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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": "voyage",
    "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

Setting	Purpose	Recommended
enabled	Turn on memory search	true
provider	Embedding provider	"voyage"
sources	What to index	["memory", "sessions"]
indexMode	When to index	"hot" (real-time)
minScore	Relevance threshold	0.3 (lower = more results)
maxResults	Max snippets returned	20

Provider Options

voyage — Voyage AI embeddings (recommended)
openai — OpenAI embeddings
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?

Voyage: Set VOYAGE_API_KEY in environment
OpenAI: Set OPENAI_API_KEY in environment
Use local provider if no API keys available

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": "voyage",
    "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. 🐘

Memory Setup