Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Use --model default to clear cron model overrides (empty string silently ignored by OpenClaw CLI)
What This Skill Does
Memory architecture system for OpenClaw agents. Structures memory into purpose-specific files and installs nightly distillation and weekly synthesis cron jobs that route daily work into permanent knowledge. Sensitive features (voice profiling, git backup, infrastructure collection) are off by default and require explicit opt-in.
Automates knowledge compounding through scheduled cron jobs rather than relying on manual memory management or flat context files.
When to use it
- Setting up a new OpenClaw agent with organized memory from day one
- Stopping an agent from re-asking questions or re-learning preferences it already encountered
- Automatically backing up agent memory to git with secrets scrubbed before each push
- Reviewing how much an agent has learned over time using compound growth scores
- Recovering sub-agent work into the main memory pipeline via nightly distillation
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Set up memory architecture for my OpenClaw agent
- 1Runs `clawhub install opencortex` from the workspace root to download the skill
- 2Runs `bash skills/opencortex/scripts/install.sh` and selects optional features (vault, git backup)
- 3Installer creates the file hierarchy (SOUL.md, MEMORY.md, USER.md, memory/ subdirs) without overwriting existing files
- 4Cron jobs for nightly distillation (3 AM) and weekly synthesis (Sunday 5 AM) are registered
- 5Runs `bash skills/opencortex/scripts/verify.sh` to confirm files and cron jobs are active
Structured memory files in place, principles enforced, nightly and weekly cron jobs running, agent begins compounding knowledge each session
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.