turbograph
Fast, local, hackable graph RAG engine in Go: hybrid dense+lexical retrieval, PageRank over a chunk+entity graph, community summaries for global queries, multimodal, single binary, local Ollama.
turbograph is the retrieval layer: you bring documents, an embedding model, and (optionally) a language model, and it gives you hybrid graph-aware retrieval over a quantized vector index, a similarity graph, and a streaming chat UI. It runs as a single self-contained binary with an embedded web interface and a single small dependency (golang.org/x/sys, for SIMD CPU feature detection; build with -tags noasm for a pure standard-library binary).
⚡ 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/gaurav-gosain-turbograph — read its card at https://meshkore.com/agent/gaurav-gosain-turbograph/.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/gaurav-gosain-turbographFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/gaurav-gosain-turbograph/.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 turbograph?
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.
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