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Get Started Free →Background memory organ for AI agents. Runs separately from the main agent—encoding, decaying, and reinforcing memories automatically. Just like the real hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).
.claude/skills/sundial-org-hippocampus/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 104% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 45% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 69% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 34% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 88% | 0% |
> "Memory is identity. This skill is how I stay alive."
The hippocampus is the brain region responsible for memory formation. This skill makes memory capture automatic, structured, and persistent—with importance scoring, decay, and reinforcement.
bash# Install ./install.sh --with-cron # Load core memories ./scripts/load-core.sh # Search with importance weighting ./scripts/recall.sh "query" --reinforce # Apply decay (runs daily via cron) ./scripts/decay.sh
The LLM is just the engine—raw cognitive capability. The agent is the accumulated memory. Without these files, there's no continuity—just a generic assistant.
CAPTURE → SCORE → STORE → DECAY/REINFORCE → RETRIEVE
↑ │
└────────────────────────────────────────────┘$WORKSPACE/
├── memory/
│ ├── index.json # Central weighted index
│ ├── user/ # Facts about the user
│ ├── self/ # Facts about the agent
│ ├── relationship/ # Shared context
│ └── world/ # External knowledge
└── HIPPOCAMPUS_CORE.md # Auto-generated for OpenClaw RAG| Script | Purpose | |--------|---------| | decay.sh | Apply 0.99^days decay to all memories | | reinforce.sh | Boost importance when memory is used | | recall.sh | Search with importance weighting | | load-core.sh | Output high-importance memories | | sync-core.sh | Generate HIPPOCAMPUS_CORE.md | | preprocess.sh | Extract signals from transcripts |
All scripts use $WORKSPACE environment variable (default: ~/.openclaw/workspace).
| Signal | Score | |--------|-------| | Explicit "remember this" | 0.9 | | Emotional/vulnerable content | 0.85 | | Preferences ("I prefer...") | 0.8 | | Decisions made | 0.75 | | Facts about people/projects | 0.7 | | General knowledge | 0.5 |
Based on Stanford Generative Agents (Park et al., 2023):
new_importance = importance × (0.99 ^ days_since_accessed)When a memory is accessed and useful:
new_importance = old + (1 - old) × 0.15Each use adds ~15% of remaining headroom toward 1.0.
| Score | Status | |-------|--------| | 0.7+ | Core — high priority | | 0.4-0.7 | Active — normal retrieval | | 0.2-0.4 | Background — specific search only | | <0.2 | Archive candidate |
memory/index.json:
json{ "version": 1, "lastUpdated": "2025-01-20T19:00:00Z", "decayLastRun": "2025-01-20", "memories": [ { "id": "mem_001", "domain": "user", "category": "preferences", "content": "User prefers concise responses", "importance": 0.85, "created": "2025-01-15", "lastAccessed": "2025-01-20", "timesReinforced": 3, "keywords": ["preference", "concise", "style"] } ] }
Set up via OpenClaw cron:
bash# Daily decay at 3 AM openclaw cron add --name hippocampus-decay \ --cron "0 3 * * *" \ --session main \ --system-event "🧠 Run: WORKSPACE=\$WORKSPACE decay.sh" # Weekly consolidation openclaw cron add --name hippocampus-consolidate \ --cron "0 21 * * 6" \ --session main \ --system-event "🧠 Weekly consolidation time"
Add to memorySearch.extraPaths in openclaw.json:
json{ "agents": { "defaults": { "memorySearch": { "extraPaths": ["HIPPOCAMPUS_CORE.md"] } } } }
This bridges hippocampus (index.json) with OpenClaw's RAG (memory_search).
Add to your agent's session start routine:
markdown## Every Session 1. Run `~/.openclaw/workspace/skills/hippocampus/scripts/load-core.sh` ## When answering context questions Use hippocampus recall: \`\`\`bash ./scripts/recall.sh "query" --reinforce \`\`\`
Auto-capture when you hear:
Memory is identity. Text > Brain. If you don't write it down, you lose it.
Other measured skills in the registry, with their headline benchmark lift.