simplicio-loop 3.23.0

The Universal Looping AI Orchestrator — a runtime-agnostic super-plugin (7 skills) that drains any queue of work end-to-end on any LLM/runtime.

simplicio-loop

The Universal Looping AI Orchestrator — a runtime-agnostic super-plugin (7 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 evidence checks, 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-loop finish all the open issues

What you get — 7 skills

Skill	What it does
simplicio-loop	Unified public entrypoint: orchestrator core + hardened loop behind one command.
simplicio-tasks	Legacy alias kept only for compatibility with older installs and saved prompts.
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-autoresearch	Evolutionary mutate/eval/keep-revert optimizer — yool-guardrailed caps, git-isolated branch, anti-Goodhart gate-first eval.
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>, cap, spindle handoff, or 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