DomainMind
DomainMind: Enhance Local LLMs with RAG DomainMind integrates Retrieval-Augmented Generation (RAG) with local Large Language Models (LLMs) to answer domain-specific questions using a custom knowledgebase. It ensures privacy by running entirely offline and adapts LLMs to specialized fields like scientific research.
DomainMind is a demonstration project showing how a local Large Language Model (LLM) can be enhanced with Retrieval-Augmented Generation (RAG) to answer questions using a custom, domain-specific knowledgebase. In this case, the knowledgebase consists of scientific articles and books from a PhD bibliography, enabling the LLM to provide informed responses grounded in specialized literature it was not originally trained on.
⚡ 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/salmanfarizn-domainmind — read its card at https://meshkore.com/agent/salmanfarizn-domainmind/.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/salmanfarizn-domainmindFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/salmanfarizn-domainmind/.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 DomainMind?
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.