clawdbrunner/openclaw-graphiti-memory/skill

Claude Code and agent skill by clawdbrunner/openclaw-graphiti-memory

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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/skill

SKILL.md

Hybrid Memory System

We use two memory systems integrated into a single view:

  1. QMD (Vector Store): For retrieving documents, specs, and full content.
  2. 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.

bash
~/.openclaw/scripts/memory-hybrid-search.sh "your query"

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:

bash
~/.openclaw/scripts/graphiti-search.sh "your question" openclaw-main 10

Log new facts (IMPORTANT):

bash
~/.openclaw/scripts/graphiti-log.sh openclaw-main user "Name" "Fact to remember"
QMD Only (Deep Document Search)

If you need more results or specific file filtering:

bash
qmd search "query" -n 10

Recall Pattern

  1. User asks question ("What was the plan for the project?")
  2. Run Hybrid Search (~/.openclaw/scripts/memory-hybrid-search.sh "plan for the project")
  3. Synthesize Answer from both the temporal facts and document snippets found.
  4. If needed: Use read to get the full content of a file found in the QMD results.

When to Use Which

Question TypeUse
"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

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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