Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

simplicio_loop-1.0.3.tar.gz (66.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

simplicio_loop-1.0.3-py3-none-any.whl (68.2 kB view details)

Uploaded Python 3

File details

Details for the file simplicio_loop-1.0.3.tar.gz.

File metadata

  • Download URL: simplicio_loop-1.0.3.tar.gz
  • Upload date:
  • Size: 66.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for simplicio_loop-1.0.3.tar.gz
Algorithm Hash digest
SHA256 45278ea2e255b8b1ebf08112b41ad7390fece0d630cd324a3954ec3cd00a7283
MD5 43039b7152db95b71f2fd94485dce733
BLAKE2b-256 d18e92ee8151dede07f61973883470a525d16a82b960c2930cae6dd1039643be

See more details on using hashes here.

File details

Details for the file simplicio_loop-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: simplicio_loop-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 68.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for simplicio_loop-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 6e03ab3565e0457d586b3c157eb5bc068648f93c80651e9d8bc3e621c420fbc6
MD5 81e8251582d9ae9ca79718308f6fe0da
BLAKE2b-256 c2949c701efcb42e16090e84961f88451c82cd8e3326281eac75f662e8ed28d8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page