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 Ope...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 42/100. no security policy. 46 open issues make this testable, but not something to trust blind.
AI Agent
OpenClaw
Model
Multiple
Fastest way to find out if graph-memory belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/adoresever/graph-memory && cd graph-memory-2 && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf graph-memory-2No messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ graph-memory-2/ ← clones here
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
Source: GitHub repository
Source check: October 1, 2026
Upstream commit: October 1, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.