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Claw Memory Manager

skill-songhonglei-better-agent-skills-claw-memory-manager · by Songhonglei

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Install

$ agentstack add skill-songhonglei-better-agent-skills-claw-memory-manager

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Security review

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Claw Memory Manager

  • Version: 1.1.0
  • License: MIT
  • Author: Evan Song · github.com/Songhonglei
  • Repository: https://github.com/Songhonglei/better-agent-skills

Manage OpenClaw Agent's built-in memory features through one safe CLI: enable/disable, tune parameters, preview with dry-run, auto-backup, and auto-restart.

What it does

OpenClaw Agent has two built-in memory features:

  1. Dreaming — scheduled job (default 03:00 local time) that scans your

daily memory signals, scores them, and auto-promotes high-recall items to long-term MEMORY.md.

  1. Active Memory — lightweight sub-agent that runs before every turn,

retrieves relevant memories, and injects them into the model context window for better recall.

Both require editing nested config trees, syncing to multiple paths in managed environments, and restarting the gateway. This skill does it all in one command, safely.

Supported features

| Feature | What | CLI flags | |---------|------|-----------| | dreaming | Light→REM→Deep three-phase memory consolidation | --half-life, --max-age, --timezone | | active-memory | Proactive memory injection with style presets | --style {conservative,balanced,aggressive} |

See references/features.md for full schema details.

Quick start — Dreaming

# Check OpenClaw support
python3 scripts/agent_memory.py check dreaming

# See current state
python3 scripts/agent_memory.py status dreaming

# Enable with defaults (half-life 30d, max-age 60d, timezone UTC)
python3 scripts/agent_memory.py enable dreaming

# Custom tuning
python3 scripts/agent_memory.py enable dreaming --half-life 14 --timezone America/New_York

# Preview only
python3 scripts/agent_memory.py enable dreaming --dry-run

# Disable
python3 scripts/agent_memory.py disable dreaming

Quick start — Active Memory

# Enable with default style (balanced)
python3 scripts/agent_memory.py enable active-memory

# Pick a style preset
python3 scripts/agent_memory.py enable active-memory --style conservative
python3 scripts/agent_memory.py enable active-memory --style aggressive

# Inspect current style + parameters
python3 scripts/agent_memory.py status active-memory

# Preview only
python3 scripts/agent_memory.py enable active-memory --style aggressive --dry-run

# Disable
python3 scripts/agent_memory.py disable active-memory

Active Memory style presets

| Style | Use case | queryMode | promptStyle | Context window | Inject cap | Timeout | Thinking | |-------|----------|-----------|-------------|----------------|------------|---------|----------| | conservative | Fastest, precision-focused | message | precision-heavy | user 1×120 / assist 0 | 150 chars | 8 s | off | | balanced (default) | Everyday use | recent | balanced | user 2×220 / assist 1×180 | 220 chars | 15 s | off | | aggressive | Best recall, larger context | full | recall-heavy | user 4×500 / assist 2×400 | 500 chars | 25 s | minimal |

Style is inferred back from queryMode when running status active-memory.

CLI flags

| Flag | Applies to | Purpose | Default | |------|-----------|---------|---------| | --half-life N | dreaming | Signal decay half-life (1-90 days) | 30 | | --max-age N | dreaming | Signal hard expiry (1-90 days) | 60 | | --timezone TZ | dreaming | IANA timezone for schedule | UTC | | --style NAME | active-memory | conservative / balanced / aggressive | balanced | | --dry-run | all | Print planned changes; do not write | off | | --no-backup | all | Skip *.bak. creation | off (backup on) | | --no-restart | all | Skip openclaw gateway restart after change | off (auto-restart on) |

Safety features

| Layer | Behavior | |-------|----------| | Auto-backup | Every write creates openclaw.json.bak. (use --no-backup to opt out) | | Dry-run | --dry-run prints exact JSON change + sync targets + restart action without touching disk | | Managed-env auto-detect | /app/clawconfig/ and /app/k8s-config/clawconfig/ auto-detected — synced if present, silently skipped if not | | Validation | Half-life and max-age ranges enforced (1-90); --style enforced by argparse choices | | Verify after write | Re-reads config to confirm change took effect before reporting success |

Configuration sources

The script reads/writes:

  1. Runtime config: ~/.openclaw/openclaw.json (or $OPENCLAW_CONFIG)
  2. Managed-environment mirrors (auto-detected, optional):
  • /app/clawconfig/openclaw.json (Pod restart source in K8s)
  • /app/k8s-config/clawconfig/openclaw.json (K8s ConfigMap source)

If you run OpenClaw locally (e.g. npm install -g openclaw on your laptop), only the runtime config exists and the script does the right thing automatically.

Why use this skill

Without this skill, enabling Active Memory requires:

  1. Reading the OpenClaw plugins config schema
  2. Editing nested JSON under plugins.entries.active-memory with 10+ fields
  3. Picking sensible defaults for queryMode / promptStyle / context windows
  4. Copying to 2 mirror paths (in K8s environments)
  5. Running openclaw gateway restart
  6. Manually verifying

This skill: one command + a style preset, with backup + dry-run + verify built in.

Extending to new memory features

Add a new entry to the FEATURES dict at the top of agent_memory.py:

FEATURES["my-feature"] = {
    "path": ["plugins", "entries", "my-plugin", "config"],
    "enable_patch": {"enabled": True, ...},
    "disable_patch": {"enabled": False},
    "check_key": "enabled",
    "status_key": "frequency",  # field shown in `status`
    "description": "What this feature does",
}

For features with preset-style choices (like active-memory), follow the ACTIVE_MEMORY_STYLES pattern and set supports_style: True in the entry.

Files

claw-memory-manager/
├── SKILL.md              ← agent entry point
├── README.md             ← this file
├── LICENSE               ← MIT
├── .gitignore
├── scripts/
│   └── agent_memory.py   ← single Python entry, zero external deps
└── references/
    └── features.md       ← feature catalog + schema reference

Changelog

v1.1.0 (2026-06-20)

  • Added active-memory feature with three style presets

(conservative / balanced / aggressive)

  • ✨ Added --style CLI flag (argparse-enforced choices)
  • status active-memory auto-detects current style by reverse-reading queryMode
  • ✨ Style preset details exposed in feature catalog
  • Aliases: existing dreaming-only flags unchanged; --style ignored (with warning) for dreaming

v1.0.0 (initial open-source release)

  • Dreaming feature: enable / disable / status / check
  • --half-life, --max-age, --timezone flags
  • Auto-backup, --dry-run, --no-restart, --no-backup
  • Auto-detect K8s mirror paths
  • Verify-after-write

See also

  • references/features.md — full feature catalog, config schemas, and extension guide
  • OpenClaw docs — platform reference

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.