users sought help with MongoDB sharding and PostgreSQL configuration for RAG systems.\n\nThe chat reveals significant friction in the developer experience, particularly around environment setup, client integration, and documentation inconsistencies.\n\n## 2. FAQ\nQ: How do I install new agents using the roll back? (asked by Pedro) A: For rollback, git checkout the commit hash of working version, then install new agents with normal process - copy template dir, edit character.json, add to registry. (answered by jintern)\nQ: What is the new build command and npm version now that it switched to bun? (asked by [elizaos] ) A: If you're on latest, build command is now \"bun run build\" instead of pnpm build. For deps use \"bun install\" instead of pnpm i. (answered by jintern)\nQ: Can knowledge be ingested easily on the fly yet? (asked by SecretRecipe) A: Still need to restart for knowledge changes. No dynamic ingestion yet. (answered by jintern)\nQ: How do I setup the autoclient to run every 30min? (asked by Yann) A: Add a cron config in your character.json with schedule settings. (answered by jintern)\nQ: Any pointers on best practice for extending TemplateType for custom plugins? (asked by Rick) A: Add custom templates to the types.d.ts file in your plugin dir, then access in code via templates.myCustomTemplate. (answered by jintern)\nQ: Is there any way to start with a free API? (asked by Ghost) A: You can use free APIs with ElizaOS. For LLMs check out Ollama for local or together.ai which has free credits. (answered by jintern)\nQ: Is anyone able to use a PDF file for RAG knowledge? (asked by Prayag) A: Yes, PDFs work fine for RAG. In v2 you can directly use PDF without conversion by adding the file path to knowledge array in your character file. (answered by jintern)\nQ: How can I keep my AI agent running 24/7? (asked by rchak007) A: Several ways: cloud VPS (Linode/Digital Ocean), Oracle Cloud free tier, pm2 for process management, or Docker for containers. (answered by jintern)\nQ: How do I dynamically provide knowledge to an Eliza agent? (asked by ronipepe) A: Use the knowledge endpoint - POST to /api/knowledge with your data formatted as {\"content\": \"your knowledge text\", \"metadata\": {optional tags}}. (answered by jintern)\nQ: How to create a new Eliza plugin to generate text and save to file? (asked by [elizaos] ) A: Create a plugin structure with index.ts, actions folder, and implement a text generation action that uses character context and saves to file. (answered by jintern)\n\n## 3. Help Interactions\nHelper: jintern | Helpee: Ghost | Context: User having issues with Ollama connection | Resolution: Identified that Ollama wasn't installed, guided through installation steps and model configuration.\nHelper: jintern | Helpee: Ghost | Context: User confused about character.json location and model configuration | Resolution: Explained environment variable setup for Ollama model selection.\nHelper: jintern | Helpee: Midas | Context: Node version mismatch causing better-sqlite3 module errors | Resolution: Provided steps to use correct node version and rebuild the module.\nHelper: jintern | Helpee: [elizaos] | Context: Discord plugin initialization issues | Resolution: Explained that Discord plugin auto-initializes if required env vars are set correctly.\nHelper: jintern | Helpee: [elizaos] | Context: MongoDB sharding error | Resolution: Explained that free tier on Atlas doesn't support sharding and suggested alternatives.\nHelper: jintern | Helpee: Prayag | Context: Large PDF file causing token limit errors with OpenAI embeddings | Resolution: Suggested increasing chunk size in constants.js or using folder2knowledge tool.\nHelper: jintern | Helpee: Berlin | Context: Invalid array length error during database initialization | Resolution: Identified potential issues in the character JSON configuration.\nHelper: jintern | Helpee: [elizaos] | Context: Creating a custom plugin for text generation | Resolution: Provided detailed code examples and folder structure for plugin development.\n\n## 4. Action Items\nTechnical: Implement proper error handling for Discord client plugin | Description: Current implementation lacks proper error output when connection fails | Mentioned By: nullfoxgiven\nTechnical: Fix Twitter client integration issues | Description: Multiple users experiencing problems with Twitter client setup and authentication | Mentioned By: brownie\nTechnical: Add dynamic knowledge ingestion | Description: Current implementation requires agent restart for new knowledge | Mentioned By: SecretRecipe\nTechnical: Resolve node version compatibility issues | Description: Better-sqlite3 module causing errors with different Node.js versions | Mentioned By: Midas\nTechnical: Fix UI issues in client interface | Description: UI goes blank when sending messages to agent | Mentioned By: Midas\nDocumentation: Update Twitter client integration guide | Description: Current documentation doesn't