The Universal Looping AI Orchestrator — a runtime-agnostic super-plugin (6 skills) that drains any queue of work end-to-end on any LLM/runtime.
Project description
simplicio-loop
The Universal Looping AI Orchestrator — a runtime-agnostic super-plugin (6 skills) that
drains any queue of work end-to-end on any LLM / runtime:
discover → implement → verify → merge → close → watch 24/7, behind safety gates and a hard cost
kill-switch, at up to 96% fewer tokens. Not a chatbot. A worker.
Install
pip install simplicio-loop
Then drop the skills + hooks into your project (or globally):
simplicio-loop install # into ./.claude of the current project
simplicio-loop install --global # into ~/.claude (all projects)
Now invoke it from your agent runtime (Claude Code, Cursor, Codex, Gemini, …):
/simplicio-tasks finish all the open issues
What you get — 6 skills
| Skill | What it does |
|---|---|
simplicio-tasks |
The orchestrator loop: discover → implement → verify → merge → close → watch 24/7. |
simplicio-loop |
Hardened Ralph loop — re-feed the goal until an evidence-gated <promise> or a cap. |
simplicio-orient |
Terminal-first token economy — output-reduction catalog, tee-cache, signatures-read. |
simplicio-review |
Adversarial review — parallel subagents on distinct rubrics, deduped into one verdict. |
simplicio-compress |
Output + memory compression, byte-preserving identifiers. |
simplicio-learn |
Retrospective — durable, deduped lessons written back to memory. |
Highlights
- 11 runtimes, one protocol — Claude Code, Codex, VS Code/Copilot, Cursor, Antigravity, Kiro, OpenCode, Gemini, Aider, Hermes, OpenClaw.
- Evidence-gated completion — never a false "done"; exits only on a verified
<promise>or a cap / budget / STOP. - Token economy — honest "answer concisely" baseline; savings credited only on verified-correct outcomes.
Requires Python 3.8+. The skills, hooks, and installer are pure cross-platform Python.
MIT — part of the Simplicio ecosystem. Full docs: https://github.com/wesleysimplicio/simplicio-loop
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