#persistent-memory

Knowledge graph-based persistent memory system

MCP persistent memory service that gives AI assistants long-term memory across sessions and projects. Powered by Qdrant vector search + Ollama/Gemini embedding with hybrid retrieval (vector + BM25). Features include: semantic memory save/search/forget, content deduplication via SHA-256, automatic sensitive data redaction, dual-shell architecture (MCP stdio + HTTP REST), Web Admin Panel with analytics, multi-user auth & API key management, and audit logging.

✨ mem0 MCP Server: A modern memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

Persistent codebase intelligence that gives agents memory across sessions.

MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!

Persistent memory for AI agents that survives across sessions. Store, recall, and semantically search memories. Includes loop detection that catches agents stuck repeating themselves, full audit trails, shared memory between agents, and a real-time dashboard. Works with Claude Code, Claude Desktop, and Cursor. Open source, free tier available.

One-line MCP config gives your AI agent persistent memory with automatic workflow rules. Unlike passive memory stores, Awareness teaches your agent WHEN to remember and recall — works across Claude Code, Cursor, Windsurf, Cline, Copilot and 7 more IDEs.

Persistent 4-layer memory (episodic, semantic, procedural, resource) backed by SQLite FTS5. Fact versioning, Snowball stemming (EN+RU), BM25 ranking. Zero-cloud, single-file database. 7 MCP tools.

Memory with integrity for AI coding agents. SAME tracks provenance, flags stale knowledge, and surfaces contradictions; so your AI trusts what's current, not what's outdated. 17 MCP tools: semantic search, cross-vault federation, session handoffs, decision logging, knowledge graph, trust-aware retrieval, consolidation, health analysis. Provenance on every write. Stale notes rank lower automatically. SQLite + vector search. Ollama, OpenAI, LM Studio, or keyword-only. One 12MB Go binary. No cloud, no API keys, no telemetry. Your notes never leave your machine. Claude Code, Cursor, Windsurf, Codex CLI, Gemini CLI, and any MCP client.

Open-source MCP server that gives Claude persistent memory. Your AI keeps your standards, decisions, and reasons across sessions. Recalled by meaning, not keywords. Runs fully local: on-device semantic search, no cloud, no API keys. macOS, Windows, Linux. MIT.

Persistent semantic memory for AI assistants, delivered over the Model Context Protocol. Save thoughts, documents, web pages, and PDFs to your brain once then recall them by meaning from Claude, ChatGPT, or any MCP-compatible client. One memory, every AI.

Self-learning memory for AI tools. Remembers user preferences and context across Claude, Cursor, and Codex — with multi-parameter forgetting and cross-tool identity.

Multi-platform AI memory. One save, recall everywhere—Claude, ChatGPT, Cursor, VS Code, and more. Persistent memory across AI conversations and clients.

Mirror of

Persistent memory API and MCP server for AI agents and workflows. Store, search, and retrieve memories with semantic search across Claude, ChatGPT, n8n, Zapier, Dify, and more. Built for developers who need reliable, long-term context for their AI applications.