A robust 3-layer memory architecture designed to automate long-term context retention and daily activity logging for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install talonforge-memory
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 talonforge-memory 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 AI Memory System?
The AI Memory System skill implements the professional-grade memory architecture inspired by the Zero-Human Company playbook. It solves the problem of context loss in AI agents by creating a structured, multi-tiered persistence layer. By integrating this into Openclaw Skills, your AI gains the ability to manage its own long-term knowledge, ensuring that user preferences, critical decisions, and lessons learned survive across multiple sessions and system restarts.
This system effectively bridges the gap between ephemeral chat history and a permanent knowledge base. It utilizes a combination of central documentation, chronological daily logs, and automated synthesis to keep the AI's understanding of the user and the project sharp and up-to-date.
AI Memory System Use Cases
- Preserving developer preferences and coding styles across different projects.
- Tracking architectural decisions and project milestones to maintain a clear audit trail.
- Automating the extraction of durable facts from daily interactions without manual note-taking.
- Building a self-evolving personal knowledge management system that grows with your work.
How AI Memory System Works
- The user initiates the setup by instructing the AI to initialize the memory architecture.
- The system creates a MEMORY.md file which serves as the curated repository for long-term wisdom and user-specific rules.
- A dedicated directory is established to house daily log files that capture raw, chronological data.
- A nightly cron job is scheduled to review the day's conversations and extract relevant facts.
- The AI automatically synthesizes these facts to update the central long-term memory while maintaining the daily logs for historical reference.
AI Memory System Setup
After installing this skill, simply tell your AI: "Set up the memory system." The agent will handle the directory creation and file templating. For manual configuration of the extraction job via the CLI, you can use the following command structure compatible with Openclaw Skills:
openclaw cron add \
--name "nightly-extraction" \
--cron "0 23 * * *" \
--tz "[YOUR_TIMEZONE]" \
--session isolated \
--message "Review today's conversations. Extract durable facts (relationships, decisions, status changes, milestones). Skip small talk. Update memory/YYYY-MM-DD.md with timeline. Update MEMORY.md with new patterns or preferences." \
--announce
AI Memory System Data Schema & Taxonomy
The system organizes data using a clear hierarchy to distinguish between raw data and synthesized wisdom:
| Data Component | Location | Frequency | Details |
|---|---|---|---|
| Long-Term Memory | MEMORY.md |
Continuous/Weekly | Stores user bio, hard rules, working styles, and key decisions. |
| Daily Logs | memory/YYYY-MM-DD.md |
Daily | Captures timestamps, key events, and pending follow-up items. |
| Extraction Logic | Cron Job | Nightly | The automated process that moves facts from logs to long-term memory. |
AI Memory System Advanced Features
- Automated nightly extraction using isolated execution sessions to maintain consistency.
- Intelligent pattern recognition to observe and update user working styles over time.
- Non-destructive record keeping where facts are superseded rather than deleted to maintain history.
- Seamless workflow integration that allows the AI to self-manage its metadata and taxonomy within Openclaw Skills.
SKILL.md
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