The memory layer for AI agents.
Memvid gives AI systems photographic memory in a single portable file.
It replaces complex RAG pipelines with a serverless, offline-capable memory format designed for fast retrieval and long-term persistence.
- A single
.mv2file that stores, indexes, and retrieves knowledge - Hybrid lexical and semantic search
- Low-latency queries suitable for agent loops
- Crash-safe persistence with write-ahead logging
- No external databases or cloud dependencies
- CLI, Python, and Node.js support
- Long-term memory for AI agents
- RAG applications without infrastructure overhead
- Knowledge bases and document search
- Local-first and privacy-sensitive AI systems
Website: https://memvid.com
Docs: https://docs.memvid.com
Explore the repositories in this organization for the core engine, SDKs, and examples.
Issues, discussions, and pull requests are welcome.