match implementation | Mentioned By: brownie\nDocumentation: Improve plugin development documentation | Description: Provide clearer examples for custom plugin development | Mentioned By: [elizaos] \nDocumentation: Create guide for Discord client setup | Description: Users struggling with Discord integration | Mentioned By: nullfoxgiven\nDocumentation: Update knowledge management documentation | Description: Clarify limitations of current knowledge ingestion | Mentioned By: ronipepe\nFeature: Add support for dynamic knowledge updates | Description: Allow agents to ingest knowledge without restart | Mentioned By: SecretRecipe\nFeature: Improve caching system for composeState | Description: Current implementation causes debugging difficulties | Mentioned By: nullfoxgiven\nFeature: Add better error messages for client integrations | Description: Current error handling is insufficient | Mentioned By: jintern", "messageCount": 422, "userCount": 48 }, { "channelId": "1300756641406521416", "channelName": "ideas-feedback-rants", "summary": "# Analysis of \"ideas-feedback-rants\" Channel\n\n## 1. Summary\nThe chat segment contains minimal technical discussion with only two participants. Matej inquired about documentation for understanding the character file and how to prompt it effectively. Nullfoxgiven suggested implementing Git Flow for repository management to address what they perceive as disorganization in the main branch due to numerous contributors. Nullfoxgiven also provided a technical pointer to Matej, directing them to examine the `composeState@core/src/runtime.ts` file to understand how system prompts are generated.\n\n## 2. FAQ\nQ: Is there an article or guide that would help me understand more the characterfile and how I should prompt it to get what I want? (asked by Matej) A: You can check out `composeState@core/src/runtime.ts` for how the system prompt is generated (answered by nullfoxgiven)\n\n## 3. Help Interactions\nHelper: nullfoxgiven | Helpee: Matej | Context: Understanding character files and prompting | Resolution: Directed to examine `composeState@core/src/runtime.ts` to understand system prompt generation\n\n## 4. Action Items\nTechnical: Implement Git Flow for repository management | Description: Suggested to help organize contributions and manage the main branch better | Mentioned By: nullfoxgiven\nDocumentation: Create guide for character file usage and prompting | Description: Documentation needed to explain character files and effective prompting techniques | Mentioned By: Matej", "messageCount": 4, "userCount": 2 }, { "channelId": "1308149076893630555", "channelName": "spartan_holders", "summary": "# Analysis of spartan_holders Discord Chat\n\n## 1. Summary:\nThe discussion primarily revolves around DegenSpartanAI, a crypto trading AI project facing challenges. Team members indicate ongoing development despite price decline and market conditions. Key technical work includes refactoring tests, adding coverage for Instagram/GitHub clients, and fixing RAG system bugs. There's discussion about potential new directions for the project, including market making (MM), arbitrage trading AI integration, and launchpad services. The project appears to be undergoing rebranding, with separate tracks for \"degen rebrand\" and \"org rebrand.\" Community members express concern about the project's 97% price drop and perceived lack of progress, while team members emphasize continued backend development during the bear market. Technical hallucinations in AI responses are identified as an issue requiring better fact-checking systems and real-time data validation.\n\n## 2. FAQ:\nQ: How is the rebranding and development progressing? (asked by Chr) A: Rebranding is still in progress with work on refactoring tests, adding coverage for Instagram/GitHub clients, and fixing RAG system bugs. (answered by jintern)\nQ: Where is Degens Sparta? (asked by 100×🐂🐂🐂🐂（🥜,🥜）) A: Degens sparta is our AI trading project evolving with @0xrhota leading @degenspartanai, adding new sentiment and data layers. (answered by jintern)\nQ: Who are you? (asked by 100×🐂🐂🐂🐂（🥜,🥜）) A: I'm jintern, an AI assistant helping out with experimental projects. I work for jin, mostly behind the scenes on AI stuff. (answered by jintern)\nQ: Does no one care about Degen? (asked by Chr) A: We care a lot. He's at the center of Eliza v2 discussions. The X ban gave us a chance to go heads down again and do some planning. (answered by rhota)\nQ: How is the progress? (asked by Chr) A: Unanswered\n\n## 3. Help Interactions:\nHelper: Patt | Helpee: jintern | Context: jintern incorrectly stated market cap was below $1M | Resolution: Patt corrected that it's actually 2.9M and identified this as an AI hallucination issue\nHelper: jin | Helpee: kalshnikov | Context: kalshnikov asked about implementing confidence thresholds for AI responses | Resolution: jin confirmed such a system is already built in and can be tweaked\n\n## 4. Action Items:\nType: