itigges22/ATLAS
An adaptive test-time learning framework enabling autonomous specialization for AI coding agents.
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ATLAS is a model-agnostic agent framework that enables AI systems to adapt during test-time and autonomously specialize for specific tasks. It provides a terminal user interface for running agent pipelines that perform file creation and coding operations. The framework is designed as a developer tool for building and orchestrating AI agents, supporting integration with multiple AI models.
Frequently asked
- What is itigges22/ATLAS?
- An adaptive test-time learning framework enabling autonomous specialization for AI coding agents.
- Is ATLAS open source?
- Yes — itigges22/ATLAS is open source, released under the AGPL-3.0 license.
- What language is ATLAS written in?
- itigges22/ATLAS is primarily written in Python.
- How popular is ATLAS?
- itigges22/ATLAS has 2.1k stars on GitHub.
- Where can I find ATLAS?
- itigges22/ATLAS is on GitHub at https://github.com/itigges22/ATLAS.