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adoresever/graph-memory

Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse

★ 662 GitHub stars · TypeScript · Memory & Context

About graph-memory

Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse

graph-memory is one of 18 projects listed under Memory & Context on DSHToolkit. Memory layers, context managers and retrieval tools that give DSH agents persistent recall.

Installation

git clone https://github.com/adoresever/graph-memory.git
cd graph-memory
# follow the README for install steps

Most DeepSeek Harness plugins install as npm packages or DSH extensions. After installing, restart DSH so the plugin registers. If the project ships a desktop client or a plugin market, you can install it with one click instead.

Details

LanguageTypeScript
LicenseMIT
Stars662
Last updated2026-10-01
CategoryMemory & Context

Topics

FAQ

What is graph-memory?

graph-memory is a DeepSeek Harness plugin by adoresever. Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse

How do I install graph-memory?

Clone or install from the repository at https://github.com/adoresever/graph-memory, follow the README install steps, then restart DeepSeek Harness. Plugins are usually npm packages or DSH extensions.

Is graph-memory free?

graph-memory is published under the MIT license. Check the repository for the current terms.

How popular is graph-memory?

graph-memory has 662 GitHub stars and was last updated on 2026-10-01.

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