# Memoria > The World's First Git for AI Agent Memory. Snapshot, branch, merge, and rollback your AI agent's memory — persistent, version-controlled, and MCP-native. Memoria is open-source infrastructure (Apache-2.0) that gives AI agents a persistent, version-controlled memory layer. It is backed by MatrixOne's native Copy-on-Write engine and accelerated by NVIDIA cuVS for GPU-powered vector search. ## What Memoria Does - **Persistent Memory**: Memories survive across sessions. Agents never start from zero. - **Git-Level Version Control**: Every memory mutation is snapshotted. Branch, diff, merge, and rollback — for memory, not code. - **Cross-Agent Sharing**: One agent stores a memory; every MCP-compatible agent instantly shares it. - **Semantic Retrieval**: Hybrid vector + full-text search retrieves by meaning, not keywords. - **Self-Governance**: Automated contradiction detection, low-confidence quarantine, and deduplication. - **Full Auditability**: Complete provenance chain on every store, retrieve, and rollback. ## Key Metrics - ~70% token savings via precise recall instead of full-context injection - 12× GPU-accelerated index builds via NVIDIA cuVS (CAGRA algorithm) - 10× query throughput improvement over CPU baselines - 95% recall rate with sub-millisecond latency at scale - 5-minute setup via MCP configuration ## Supported Agents Kiro, Cursor, Claude Code, OpenAI Codex, Gemini CLI, OpenClaw, and any MCP-compatible agent. ## Memory Types Memoria supports six memory types with different granularity and lifecycle: - `semantic` — facts and knowledge - `profile` — user/agent preferences - `procedural` — workflows and instructions - `working` — short-lived session context - `tool_result` — cached tool outputs - `episodic` — past interaction records ## URLs - Homepage: https://thememoria.ai/ - App / Dashboard: https://thememoria.ai/app - GitHub (source): https://github.com/matrixorigin/Memoria - Quick Start: https://github.com/matrixorigin/Memoria#quick-start ## Contact - Email: memoria@matrixorigin.io