MCP server for persistent, semantic memory across AI sessions.
Graph-based memory system for LLMs with knowledge graphs and semantic search.
Distills your sessions or any text corpus into a dated history of how its subject changed.
Universal AI Memory - Sync context across Claude, VsCode, Cursor, Continue, Windsurf, Zed & more.
Persistent memory for AI agents — 98%+ retrieval recall, 99% token savings, 44 tools.
Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.
Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
Persistent memory MCP server. 28 tools, BM25+MMR+OOD retrieval, tamper-evident audit, code graph.
One memory, every AI: Claude, ChatGPT, Perplexity, Gemini, Cursor, OpenClaw, Hermes, any MCP client.
Governed AI-agent memory, Evidence Ledger traces, evals, and portable context tools.
Compresses AI chat sessions into a typed knowledge graph. Local/offline via Ollama.
MCP server for .NET memory profiling — in-process heap snapshots via EventPipe with leak heuristics.
Agent-agnostic memory backend that preserves continuity between humans and AI over time.
Neuro-symbolic memory for LLMs (POC).
Durable agentic memory, encrypted at rest. Fully offline: no network, no API key, no cloud.
Memori MCP server — persistent AI memory with recall and augmentation tools.
Add persistent memory to AI assistants. Store and recall info across conversations.
Structural codebase MCP server with persistent memory: navigate by symbol, recall across sessions.
Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.
Clarity and memory persistent workspace context manager for Claude.
Universal AI coding assistant memory — session handoff, SLM compression, and semantic retrieval.
Redis health, BullMQ queue monitoring, memory analysis, and slow query diagnostics.
Persistent memory for AI assistants with semantic search and knowledge graph relationships.
About Memory MCP servers
Memory servers solve the blank-slate problem: every new conversation starts without the context of the last one. They store facts, preferences and documents in a form the agent can recall, from simple local note stores to knowledge graphs and vector databases such as Chroma, Qdrant, Pinecone and Weaviate. Some index your own files; others manage a shared memory across tools and sessions.
Decide where memories live before you decide which server to use. Local servers keep everything on your machine, which is ideal for personal and sensitive context; hosted servers make memory available to every client you use. Look for servers that let you inspect, edit and delete what has been stored, and that separate retrieval tools from write tools.