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daimon-memory
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daimon-memory

Active·★ 14·MIT·Updated 2026-08-12

Daimon-memory is a self-hostable memory backend for AI agents, storing typed records in PostgreSQL with Qdrant as a semantic index. It provides fast, cheap, and reproducible hybrid keyword + vector search recall without an LLM in the recall path.

#AI Agents#Memory#Persistence#Vector Database#Hybrid Search#PostgreSQL#Qdrant
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Guides
#LLM-free
$ Install
$ git clone https://github.com/wakbijok/daimon-memory && cd daimon-memory && ./install.sh --yes
↗ Visit site★ GitHub
01

Features

01Persistent and typed memory for AI agents
02Deterministic and LLM-free recall using hybrid keyword + vector search
03Self-hostable backend using PostgreSQL for canonical storage and Qdrant for semantic indexing
04Single-subject memory space shared across multiple AI tools
02

Compatibility

Rust
Runtime
Verified via docs
PostgreSQL
Database
Verified via docs
Qdrant
Vector Database
Verified via docs
Docker
Deployment
Verified via docs
Claude Code
Integration
Verified via docs
Hermes
Integration
Verified via docs
03

Quick start

1
$ git clone https://github.com/wakbijok/daimon-memory
2
$ cd daimon-memory
3
$ ./install.sh --yes
04

Use cases

↳Providing persistent, shared memory for AI agents across different tools.
↳Maintaining consistent personas and operating disciplines for AI agents.
↳Storing and retrieving AI agent decisions, lessons, incidents, and reminders.
↳Integrating memory capabilities with existing AI agent platforms like Claude Code, Codex, and Hermes.
05

Alternatives

⚡Top VS:
VSmcp-local-memory★60→VS3dcitydb-mcp-server★18→VSdakera-deploy★19→

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On this page
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wakbijok /
daimon-memory
↗

Shared, cross-tool memory and operating discipline for AI assistants. Deterministic recall, curated capture, one persona across Claude Code, Codex, and Hermes. Postgres + Qdrant, MCP + REST.

14MIT
Last commit2mo ago
StatusActive
CategoryMemory & Context
Links
Documentation↗Discussion↗Issues↗Releases↗
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