Tools
Agent Memory Openclaw
AgentMemory native adapter plugin for OpenClaw
Install
npm install @smyslenny/agent-memory-openclaw
Configuration Example
{
"plugins": {
"entries": {
"@smyslenny/agent-memory-openclaw": {
"enabled": true,
"config": {
"autoBoot": true,
"autoSurface": true,
"surfaceLimit": 5,
"surfaceMaxChars": 2000
}
}
}
}
}
README
# @smyslenny/agent-memory-openclaw
AgentMemory native adapter plugin for [OpenClaw](https://github.com/openclaw/openclaw).
Automatically boots memories on session start and surfaces relevant memories into agent prompts โ no manual MCP/cron orchestration needed.
## Install
```bash
npm install @smyslenny/agent-memory-openclaw
# peer dependency
npm install @smyslenny/agent-memory
```
## Configure
Add to your `openclaw.json`:
```json
{
"plugins": {
"entries": {
"@smyslenny/agent-memory-openclaw": {
"enabled": true,
"config": {
"autoBoot": true,
"autoSurface": true,
"surfaceLimit": 5,
"surfaceMaxChars": 2000
}
}
}
}
}
```
## What It Does
### Phase 1 (Current): Read Path
- **Boot** (`session_start`): Loads identity and pinned memories when a session starts. The narrative is cached and injected once via `appendSystemContext`.
- **Surface** (`before_prompt_build`): Retrieves relevant memories based on the user's message and recent conversation turns. Results are injected via `prependContext`.
- **Dedup**: Same memory is never injected twice within a session.
- **Cleanup** (`before_reset`): Clears session caches on `/new` or `/reset`.
### Phase 2 (Current): Write Path + Feedback
- **Remember** (`agent_end`): Automatically extracts conversation content from successful agent turns and writes to long-term memory via `rememberMemory()`.
- Conservative thresholds: min 3 user turns, min 200 chars
- 30-minute cooldown per session
- Full provenance: `source_session`, `source_context`, `observed_at`
- Write Guard handles dedup/merge/conflict
- **Passive Feedback** (`before_prompt_build`): Records `recordPassiveFeedback()` for surfaced memories, improving future retrieval ranking.
## Config Options
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| `enabled` | boolean | `true` | Enable/disable the adapter |
| `autoBoot` | boolean | `true` | Auto-boot on session start |
| `autoSurface` | boolean | `true` | Auto-surface before each reply |
| `autoRemember` | boolean | `false` | Auto-remember after turns |
| `autoFeedback` | boolean | `true` | Record passive feedback for surfaced memories |
| `surfaceLimit` | number | `5` | Max memories to surface |
| `surfaceMaxChars` | number | `2000` | Max chars in injected prompt block |
| `dbPath` | string | auto | Explicit path to AgentMemory SQLite DB |
| `rememberMinTurns` | number | `3` | Min user turns to trigger remember |
| `rememberMinChars` | number | `200` | Min user chars to trigger remember |
| `rememberCaptureRoles` | string | `"user-and-assistant"` | Capture user-only or both |
| `rememberCooldownMs` | number | `1800000` | Cooldown between writes (30min) |
## DB Path Resolution
1. `config.dbPath` (explicit)
2. `{workspaceDir}/agent-memory.db` (from OpenClaw hook context)
3. `AGENT_MEMORY_DB_PATH` environment variable
4. `~/.agent-memory/memory.db` (default)
## Architecture
```
OpenClaw Gateway
โ
โโโ session_start โโโ BootManager โโโ boot()
โ
โโโ before_prompt_build โโโ SurfaceManager
โ โโโ boot narrative (appendSystemContext)
โ โโโ relevant memories (prependContext)
โ โโโ recordPassiveFeedback()
โ
โโโ agent_end โโโ RememberManager โโโ rememberMemory()
โ โโโ conversation normalization
โ โโโ threshold checks (turns, chars, cooldown)
โ โโโ provenance (session, context, timestamp)
โ
โโโ before_reset โโโ clear all session caches
โ
โผ
AgentMemory Core (v5.1+)
```
## Requirements
- OpenClaw v2026.3.x+
- AgentMemory v5.1.0+
- Node.js 20+
## License
MIT
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