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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.

simplicio-loop

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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