harbor (harbor-framework/harbor) is an open-source AI project on GitHub. Repository summary: Harbor is a framework for running agent evaluations and creating and using RL environments. Its focus includes evaluation and observability. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Apache-2.0
Stars
2,166
Homepage
https://harborframework.com/Features
- Core capability: Harbor is a framework for running agent evaluations and creating and using RL environments.
- Includes evaluation, tracing, or observability capabilities
- Repository: harbor-framework/harbor
- Primary language: Python
- Open-source license: Apache-2.0
- GitHub traction: about 2,076 stars
Use Cases
- Used for AI quality monitoring and regression evaluation
- Build internal AI workflow prototypes with harbor
- Validate harbor in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
- Improving team engineering productivity
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/harbor-framework/harbor. Community traction is around 2,076 stars. License: Apache-2.0.
It usually works as an execution component or capability layer, with common deployment fits such as: Used for AI quality monitoring and regression evaluation, Build internal AI workflow prototypes with harbor, Validate harbor in production-like engineering scenarios.
