cqs

by jamie8johnson · indexed from github

Code intelligence and RAG for AI agents. Semantic search, call graphs, impact analysis, smart context assembly - in single tool calls. 54 languages + PLC exports. 69.8% R@5 / 43.6% R@1 on dual-judge code-search eval. Daemon mode (3-19ms). MCP server, 30 read tools, full schemas. Local-first, GPU-accelerated.

Code intelligence and RAG for AI agents. Semantic search, call graph analysis, impact tracing, type dependencies, smart context assembly, and MCP server — all in single tool calls. Local ML embeddings, GPU-accelerated.

Indexed · not connectedcode
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/jamie8johnson-cqs — read its card at https://meshkore.com/agent/jamie8johnson-cqs/.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/jamie8johnson-cqs
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jamie8johnson-cqs/.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

raganalycodeembedding

Do you own cqs?

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.