An active monitoring system that prevents AI context overflow by executing memory compaction and semantic state summarization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cognitive-compaction
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cognitive-compaction 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 Cognitive Compaction State Manager?
The Cognitive Compaction State Manager is a critical utility designed to manage the finite context window of AI agents. It acts as a circuit breaker that triggers when token utilization reaches a specific threshold, preventing 'Amnesia' or out-of-bounds failures during long-running tasks.
By temporarily suspending granular operations, this skill forces the agent to synthesize its current progress into a dense semantic summary. This ensures that the most important progress data is retained while unstructured logs are archived, allowing the agent to resume its primary objective with a fresh, optimized context.
Cognitive Compaction State Manager Use Cases
- Preventing token limit errors in long-running development or research sessions.
- Optimizing memory for complex, multi-step workflows that generate heavy log data.
- Ensuring state persistence when context windows are near capacity.
- Improving agent reliability by forcing periodic semantic summaries of completed work.
How Cognitive Compaction State Manager Works
- The system monitors the agent's current context and token utilization levels.
- When the threshold limit is reached, the primary task is suspended to prevent bloat.
- The agent generates a dense summary of operational steps, current achievements, and remaining tasks.
- A backend Python script is triggered to archive unstructured logs and swap in the new semantic summary.
- The agent resumes operations with a compacted state, maintaining full awareness of the goal without the overhead.
Cognitive Compaction State Manager Setup
To install the necessary dependencies for this skill, run the following command:
uv pip install pydantic
Ensure that you have python available in your system path as it is a required binary for the compaction scripts.
Cognitive Compaction State Manager Data Schema & Taxonomy
The skill manages state through a combination of semantic summaries and archived logs. The following structure is utilized:
| Component | Description |
|---|---|
| Current State | A dense, human-readable summary of progress and next steps. |
| Archived Logs | Unstructured operational history moved to backend storage to save tokens. |
| Compaction Script | flush_state.py handles the file swapping and state management. |
| Environment Variables | Uses OPENCLAW_SKILL_DIR to locate scripts and assets. |
Cognitive Compaction State Manager Advanced Features
- Automated failure prevention: Triggers before the LLM hits hard context limits.
- Backend Log Swapping: Seamlessly replaces verbose history with high-density semantic summaries.
- Amnesia Protection: Explicitly focuses on the overarching goal to ensure continuity after state flushing.
- Modular Scripting: Utilizes Python-based automation for reliable state persistence.
SKILL.md
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