Mindkeeper for Openclaw

Mindkeeper is a specialized summarization engine that converts daily AI agent activity and message logs into structured executive briefs.

asistent-alex
v1.0.0
May 2, 2026
0
649
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install openclaw-mindkeeper

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 openclaw-mindkeeper 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 Mindkeeper?

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.

Mindkeeper Use Cases

  • Automating the generation of daily progress reports from AI agent activities.
  • Consolidating scattered markdown notes into a structured decision log.
  • Extracting actionable next steps and open loops from extensive agent-user message histories.
  • Reviewing agent performance and architectural decisions via scheduled email briefs.

How Mindkeeper Works

  1. The skill ingests data from two primary sources: local markdown memory files and the lossless-claw SQLite database.
  2. It filters the input data based on a provided date and session key to isolate a specific 24-hour window of activity.
  3. A signal extraction layer identifies key categories such as highlights, decisions, and recommendations.
  4. The processed data is passed through a rendering engine to produce text, HTML, or .eml formatted output.
  5. The final brief is either saved to a local file, displayed in the terminal, or dispatched via integrated communication tools.

Mindkeeper Setup

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 Data Schema & Taxonomy

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.

Mindkeeper Advanced Features

  • Hybrid Data Sourcing: Combines unstructured markdown memory with structured SQLite message logs for a comprehensive overview.
  • Custom Prompting: Inject specific instructions to the summarization engine to focus on particular technical topics or naming conventions.
  • Email Integration: Built-in support for generating .eml files and integrating with nexlink for automated delivery.
  • Lossless-Claw Integration: Deep synchronization with lossless-claw for high-fidelity message recall.
  • Ranking Logic: Intelligent filtering to keep briefs concise even during days of high agent activity.

SKILL.md


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