Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Transform your agent from goldfish to elephant. This skill helps configure persistent memory for Moltbot/Clawdbot.
Add to ~/.clawdbot/clawdbot.json (or moltbot.json): { "memorySearch": { "enabled": true, "provider": "voyage", "sources": ["memory", "sessions"], "indexMode": "hot", "minScore": 0.3, "maxResults": 20 } }
In your workspace, create: workspace/ โโโ MEMORY.md # Long-term curated memory โโโ memory/ โโโ logs/ # Daily logs (YYYY-MM-DD.md) โโโ projects/ # Project-specific context โโโ groups/ # Group chat context โโโ system/ # Preferences, setup notes
SettingPurposeRecommendedenabledTurn on memory searchtrueproviderEmbedding provider"voyage"sourcesWhat to index["memory", "sessions"]indexModeWhen to index"hot" (real-time)minScoreRelevance threshold0.3 (lower = more results)maxResultsMax snippets returned20
voyage โ Voyage AI embeddings (recommended) openai โ OpenAI embeddings local โ Local embeddings (no API needed)
memory โ MEMORY.md + memory/*.md files sessions โ Past conversation transcripts both โ Full context (recommended)
Add to your AGENTS.md for agent behavior: ## Memory Recall Before answering questions about prior work, decisions, dates, people, preferences, or todos: 1. Run memory_search with relevant query 2. Use memory_get to pull specific lines if needed 3. If low confidence after search, say you checked
Check memorySearch.enabled: true in config Verify MEMORY.md exists in workspace root Restart gateway: clawdbot gateway restart
Lower minScore to 0.2 for more results Increase maxResults to 30 Check that memory files have meaningful content
Voyage: Set VOYAGE_API_KEY in environment OpenAI: Set OPENAI_API_KEY in environment Use local provider if no API keys available
Test memory is working: User: "What do you remember about [past topic]?" Agent: [Should search memory and return relevant context] If agent has no memory, config isn't applied. Restart gateway.
{ "memorySearch": { "enabled": true, "provider": "voyage", "sources": ["memory", "sessions"], "indexMode": "hot", "minScore": 0.3, "maxResults": 20 }, "workspace": "/path/to/your/workspace" }
Without memory: Agent forgets everything between sessions Repeats questions, loses context No continuity on projects With memory: Recalls past conversations Knows your preferences Tracks project history Builds relationship over time Goldfish โ Elephant. ๐
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