Mindkeeper is a specialized summarization engine that converts daily AI agent activity and message logs into structured executive briefs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-mindkeeper
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-mindkeeper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Mindkeeper is a developer-centric tool within the Openclaw Skills ecosystem designed to solve the problem of information overload in AI workflows. It acts as a bridge between raw agent memory and human-readable clarity, processing daily markdown logs and SQLite message databases to generate concise summaries.
By leveraging this skill, developers and AI operators can quickly grasp highlights, critical decisions, and pending tasks from their agent's daily operations. Whether you are managing complex autonomous tasks or tracking multi-agent interactions, Mindkeeper ensures that no critical signal is lost in the noise of raw logs.
To get started with Mindkeeper as part of your Openclaw Skills toolkit, follow these steps:
# Install project dependencies
npm install
# Generate a text-based brief from a memory file
node src/index.js --date 2026-04-09 --memory-file ./tests/fixtures/2026-04-09.md --format text
# Generate an HTML report from the lossless-claw database
node src/index.js --date 2026-04-09 --use-lcm --lcm-db ~/.openclaw/lcm.db --session-key agent:main:main --format html --out ./output.html
# Run validation scripts
npm run validate
Mindkeeper organizes data by extracting specific attributes from the agent's operating environment. The following table describes the primary data points used:
| Attribute | Description |
|---|---|
| Date | The ISO 8601 date used to filter logs and memory files. |
| Brief Mode | Determines if the brief is hybrid (memory + DB) or lossless-only. |
| Signals | Categorized items: Highlights, Decisions, Open Loops, and Recommendations. |
| Session Key | A unique identifier used to isolate specific agent conversation threads. |
| Output Format | The target schema for the brief: plain text, HTML, or email-compliant EML. |
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