Harneloop is a Python framework (available on PyPI) for constructing self-evolving AI agent systems. It emphasizes artifact tracking and evaluation to enable agents that improve over time through structured feedback. Designed for developers building advanced autonomous AI agents, it provides the scaffolding and evaluation primitives needed to create, monitor, and iteratively enhance agent behaviors.
Harneloop is an Autonomous agents & workflows product. It focuses on building and evaluating self-improving AI agent systems that evolve through artifact tracking and feedback loops. It is built as an open-source project for AI developers and researchers. Harneloop is open source under the Apache-2.0 license. The product ships for the web and the command line, and it can be self-hosted.
Behind Harneloop is Ker102, and the product first shipped in 2026. Development happens publicly on GitHub with 39 commits in the last 90 days. Key capabilities include Artifact Tracking, Self-Evolution Loops, and Agent Evaluation.
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