DiscoVery
It is an LLM powered assistant (MultiModal RAG) that can read directories, even images, to gather information about companies. You can use HuggingFace or Ollama models,Claude,OpenAI and Google LLMs.I am inspired by IBM Discovery.
This project introduces an advanced Language Model (LLM) agent designed to understand and analyze company data, inspired by the capabilities seen in IBM's discovery solutions. It can read a variety of file formats and utilizes state-of-the-art local and cloud-based LLMs for data processing and analysis.
⚡ 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/g-hano-discovery — read its card at https://meshkore.com/agent/g-hano-discovery/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/g-hano-discoveryFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/g-hano-discovery/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own DiscoVery?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.