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engram

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Domain-driven memory for AI agents.

Data & Analytics#memory#domain#knowledge-graph#decay#heartbeat#dedup#qmd
Authorqwexs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Solve the challenge of scalable, durable AI memory by providing a three-layer memory architecture with per-session notes, a Knowledge Graph, and curated long-term memory.

Core Features & Use Cases

  • Three-layer memory architecture (MEMORY.md, life/, memory/) for durable, organized knowledge
  • Knowledge Graph (life/) with flat three-folder structure (people/projects/archives) and per-entity summaries/items.json
  • QMD hybrid search (BM25 + vectors + rerank) for fast, relevant querying across memory layers
  • Heartbeat automation (extraction, synthesis, domain scans, maintenance) to keep knowledge fresh
  • Domain-based subagents with persistent memory and PROPOSAL workflow
  • Real-time inline extraction and conservative dedup and conflict checks
  • Memory decay and rotation mechanisms to surface durable knowledge over time

Quick Start

Install QMD, initialize Engram, and add a session to begin using Engram.

Dependency Matrix

Required Modules

None required

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: engram
Download link: https://github.com/qwexs/engram/archive/main.zip#engram

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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