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: ```bash graphiti-search.sh "your question" GROUP_ID 10 ``` Log important facts: ```bash 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: ```markdown ### 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