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@smyslenny/agent-memory-openclaw

v0.2.3

Published

AgentMemory native adapter plugin for OpenClaw

Readme

@smyslenny/agent-memory-openclaw

AgentMemory native adapter plugin for OpenClaw.

Automatically boots memories on session start and surfaces relevant memories into agent prompts — no manual MCP/cron orchestration needed.

Install

npm install @smyslenny/agent-memory-openclaw
# peer dependency
npm install @smyslenny/agent-memory

Configure

Add to your openclaw.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
  │
  ├── session_start ──→ BootManager ──→ boot()
  │
  ├── before_prompt_build ──→ SurfaceManager
  │                           ├── boot narrative (appendSystemContext)
  │                           ├── relevant memories (prependContext)
  │                           └── recordPassiveFeedback()
  │
  ├── agent_end ──→ RememberManager ──→ rememberMemory()
  │                 ├── conversation normalization
  │                 ├── threshold checks (turns, chars, cooldown)
  │                 └── provenance (session, context, timestamp)
  │
  └── before_reset ──→ clear all session caches
                         │
                         ▼
                   AgentMemory Core (v5.1+)

Requirements

  • OpenClaw v2026.3.x+
  • AgentMemory v5.1.0+
  • Node.js 20+

License

MIT