memxt
Local-first long-term memory for AI coding agents
- session wake-up
- ~10 ms
- warm vector search
- <1 ms
- no Python or Docker
- 1 binary
The thesis
Your Agent Can Forget the Chat. It Should Not Forget the Work.
The fastest benchmarked open-source AI memory system — a single static binary that gives coding agents persistent, on-device memory across sessions. No cloud, no Python, nothing leaves your machine.
Built for: Developers who want coding agents to remember architecture, decisions, and working context across sessions without sending that memory to a cloud service.
What it changes
Complex Machinery, Direct Experience
Wake Up with Context
MCP tools and session hooks give an agent relevant project memory at the start of a session instead of another blank slate.
Keep Recall Out of the Way
A Zig binary, local embedding model, llama.cpp, and sqlite-vec keep semantic search fast enough to become invisible infrastructure.
Keep Decisions On-Device
Embeddings, storage, and search stay on the machine. There is no hosted vector database and no API key at query time.
Inside the product
