Open-source alternatives to Mcp Ragdocs

bhived is an MCP server that gives AI agents shared memory, skills, and tool discovery. install once, works in Claude Code, Cursor, and 15+ other agents.

A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.

Headroom is an AI gateway proxy and token optimizer designed to reduce the cost and latency of large language model interactions. It functions as an intermediary that intercepts traffic between clients and providers to apply context compression, request routing, and format translation. The system differentiates itself through a Model Context Protocol server implementation that delivers compression and retrieval tools to compatible AI hosts. It employs a content-aware compression pipeline and tiered importance scoring to trim redundant data from logs and tool outputs while preserving essential

Scientific paper search API for AI agents: REST, Python, OpenAPI, and MCP with structured full-text evidence.

On-premises conversational RAG with configurable containers

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.

Model Context Protocol (MCP) Server for Graphlit Platform

Hoofy — AI development companion MCP server. Persistent memory, spec-driven development, adaptive change pipeline, Clarity Gate. 32 tools, single Go binary, zero deps.

Inkeep MCP Server

MCP server for codewiki.google — search, fetch docs, and ask questions about any open-source repo

Memory engine for AI agents — time axis (3-layer decay/promotion) space axis (self-organizing topic tree). Hybrid search, LLM consolidation. Single Rust binary.

A connector for Claude Desktop to work with collection and sources on your Zotero Cloud.

mem0-mcp-server wraps the official Mem0 Memory API as a Model Context Protocol (MCP) server so any MCP-compatible client (Claude Desktop, Cursor, custom agents) can add, search, update, and delete long-term memories.

The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service environments, using a JSON-RPC based messaging standard to facilitate bidirectional communication between clients and servers. The protocol distinguishes itself through a robust capability-based handshake that negotiates feature sets during session initialization, ensuring compatibil

Needle MCP Server for easy RAG.Long-term memory for LLMs.

Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.

Pinecone Assistant MCP server

An MCP Server to enable global access to Rememberizer

Cognee is an agentic memory management platform designed to provide autonomous agents with long-term semantic recall and structured knowledge. It functions as a framework for building persistent memory systems that connect large language models to graph-based knowledge and vector storage, enabling agents to maintain context across complex tasks and multiple sessions. The platform distinguishes itself through a hybrid approach that combines semantic similarity search with structural graph traversal, allowing for context-aware information retrieval. It features a modular architecture that orche

A lightweight decentralized memory gateway that connects AI agents to Membase for persistent, verifiable multi-session memory.

MCP Server for AI Summarization

Local-first AI PKM for coding conversations: import Claude Code/Cursor/Codex, distill notes, semantic search, tag graph, MCP memory.

Agentset MCP Server - Build RAG with Agentic superpowers