ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified productivity Safety 4/5

org-memory

Structured knowledge base and task management using org-mode files. Query, mutate, link, and search org files and org-roam databases with the `org` CLI.

Why use this skill?

Enhance your OpenClaw agent with org-memory to manage tasks and notes. Automate scheduling, link knowledge, and build a powerful org-mode base directly.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/dcprevere/org-memory
Or

What This Skill Does

The org-memory skill provides OpenClaw with the ability to interface directly with org-mode files and an org-roam database. By utilizing a specialized org CLI, the agent acts as a persistent assistant that manages task lists, captures notes, and builds a searchable knowledge graph. It supports structured data entries including TODO states, deadlines, scheduling, and properties, effectively turning plain-text org files into a high-powered personal information manager (PIM) that the agent can read from and mutate on behalf of the user.

Installation

To integrate this skill into your OpenClaw environment, use the installation command via your terminal: clawhub install openclaw/skills/skills/dcprevere/org-memory

Ensure that the environment variables $ORG_MEMORY_HUMAN_DIR and $ORG_MEMORY_AGENT_DIR are properly configured in your system settings, as these paths determine where human-focused tasks and agent-specific recall data are stored.

Use Cases

This skill is ideal for users who rely on org-mode for productivity and knowledge management. Key use cases include:

  • Automated task management: The agent can ingest casual requests and convert them into scheduled or deadline-bound entries in your inbox.
  • Knowledge Retrieval: Use the agent to query your notes to find information related to specific projects or topics stored in your org-roam database.
  • Capturing Context: Quickly "dump" thoughts into your system during a conversation so they aren't forgotten, knowing the agent will structure them correctly.

Example Prompts

  1. "Todo: Finish the quarterly report by next Friday."
  2. "Note: Remind me to call the insurance agent about the claim tomorrow."
  3. "Know: The primary API endpoint for the staging environment is https://api.staging.internal.com."

Tips & Limitations

To get the best results, be specific with your language regarding dates. While the agent is capable of parsing relative dates like 'next month' or 'in 3 weeks', providing clear deadlines helps the skill accurately select between --scheduled and --deadline flags. Remember that Todo is treated as a actionable task, whereas Note is a catch-all for information. Keep your org-mode syntax clean, as the skill relies on standard header formats for its operations. This skill does not support complex LaTeX exports or advanced org-babel evaluation; it is strictly focused on structured task and knowledge lifecycle management.

Metadata

Author@dcprevere
Stars2387
Views0
Updated2026-03-09
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-dcprevere-org-memory": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#org-mode#productivity#task-management#knowledge-graph#personal-assistant
Safety Score: 4/5

Flags: file-write, file-read