clawdbrunner/openclaw-graphiti-memory/skill
Claude Code and agent skill by clawdbrunner/openclaw-graphiti-memory
- community
Checking that the SKILL.md file is still in the repository.
Hybrid memory strategy combining OpenClaw's built-in QMD vector memory with Graphiti temporal knowledge graph. Use for all memory recall requests.
Install
npx vskill@latest install clawdbrunner/openclaw-graphiti-memory/skillSKILL.md
Hybrid Memory System
We use two memory systems integrated into a single view:
- QMD (Vector Store): For retrieving documents, specs, and full content.
- Graphiti (Knowledge Graph): For retrieving facts, timelines, and relationships.
Primary Tool
For 95% of memory queries, use the hybrid search script. It queries both systems in parallel.
Optional flags:
[group_id]— Specify agent group (default:openclaw-main)--json— Output JSON for programmatic use
Specific Tools (Advanced)
Only use these if the hybrid script fails or you need granular control.
Graphiti Only (Temporal/Facts)
Search for specific temporal facts:
Log new facts (IMPORTANT):
QMD Only (Deep Document Search)
If you need more results or specific file filtering:
Recall Pattern
- User asks question ("What was the plan for the project?")
- Run Hybrid Search (
~/.openclaw/scripts/memory-hybrid-search.sh "plan for the project") - Synthesize Answer from both the temporal facts and document snippets found.
- If needed: Use
readto get the full content of a file found in the QMD results.
When to Use Which
| Question Type | Use | |
|---|---|---|
| "What's in GOALS.md?" | Hybrid search → read file | |
| "When did we discuss X?" | Hybrid search (Graphiti results) | |
| "What did I say last Tuesday?" | Graphiti direct | |
| "Find notes about architecture" | Hybrid search (QMD results) |
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskill/SKILL.md
Popularity
- Repository stars
- 70
- Repository forks
- 7
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 8 Apr 2026, 7 months ago.
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