The real catalog of tools for AI agents

Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.

Rag Knowledge MCP Server by MEOK AI Labs

Rag Knowledge Graph MCP Server by MEOK AI Labs

Permission-aware RAG for agents — ingest docs, hybrid search, cited answers (hosted API).

Calypso multimodal RAG for grounded answers from docs, images, charts, and knowledge.

Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.

Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.

Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.

Search your knowledge bases from any AI assistant using hybrid RAG.

Personal YouTube AI knowledge base powered by RAG. Query your subscribed YouTube channels.

Sovereign intelligence dossiers, daily briefings, RAG search, knowledge graph, codon optimizer.

Salesforce AgentForce knowledge graph — 40 nodes, Einstein Trust Layer, 11x fewer tokens than RAG.

Cognitive memory for AI agents. Atkinson-Shiffrin, RAG, knowledge graph. 100+ tools.

Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens.

NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.

Offline codebase knowledge graph: 91% token reduction vs naive RAG, plus cross-session agent memory.

97-domain knowledge graphs for AI agents — 4× F1 of RAG, 11× fewer tokens. MCP-native.

Convert .eml and .mbox email to clean Markdown for RAG, LLM pipelines, and local knowledge bases

GitHub repository vectorizer and context synthesizer for RAG pipelines.

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.