hybrid-memory

We use two memory systems integrated into a single view:

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Install skill "hybrid-memory" with this command: npx skills add clawdbrunner/openclaw-graphiti-memory/clawdbrunner-openclaw-graphiti-memory-hybrid-memory

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.

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

Optional flags:

  • [group_id] — Specify agent group (default: clawdbot-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:

~/clawd/scripts/graphiti-search.sh "your question" clawdbot-main 10

Log new facts (IMPORTANT):

~/clawd/scripts/graphiti-log.sh clawdbot-main user "Name" "Fact to remember"

QMD Only (Deep Document Search)

If you need more results or specific file filtering:

qmd search "query" -n 10

Recall Pattern

  • User asks question ("What was the plan for the project?")

  • Run Hybrid Search (~/clawd/scripts/memory-hybrid-search.sh "plan for the project" )

  • Synthesize Answer from both the temporal facts and document snippets found.

  • If needed: Use read to 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)

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