harbor-framework/harbor

Framework for evaluating and improving agents

About the project

Harbor is a framework for evaluating and improving AI agents and language models across reusable benchmarks and execution environments. Developers and researchers use it to run agent evaluations, create benchmarks, perform parallel experiments, and generate rollouts for reinforcement-learning optimization, with the catalogue offering skills, instructions, and an MCP integration for the framework.

This repository also configures its own agents. See what harbor tells them →

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runtime_proof

harbor-framework/harbor

MCP server Claude CodeCodexCursor +2

MCP server "runtimeproof", hosted remotely at runtime-mcp-server, as configured in harbor-framework/harbor.

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