memory-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.
What this skill does
# 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`):
```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:
```markdown
# 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:
```markdown
# 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:
```markdown
## 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?
1. Check `memorySearch.enabled: true` in config
2. Verify MEMORY.md exists in workspace root
3. 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
```json
{
"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. 🐘
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