
Hybrid Memory
- 30 installs
- 638 repo stars
- Updated March 7, 2026
- sundial-org/awesome-openclaw-skills
Helps with ai & agent building tasks during AI-assisted development.
About
hybrid-memory is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- hybrid-memory
- AI & Agent Building
- AI-coding skill
Hybrid Memory by the numbers
- 30 all-time installs (skills.sh)
- Ranked #9,316 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 30 |
|---|---|
| repo stars | ★ 638 |
| Last updated | March 7, 2026 |
| Repository | sundial-org/awesome-openclaw-skills ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
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 10Log 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:
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"):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