AI Infrastructure · PyPI

mirage-ci

Deterministic policy runtime for AI agents. Same policy file gates CI and enforces in production, with no LLM in the decision loop.

Details

Author
Yosef Shammout
GitHub profile
@ysham123
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/ysham123/Mirage
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
Directory sync
2026-05-15

Overview

Deterministic policy runtime for AI agents. Same policy file gates CI and enforces in production, with no LLM in the decision loop.

Quick start

pip

pip install mirage-ci

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What mirage-ci can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Agent Safety — agent-safety task automation.

Frequently asked questions

What is mirage-ci?
Deterministic policy runtime for AI agents. Same policy file gates CI and enforces in production, with no LLM in the decision loop.
How do I install mirage-ci?
Use pip: `pip install mirage-ci`. Full setup details on the source page linked above.
Is mirage-ci open source?
mirage-ci is published on PyPI.
What are alternatives to mirage-ci?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for mirage-ci is sourced from PyPI, published by Yosef Shammout.

Last scraped: · First indexed:

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