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
Cross-references: mentioned by 1 indexed plugin →
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 29 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.
Install and configure graph-memory
# try the package directly if it is published
npx graph-memory
# otherwise work from source
git clone https://github.com/adoresever/graph-memory.git
cd graph-memory
npm install
npm run build
This is a TypeScript project. If graph-memory is published on npm, npx is the fastest path. If it is not, build from source — most DSH plugins in this language expect a build step before the runtime can load them.
Configuration
// dsh.config.js — typical registration shape
export default {
plugins: [
// confirm the exact export name in the README before using this
{ name: "graph-memory" },
],
};
Registration shapes vary between plugins. The snippet above shows the common case — " copy the exact name from the README rather than trusting this example verbatim.
Is it the right choice?
- Choose it if you need exactly this narrow capability. At 662 stars it is a small project, so expect to read the source when something breaks.
- Licensing is MIT, which is permissive enough to vendor into a commercial product without a legal review.
- Stack: written in TypeScript, tagged claude-code, codex, deepseek, deepseek-harness. If your team does not work in that language, every fix becomes a research task.
Things that commonly go wrong
- Version drift. DSH is young and moves fast. A plugin that worked three months ago may target an API that has since changed. Check the last commit date before you plan around it.
- No sandbox guarantee. Plugins run with the runtime's permissions. Read the source of anything that touches your filesystem, shell or API keys before installing it.
- Single maintainer risk. Most projects here are one person's side work. That is fine for a utility, risky for infrastructure you depend on.
Star history
Recorded on 4 days. Over that window the project moved +0 stars (+0.0%).
| Window | Change |
|---|---|
| 2026-10-24 → 2026-10-25 | +0 |
| 2026-10-25 → 2026-10-26 | +0 |
| 2026-10-26 → 2026-10-28 | +0 |
These numbers are our own daily snapshots, not an estimate. A directory that only shows a single static star count hides whether a project is alive.
Details
| Language | TypeScript |
|---|---|
| License | MIT |
| Stars | 662 |
| Last updated | 2026-10-01 |
| Category | Memory & 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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