Memory Manager for Openclaw

A professional-grade local memory architecture for AI agents utilizing a three-tier system to prevent context loss and optimize knowledge retrieval.

onlyloveher
v1.0.0
Mar 21, 2026
0
676
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install memory-manager-clawd

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install memory-manager-clawd using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Memory Manager?

Memory Manager is a sophisticated local memory management solution designed specifically for AI agents within the Openclaw Skills ecosystem. By implementing a structured semantic, procedural, and episodic memory pattern, it moves beyond inefficient flat-file storage to a system that improves retrieval accuracy by up to 18.5%. It ensures that agents never lose critical context by monitoring compression risks and providing automated snapshotting.

This skill provides a human-readable, 100% local architecture that requires no external dependencies or API costs. It allows agents to distinguish between what happened (episodic), what they know (semantic), and how to perform tasks (procedural), resulting in a more grounded and capable digital identity.

Memory Manager Use Cases

  • Detecting memory compression risks before critical context is lost during long agent sessions.
  • Organizing flat memory logs into structured knowledge bases for better long-term recall.
  • Searching historical agent actions and events using time-based episodic retrieval.
  • Documenting and retrieving complex step-by-step workflows through procedural memory.
  • Maintaining data privacy by keeping all agent memories and identity markers on local hardware.

How Memory Manager Works

  1. The system initializes a dedicated directory structure consisting of episodic, semantic, procedural, and snapshot folders.
  2. Agents log raw chronological events into the episodic memory tier on a daily basis.
  3. The organization engine parses these logs to extract distilled facts for semantic memory and reusable workflows for procedural memory.
  4. A detection script constantly monitors file sizes and context usage to provide safety alerts (Safe, Warning, or Critical).
  5. When thresholds are met, the system triggers automated snapshots to preserve state before memory pruning or compression occurs.
  6. High-speed local scripts allow for targeted searching across specific memory tiers or the entire knowledge base.

Memory Manager Setup

Installation

Initialize the structured memory environment using the provided setup script:

~/.openclaw/skills/memory-manager/init.sh

Integration

To automate memory health checks, add the following to your agent's heartbeat or crontab:

# Check for compression risks every 2 hours
~/.openclaw/skills/memory-manager/detect.sh

# Run daily organization and migration at 23:00
~/.openclaw/skills/memory-manager/organize.sh

Memory Manager Data Schema & Taxonomy

The skill organizes data into a hierarchical file-based taxonomy for maximum transparency:

Directory Memory Type Description
memory/episodic/ Episodic Chronological daily event logs (e.g., YYYY-MM-DD.md)
memory/semantic/ Semantic Distilled facts, concepts, and topical knowledge
memory/procedural/ Procedural Step-by-step guides and reusable process workflows
memory/snapshots/ Snapshots Backups generated during critical compression events
memory/legacy/ Legacy Original flat files preserved after migration

Memory Manager Advanced Features

  • Multi-tier memory categorization to separate events from reusable logic.
  • Automated compression detection with visual status indicators (Safe/Warning/Critical).
  • Semantic search capabilities across different memory types using optimized local scripts.
  • Manual categorization overrides via CLI for precise knowledge management.
  • Migration tools to safely transition legacy flat-file memories into the structured Openclaw Skills format.
  • Detailed usage statistics to track memory growth rates and compression event history.

SKILL.md


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