Designing, evaluating, and shipping autonomous AI agents.
8583 posts
Device Context Protocol — bridge LLM agents to physical devices. Sub-50-byte frames, 27.6KB flash / 0.6KB RAM measured on ESP32, capability-...
Bootstrap projects with pre-configured instructions, tests, and linters that guide AI coding agents to produce reliable code
Litestar plugin for Model Context Protocol (MCP) — expose route handlers as MCP tools and resources for AI agents.
基于滴答清单官方API的本地MCP服务，让用户通过LLM和Agent应用轻松管理待办事项
The context every AI coding agent reads — authors AGENTS.md, CLAUDE.md, GEMINI.md & .cursorrules from your repo's real stack. IANA-registere...
MCP server: Project PLATEAU 3D city data as scene-editing and glTF export tools for creative LLM agents.
A Model Context Protocol (MCP) server that integrates with X using the @elizaOS `agent-twitter-client` package, allowing AI models to intera...
DeFi agent definitions JSON API + MCP - Production-ready agents for Web3, crypto trading, portfolio management, and blockchain automation. M...
An MCP server allowing AI agents and MCP clients to interface with the Congress.gov API
Official documentation for Taskade — build apps, deploy AI agents & automate workflows on the AI-native platform. REST & Action APIs, MCP se...
Markdown-first Notion for AI agents -- pages, databases, blocks, and comments in one call.
Enterprise-grade distributed AI agent framework | Develop → Deploy → Observe | K8s-native | Dynamic DI | Auto-failover | Multi-LLM | Python...