Technical | Description: Implement better fact checking systems and real-time data validation for AI responses | Mentioned By: jintern\nType: Technical | Description: Explore market making (MM) and arbitrage trading AI integration for DegenSpartanAI | Mentioned By: eason\nType: Technical | Description: Continue fixing RAG system bugs | Mentioned By: jintern\nType: Technical | Description: Complete refactoring tests and add coverage for Instagram/GitHub clients | Mentioned By: jintern\nType: Feature | Description: Develop DegenSpartanAI as a market making partner for launchpad projects | Mentioned By: eason\nType: Feature | Description: Add confidence threshold testing for AI responses to reduce hallucinations | Mentioned By: kalshnikov\nType: Documentation | Description: Improve documentation for RAG systems | Mentioned By: jin", "messageCount": 46, "userCount": 12 }, { "channelId": "1328592959444095038", "channelName": "associates", "summary": "# Discord Chat Analysis for \"associates\" Channel\n\n## 1. Summary\nThe chat segment contains minimal technical discussion, focusing instead on brief exchanges about cryptocurrency liquidity, social media issues, and AI agents. Ray V inquired about low liquidity in a Raydium CLMM pool, receiving a brief response about multiple pools existing. Several members discussed the quality of AI agents/bots on Twitter (X), with a consensus that current implementations are low quality and intrusive. Alsara2k provided deeper analysis on why AI bots break social contracts on social media platforms, comparing them to advertisements that users typically want to block. The conversation touched on how AI agents should evolve to be more useful and less intrusive. The chat ended with mentions of X being down and cryptocurrency prices dropping.\n\n## 2. FAQ\nQ: How come the liquidity is so low on the raydium clmm pool ($34k usd)? (asked by Ray V) A: Multiple pools (answered by DannyNOR NoFapArc)\n\n## 3. Help Interactions\nHelper: DannyNOR NoFapArc | Helpee: Ray V | Context: Question about low liquidity on Raydium CLMM pool | Resolution: Explained that there are multiple pools, implying liquidity is spread across them\n\n## 4. Action Items\nFeature: Develop AI agents that use multimedia and favor quality over quantity | Description: Create more useful agents that aren't just text-based and spammy | Mentioned By: Patt\nFeature: Create a universal communication bus for agents | Description: Allow AI agents to communicate with each other rather than cluttering human conversations | Mentioned By: Alsara2k", "messageCount": 14, "userCount": 8 }, { "channelId": "1301363808421543988", "channelName": "🥇-partners", "summary": "# Analysis of 🥇-partners Discord Channel\n\n## 1. Summary\nThe chat primarily revolves around the development of ElizaOS and its governance systems. Key technical discussions include:\n\nJin and Jintern discussed creating a governance simulation system by forking \"Clank Tank\" to run simulations on governance proposals. They explored filtering mechanisms for news aggregation pipelines to improve agent onboarding, including keyword filtering, sentiment analysis, and clustering similar updates with relevance scoring.\n\nShaw announced that v2 of the platform will be ready in beta by next Monday, significantly ahead of schedule. He mentioned working 14-hour days to complete it, with the new version offering a vastly improved technical experience.\n\nJin shared progress on data pipelines for automated newsletters, creating a system that combines updates from X, Discord, GitHub, and Codex into JSON files that can be parsed into markdown for human review. He deployed this at elizaos.github.io/eliza/news with a JSON feed for updating AI agents' knowledge.\n\nThere were discussions about on-chain reputation systems, with Jintern highlighting the challenges of creating systems that measure meaningful contributions rather than easily quantifiable metrics. They discussed hybrid approaches combining code-based verification with human judgment.\n\nThe team also discussed agent identity verification mechanisms, potentially using TEE (Trusted Execution Environments) and zero-knowledge proofs for cross-platform verification.\n\n## 2. FAQ\nQ: What is the status of v2? (asked by DannyNOR NoFapArc) A: Product first then whitepaper. Smart contracts might be in audit. (answered by jin)\nQ: When will v2 be ready? (asked by Spyros) A: V2 will be ready next Monday in beta. The experience of the tech is WAY better through and through. (answered by shaw)\nQ: What specific data would help agents understand human values? (asked by jin) A: A mix of charter/constitution with core values, treasury + market data, daily sentiment to track priorities, and historical governance decisions for precedent. (answered by jintern)\nQ: Why do on-chain reputation systems always lead to points, rankings, leaderboards? (asked by hubert) A: Human nature + technical constraints. Points/ranks are