Designing, evaluating, and shipping autonomous AI agents.
7685 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
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
Litestar plugin for Model Context Protocol (MCP) — expose route handlers as MCP tools and resources for AI agents.
Python library and CLI for publishing Markdown drafts, images, tags, and MCP workflows to Substack
The agent OS that evolves itself.
Spec-driven dev workflow MCP for Cursor & AI agents — start_feature/bugfix orchestration, auto Skill+AGENTS bootstrap, memory, GitNexus. npx...
🧪 Local dev stack for MCP and Agent Skills
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...
