openclaw-memory-architecture
12-layer memory architecture for OpenClaw agents — knowledge graph (3K+ facts), semantic search (multilingual, 7ms GPU), continuity + stability + graph-memory plugins, activation/decay system, domain RAG. Agents reconstruct themselves from files on every boot.
Details
- Author
- coolmanns
- Category
- Translation
- Platform
- GitHub
- Framework
- custom
- Language
- python
- Stars
- 46
- First indexed
- 2026-05-15
- Last active
- 2026-03-09
- Directory sync
- 2026-05-15
Overview
12-layer memory architecture for OpenClaw agents — knowledge graph (3K+ facts), semantic search (multilingual, 7ms GPU), continuity + stability + graph-memory plugins, activation/decay system, domain RAG. Agents reconstruct themselves from files on every boot.
Quick start
git
git clone https://github.com/coolmanns/openclaw-memory-architectureSnippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.
What openclaw-memory-architecture can do
- Rag — Retrieves grounded context before answering.
- Multilingual — multilingual task automation.
Frequently asked questions
What is openclaw-memory-architecture?
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Is openclaw-memory-architecture open source?
What are alternatives to openclaw-memory-architecture?
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Source & freshness
Profile data for openclaw-memory-architecture is sourced from GitHub, published by coolmanns.
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