Memory-Plus
a lightweight, local RAG memory store to record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working…
Directory
a lightweight, local RAG memory store to record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working…
MCP Server to improve LLM context through vector search.
A powerful Model Context Protocol (MCP) server that intelligently fetches and processes web content with nested URL crawling capabilities. Transform any…
Comprehensive MCP server exposing dozens of capabilities to AI agents: multi-provider LLM delegation, browser automation, document processing, vector ops, and…
This is a lightweight, plug-and-play MCP server that empowers any LLM to dynamically search and retrieve up-to-date documentation from popular AI libraries…
# Knowledge MCP Server A Model Context Protocol (MCP) server that provides tools for managing and querying knowledge bases through vector databases. This…
Retrieve and process documentation using vector search to provide context for AI assistants.
Explore and understand codebases through conversation by breaking files into logical chunks for searching and querying without embeddings.
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from…
Enables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing…
A specialized RAG gateway providing language models with Cardano blockchain knowledge. Enables AI assistants to access documentation, validate smart contracts…
A semantic search server for codebases using Qdrant, featuring intelligent GitHub issue and project management.
Provides local repo-intelligence by indexing source, symbols, call graphs, Git/GitHub history, and source-bound repo memories into a local database for coding…
Local-first MCP tools for searching and drafting from your X/Twitter archive.
Salesforce AgentForce as a traversable knowledge graph — 40 nodes, Einstein Trust Layer, $2-per-resolution billing path, 11x fewer tokens than RAG. MCP-native.
Structured business ontology giving AI agents deterministic access to institutional reasoning — 18 MCP tools, Dolt backend, 0% → 100% "why?" recall vs…
Hypergraph database for AI agents. Store n-ary relationships (edges connecting 2+ nodes), track provenance (source and confidence), and query paths — all…
NVIDIA AI developer stack as a Compressed Knowledge Graph (CKG) — 20 domains, 998 nodes, every prerequisite chain declared as typed edges. Agents traverse…
A powerful Model Context Protocol (MCP) server using gemini embedding 3 that transforms any local directory into an ultrafast, visually-aware spatial search…
A Model Context Protocol (MCP) server for accessing and searching Standard Operating Procedures (SOPs) with Italian language support.
EU AI Act compliance scanning for Python AI agents. 10 tools that scan, analyze, and fix compliance gaps across LangChain, CrewAI, AutoGen, OpenAI, and RAG…
Trying to use mcp servers for setting up local rag
A Model Context Protocol (MCP) server implementation for RAG
6-tier AI memory system with 28 MCP tools — episodic memory, knowledge graphs, document storage, session ledger, auth & GDP 6-tier AI memory system with 28 MCP…