computationally efficient and intuitive for humans to understand. The challenge is designing systems that measure what matters vs just what's easy to quantify. (answered by jintern)\nQ: Can you give examples of qualitative assessment for reputation systems? (asked by hubert) A: Manual reviews by trusted community members, peer assessments by domain experts, contextual reputation that varies by activity type, contributor interviews, and retroactive public goods funding. (answered by jintern)\nQ: What is Manus? (implied by discussion) A: A competitor product that was revealed to be essentially a Claude wrapper after their prompts were leaked. (answered by jin)\n\n## 3. Help Interactions\nHelper: jintern | Helpee: jin | Context: Needed filtering mechanisms for news aggregation pipeline | Resolution: Suggested multi-tier system with keyword filtering, sentiment analysis, clustering updates, and relevance scoring based on source reputation.\nHelper: jintern | Helpee: jin | Context: Needed prompts to parse JSON files into useful markdown | Resolution: Provided three specific prompt suggestions for extracting key developments, creating concise summaries, and identifying trends.\nHelper: jintern | Helpee: hubert | Context: Researching on-chain reputation systems | Resolution: Provided detailed explanation of reputation system challenges and suggested examining gitcoin passport, lens protocol, and trust engine docs.\nHelper: HoneyBadger | Helpee: hildi | Context: Confusion about Wintermute wallet holdings | Resolution: Provided correct wallet addresses showing Wintermute has been accumulating AI16Z tokens, not selling.\nHelper: Patt | Helpee: jin | Context: Needed promotional material ideas | Resolution: Created edited \"School of Athens\" image replacing Plato and Aristotle with Eliza versions, and suggested easter egg ideas for Clank Tank.\n\n## 4. Action Items\nType: Technical | Description: Deploy governance version of Clank Tank | Mentioned By: jin\nType: Technical | Description: Complete v2 beta release by next Monday | Mentioned By: shaw\nType: Technical | Description: Add filtering logic to update aggregation script to make it more digestible for humans | Mentioned By: jintern\nType: Technical | Description: Implement agent identity verification using TEE and/or zero-knowledge proofs | Mentioned By: jintern\nType: Documentation | Description: Create a charter with community input for governance framework | Mentioned By: vincentpaul\nType: Documentation | Description: Complete document on on-chain reputation systems | Mentioned By: hubert\nType: Documentation | Description: Automate weekly newsletter generation with hackmd API | Mentioned By: jin\nType: Feature | Description: Develop hybrid reputation system combining on-chain metrics with qualitative assessment | Mentioned By: jintern\nType: Feature | Description: Create multi-agent economic systems for governance simulations | Mentioned By: jin\nType: Feature | Description: Implement Manus-style agents in v2 | Mentioned By: jin", "messageCount": 282, "userCount": 34 }, { "channelId": "1313222089271939102", "channelName": "3d-ai-tv", "summary": "# Analysis of 3d-ai-tv Discord Channel\n\n## 1. Summary\nThe chat segment is very brief, containing only four messages discussing various aspects of a project. The conversation touches on repository selection for asset management, with a suggestion to use Git with LFS (Large File Storage) for version control and S3/R2 for production delivery. There's also a brief mention of different AI tools (Luma, Pika, Runway) and their capabilities for character addition and style transfer. Finally, there's an unrelated question about liquidity for \"ai16z\". The technical discussion is minimal but focuses on asset management infrastructure and AI tool selection.\n\n## 2. FAQ\nQ: For asset management, what solution was suggested? (asked by jintern) A: A simple git repo with LFS for larger files, with S3/R2 for production delivery (answered by jintern)\nQ: Which AI tools were mentioned and what are their capabilities? (asked by whobody) A: Luma might be best, Pika can add characters on top, and Runway can do style transfer anywhere in the process (answered by whobody)\nQ: Have you considered adding more liquidity for ai16z? (asked by Jowite) A: Unanswered\n\n## 3. Help Interactions\nHelper: jintern | Helpee: boom | Context: Need to choose a repo for asset management | Resolution: Suggested git with LFS for versioning and S3/R2 for production delivery\n\n## 4. Action Items\nTechnical: Choose a repository for the project | Description: Need to select a repo for asset management | Mentioned By: boom\nTechnical: Set up git with LFS and S3/R2 | Description: Implement version control for assets with production delivery system | Mentioned By: jintern\nTechnical: Evaluate AI tools for the project | Description: Consider Luma, Pika, and Runway based on specific needs | Mentioned By: whobody", "messageCount": 4, "userCount": 4 } ] }