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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。
3stars
0forks
Python
langchainlanggraphmcppythonssevue
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
Install
Universal installANY TOOL
$ npx skillcity@latest RudyGo8/TraceAgenticAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/RudyGo8/TraceAgentic.git
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
traceagentic — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt