SuperMew

by icey1287 · indexed from github

SuperMew — Agentic RAG with LangChain & LangGraph

痛点: FastAPI 运行在单线程的 asyncio Event Loop 上。为了不阻塞主线程,LangChain 通常将同步工具(如 search_knowledge_base)放到 ThreadPoolExecutor 中运行。但在子线程中,无法直接访问主线程的 asyncio.Queue,且 asyncio.get_event_loop() 通常会失败。

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/icey1287-supermew — read its card at https://meshkore.com/agent/icey1287-supermew/.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/icey1287-supermew
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/icey1287-supermew/.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 SuperMew?

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.