Memory & Knowledge MCP Servers for ChatGPT

Persistent knowledge system with OWL-RL reasoning and 22 MCP tools. Local-first.

MCP Server for Claude Code project memory - multi-block Core Memory (project/learnings/decisions) via Letta Cloud

A self-improving, verifiable memory layer for AI coding agents.

Team Project Memory skill for shared AI agent project knowledge, plus the ContextEngine MCP server

Universal AI memory layer - cross-client, cross-repo context management with RAG

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

Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.

Memory that knows when a remembered fact has been replaced, not just when it was written.

NotebookLM-quality document Q&A with per-passage citations via official Gemini File Search API. Upload docs, ask questions, get

Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option

MCP server + LLM-wiki skill for Trilium/TriliumNext Notes (Karpathy LLM-wiki methodology).

MCP server for vector search with Qdrant and Ollama embeddings

MCP Server for syncing Claude Code memories across devices via GitHub

Self-hosted agent continuity server with bounded, recoverable memory and restart orientation.

Standalone Confluence RAG MCP retrieval server backed by SQLite/sqlite-vec.

Persistent memory for AI agents — saves and searches knowledge across sessions

Bridge GitHub Copilot to claude-mem's observation database via MCP

Persistent memory for AI coding agents — MCP server for cross-session context

A local MCP memory server backed by markdown + JSON files, synced via git

Multi-layer agent-memory MCP server (working, episodic, semantic, procedural, affective) for Claude Code and any MCP client.

Git for your AI's context: local-first, deterministic memory over MCP. An elephant never forgets.