harbor-framework/harbor

autonomous harness engineering

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

Democratizing Reinforcement Learning for LLMs

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Evaluation and Tracking for LLM Experiments and AI Agents

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.