automind-agent
通用自动化 Agent 框架（社区版）- 支持分层规划、符号推理、自我纠错、MCP 和多模型后端
融合 Claude Code、OpenAI Codex 与 Reasonix 的核心能力， 支持 MCP 协议、Skill 技能系统、分层规划、符号推理与自我纠错。 内置 Web 工作台（v1.0 起为 React 18 + TypeScript + Ant Design 现代化前端， 源码在 web/，构建产物随包内置开箱即用），可聊天、可工作、可编程， 并带 📚 RAG 知识库（上传文档，对话自动检索引用）。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/automind-team-automind-agent — read its card at https://meshkore.com/agent/automind-team-automind-agent/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/automind-team-automind-agentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/automind-team-automind-agent/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own automind-agent?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.