51 packages found
Project-scoped Qdrant MCP server for workspace collections with scratchbook functionality. Python port of claude-qdrant-
MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector databas
Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports mu
MCP server for semantic search using local Qdrant vector database and OpenAI embeddings
MCP server combining Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence with agentic RAG capabi
Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.
A Retrieval-Augmented Generation (RAG) system that leverages Google's Agent Development Kit (ADK) and Qdrant vector data
Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama wh
Unraid CA template and Docker build for Mem0 (OpenMemory). This mega-container utilizes s6-overlay to seamlessly bundle
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and wri
Persistent, graph-based memory for Roo Code via MCP
Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.
AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph,
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less to
Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco
Self-hosted MCP server connecting Claude to Odoo 15→19 — 197+ tools, multi-tenant, Bulgaria l10n
Struggling with the AWS MCP server list, don't know what to use, just type "use aws-yolo" in your prompt
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enab
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enh
A CLI tool for personal RAG that retrieves data from Notion, Obsidian, Apple Notes, etc., stored in Qdrant and exposed a
Open-source cognitive engine for AI agents — persistent memory, a first-person journal, a four-layer ethics engine, and
MCP 资源精选, MCP指南,Claude MCP,MCP Servers, MCP Clients
Semantic search over 4.6 million text chunks from 20,000 classical philosophy and humanities works. Built for AI agents
An AI co-worker with its own computer. Self-evolving, persistent memory, MCP server, secure credential collection, email
MCP server + CLI that turns the task manager you already use — TickTick or Obsidian — into persistent agent memory for C
Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime
SQLite-backed MCP Memory Server with WAL concurrent safety, FTS5 search, session tracking, task management, and cross-ma
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enh
The continuity layer for everything you do with AI. A self-hosted, open source server any tool plugs into over MCP or RE
Awesome MCP Servers - A curated list of Model Context Protocol servers
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
Nextcloud MCP Server
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
📦️ A fast, secure MCP server that extends its capabilities through WebAssembly plugins.
ContextLattice is the local-first control plane for long-horizon agent memory and coordination.
Universal memory layer for AI applications. Self-host in minutes. Open source.
A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP).
arifOS — Constitutional MCP kernel for governed AI execution. AAA trinity: AGI (Mind) · ASI (Heart) · APEX (Judge). Buil
Production-ready .NET 10 RAG library with hybrid vector + keyword search, multi-backend storage (SQLite, PostgreSQL, Neo
On-premises conversational RAG with configurable containers
Rust MCP framework for building AI agents
Self-learning memory for AI coding agents — MCP server
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/
From Java Dev to AI Engineer: Spring AI Fast Track
All-in-one platform for search, recommendations, RAG, and analytics offered via API
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
Portable AI runtime inspired by docker-compose. Compose agents, RAG pipelines, and MCP servers in one YAML file and run
Persistent local memory layer for AI. ArcRift uses a Chrome extension and a native MCP server to sync context and decisi
🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier