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12 changes: 11 additions & 1 deletion README.md
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**Persistent typed memory for AI agents. Deterministic, LLM-free recall across every tool.**

![status](https://img.shields.io/badge/status-experimental-orange) ![license](https://img.shields.io/badge/license-MIT-blue) ![rust](https://img.shields.io/badge/rust-edition%202024-orange)
![status](https://img.shields.io/badge/status-status%20quo-lightgrey) ![license](https://img.shields.io/badge/license-MIT-blue) ![rust](https://img.shields.io/badge/rust-edition%202024-orange)

</div>

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## Project status

**Status quo.** daimon-memory is not receiving primary development focus right now.

Its successor is **[dm-lite](https://github.com/wakbijok/dm-lite)** (daimon-memory v2): one binary, hybrid keyword + vector recall, and the shared memory engine for Hermes, Codex, Claude Code, and other agents. New AI memory work is focused there.

The future of this repository is undecided. It remains available and usable as documented below. If you are starting fresh, prefer dm-lite.

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## What it is

daimon-memory is a self-hostable memory backend for AI agents. It stores typed records (decisions, lessons, incidents, reminders, and more) in PostgreSQL as the canonical source, with Qdrant as a rebuildable semantic index. Recall is hybrid keyword + vector search fused by Reciprocal Rank Fusion -- no LLM in the recall path, so it is fast, cheap, and reproducible.
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