hybrid-memory
✓Verified·Scanned 2/17/2026
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.
from clawhub.ai·v8d76a9f·2.2 KB·0 installs
Scanned from 1.0.1 at 8d76a9f · Transparency log ↗
$ vett add clawhub.ai/clawdbrunner/hybrid-memory
Hybrid Memory System
Two memory systems, each with different strengths. Use both.
When to Use Which
| Question Type | Tool | Example |
|---|---|---|
| Document content | memory_search | "What's in GOALS.md?" |
| Curated notes | memory_search | "What are our project guidelines?" |
| Temporal facts | Graphiti | "When did we set up Slack?" |
| Conversations | Graphiti | "What did the user say last Tuesday?" |
| Entity tracking | Graphiti | "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 agentuser-personal— User's personal context
Recall Pattern
When answering questions about past context:
- Temporal questions → Check Graphiti first
- Document questions → Use
memory_search - Uncertain → Try both, combine results
- 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