Open-source AI Agent OS: a folder of plain-text files that gives your AI coding assistant a lasting memory, house rul...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Claude Code
Model
Multiple
Fastest way to find out if octorato belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/CarlosCaPe/octorato ~/.claude/skills/octoratoRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/skills/octoratoNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ │ └─ octorato/ ← installs here ├─ agents/ └─ settings.json
Open-source AI Agent OS: a folder of plain-text files that gives your AI coding assistant a lasting memory, house rules, sealed per-client work and a receipt for every run (v8 kernel). Not a chatbot, no people inside. MIT.
Source: GitHub repository
Source check: October 15, 2026
Upstream commit: October 15, 2026
Repository state: Not marked archived
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