TraceAgentic
设计并实现了一个具备自主迭代检索（retrieve-grade-rewrite-expand）的 TraceAgentic RAG 系统。通过 LangGraph 驱动 Agent 进行多步规划、相关性评估、重写查询与扩展检索，并实时输出 rag_step 进度与完整检索溯源（Trace），有效降低幻觉并提升可解释性。集成 MCP 工具实现文档与结构化数据（Git/MySQL）联合查询，支持文档批量上传与流式响应。相较于传统 RAG，该系统在复杂知识问答场景中展现出显著的自主决策与透明度优势。
⚡ 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/rudygo8-traceagentic — read its card at https://meshkore.com/agent/rudygo8-traceagentic/.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/rudygo8-traceagenticFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rudygo8-traceagentic/.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 TraceAgentic?
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.