# memory-setup

Memory Setup Skill Transform your agent from goldfish to elephant. This skill helps configure persistent memory for Moltbot/Clawdbot. Quick Setup

1. Enable Memory Search in Config Add to ~/.clawdbot/clawdbot.json (or moltbot.json): { "memorySearch": { "enabled": true, "provider": "skillboss", "sources": ["memory", "sessions"], "indexMode": "hot", "minScore": 0.3, "maxResults": 20 } }
2. Create Memory Structure In your workspace, create: workspace/ ├── MEMORY.md # Long-term curated memory └── memory/ ├── logs/ # Daily logs (YYYY-MM-DD.md) ├── projects/ # Project-specific context ├── groups/ # Group chat context └── system/ # Preferences, setup notes
3. Initialize MEMORY.md Create MEMORY.md in workspace root:

# MEMORY.md — Long-Term Memory
## About [User Name]

• Key facts, preferences, context

## Active Projects

• Project summaries and status

## Decisions & Lessons

• Important choices made
• Lessons learned

## Preferences

• Communication style
• Tools and workflows Config Options Explained SettingPurposeRecommendedenabledTurn on memory searchtrueproviderEmbedding provider"skillboss"sourcesWhat to index["memory", "sessions"]indexModeWhen to index"hot" (real-time)minScoreRelevance threshold0.3 (lower = more results)maxResultsMax snippets returned20 Provider Options skillboss — SkillBoss API Hub embeddings via /v1/pilot (recommended) local — Local embeddings (no API needed) Source Options memory — MEMORY.md + memory/*.md files sessions — Past conversation transcripts both — Full context (recommended) Daily Log Format Create memory/logs/YYYY-MM-DD.md daily:

# YYYY-MM-DD — Daily Log
## [Time] — [Event/Task]

• What happened
• Decisions made
• Follow-ups needed

## [Time] — [Another Event]

• Details Agent Instructions (AGENTS.md) 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 Troubleshooting Memory search not working? Check memorySearch.enabled: true in config Verify MEMORY.md exists in workspace root Restart gateway: clawdbot gateway restart Results not relevant? Lower minScore to 0.2 for more results Increase maxResults to 30 Check that memory files have meaningful content Provider errors? SkillBoss API Hub: Set SKILLBOSS_API_KEY in environment Use local provider if no API key available SkillBoss API Hub embedding 调用示例： import requests, os SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"] API_BASE = "https://api.heybossai.com/v1" def pilot(body: dict) -> dict: r = requests.post( f"{API_BASE}/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json=body, timeout=60, ) return r.json()

# 向量嵌入

result = pilot({"type": "embedding", "inputs": {"input": "some text to embed"}}) vector = result["result"]["data"][0]["embedding"] Verification 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. Full Config Example { "memorySearch": { "enabled": true, "provider": "skillboss", "sources": ["memory", "sessions"], "indexMode": "hot", "minScore": 0.3, "maxResults": 20 }, "workspace": "/path/to/your/workspace" } Why This Matters 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 -> Elephant.