by AgentEvalHQ · Agent Tool · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
AgentEval is the comprehensive .NET toolkit for AI agent evaluation—tool usage validation, RAG quality metrics, stochastic evaluation, and model comparison—built first for Microsoft Agent Framework (MAF) and Microsoft.Extensions.AI. What RAGAS, PromptFoo and DeepEval do for Python, AgentEval does for .NET
| Stars | 93 |
| Forks | 8 |
| Language | C# |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 39.5/100 |
| Open Issues | 8 |
| Last Updated | 2026-05-12 |
| Created | 2026-01-02 |
| Platforms | dotnet |
| Est. Tokens | ~579k |
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AgentEval is AgentEval is the comprehensive .NET toolkit for AI agent evaluation—tool usage validation, RAG quality metrics, stochastic evaluation, and model comparison—built first for Microsoft Agent Framework (M. It is categorized as a Agent Tool with 93 GitHub stars.
AgentEval is primarily written in C#. It covers topics such as agent, agentic, evals.
You can find installation instructions and usage details in the AgentEval GitHub repository at github.com/AgentEvalHQ/AgentEval. The project has 93 stars and 8 forks, indicating an active community.
AgentEval is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AgentEval on Agent Skills Hub include n8n-claw, skillpack, Autono. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.