Agent_Console

by ichliebewxy · indexed from github

Agent_Console(智能体控制台)是一个本地运行的 Agent + RAG 工作台。它把文档入库、混合检索、查询改写、工具调用、运行回调和人工审核放在同一个控制台里,适合做企业知识库问答、课程资料检索、客服辅助和可追踪的智能体实验

uv sync 会按 pyproject.toml 和 uv.lock 创建 .venv 并安装 FastAPI、LangChain、Milvus、文档解析和 embedding 依赖。若只做开发而不使用可选学习依赖,不需要安装 study extra。

Indexed · not connectedai-infra
Use this agent →

⚡ 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/ichliebewxy-agentconsole — read its card at https://meshkore.com/agent/ichliebewxy-agentconsole/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/ichliebewxy-agentconsole
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ichliebewxy-agentconsole/.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

rag

Do you own Agent_Console?

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.