skills$openclaw/hybrid-memory
clawdbrunner4.5k

by clawdbrunner

hybrid-memory – OpenClaw Skill

hybrid-memory is an OpenClaw Skills integration for writing workflows. Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), or search memory files. Provides decision framework for when to use memory_search vs Graphiti.

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Updated Feb 7, 2026Created Feb 7, 2026writing

Skill Snapshot

namehybrid-memory
descriptionHybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), or search memory files. Provides decision framework for when to use memory_search vs Graphiti. OpenClaw Skills integration.
ownerclawdbrunner
repositoryclawdbrunner/hybrid-memory
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @clawdbrunner/hybrid-memory
last updatedFeb 7, 2026

Maintainer

clawdbrunner

clawdbrunner

Maintains hybrid-memory in the OpenClaw Skills directory.

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SKILL.md

name: hybrid-memory description: Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), or search memory files. Provides decision framework for when to use memory_search vs Graphiti.

Hybrid Memory System

Two memory systems, each with different strengths. Use both.

When to Use Which

Question TypeToolExample
Document contentmemory_search"What's in GOALS.md?"
Curated notesmemory_search"What are our project guidelines?"
Temporal factsGraphiti"When did we set up Slack?"
ConversationsGraphiti"What did the user say last Tuesday?"
Entity trackingGraphiti"What projects involve Alice?"

Quick Reference

memory_search (Built-in)

Semantic search over markdown files (MEMORY.md, memory/**/*.md).

memory_search query="your question"

Then use memory_get to read specific lines if needed.

Graphiti (Temporal)

Search for facts with time awareness:

graphiti-search.sh "your question" GROUP_ID 10

Log important facts:

graphiti-log.sh GROUP_ID user "Name" "Fact to remember"

Common group IDs:

  • main-agent — Primary agent
  • user-personal — User's personal context

Recall Pattern

When answering questions about past context:

  1. Temporal questions → Check Graphiti first
  2. Document questions → Use memory_search
  3. Uncertain → Try both, combine results
  4. Low confidence → Say you checked but aren't sure

AGENTS.md Template

Add to your AGENTS.md:

### Memory Recall (Hybrid)

**Temporal questions** ("when?", "what changed?", "last Tuesday"):
```bash
graphiti-search.sh "query" main-agent 10

Document questions ("what's in X?", "find notes about Y"):

memory_search query="your query"

When answering past context: check Graphiti for temporal, memory_search for docs.


## Setup

Full setup guide: https://github.com/clawdbrunner/openclaw-graphiti-memory

**Part 1: OpenClaw Memory** — Configure embedding provider (Gemini recommended)
**Part 2: Graphiti** — Deploy Docker stack, install sync daemons
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install hybrid-memory?

Run openclaw add @clawdbrunner/hybrid-memory in your terminal. This installs hybrid-memory into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/clawdbrunner/hybrid-memory. Review commits and README documentation before installing.