aqm-framework/aqm
An orchestration framework for AI agents to pass tasks through explicit queues. Build pipelines in YAML, run locally with SQLite, and power them with Multi-LLM.
This project helps software development teams automate complex workflows, like building and reviewing new features, by orchestrating multiple AI agents. You define a multi-step pipeline in a simple YAML file, feeding in a high-level task like "add authentication." The system then outputs production-ready code, documentation updates, and automated test results, managed through a series of specialized AI agents working together. It's designed for engineering leads, product managers, or dev ops specialists looking to streamline development processes.
Available on PyPI.
Use this if you need to automate multi-stage software development tasks, where different AI agents (potentially using different LLMs) need to collaborate, review each other's work, and reach consensus before delivering a final output.
Not ideal if you're looking for a simple chatbot or a single-agent solution for quick, isolated tasks without a need for structured, quality-controlled workflows.
Stars
12
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 27, 2026
Commits (30d)
0
Dependencies
7
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