awesome-evals — Agent Tool by benchflow-ai

by benchflow-ai · Agent Tool · ★ 583

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About awesome-evals

Awesome Agent Evals A curated, opinionated, non-BS library of the best resources for building and evaluating AI agents — papers, blog posts, talks, courses, tools, and benchmarks. Maintained by BenchFlow · "Environments are the new data." Most "awesome" lists are link dumps. This one is annotated and verified: every entry says what it is and why it belongs, URLs are checked, quotes are verbatim, and dead/abandoned tools are pruned (not silently listed). It was assembled by: a depth-4 recursive citation crawl (11.6k papers, ranked by in-degree) to surface the academic canon, targeted practitioner-web discovery for the industry sources citation graphs miss (Eugene Yan, Han-Chung Lee, Hamel Husain, Shreya Shankar, Nathan Lambert, …), 47 talks & podcasts transcribed and deep-noted (verbatim + timestamps), and per-section gap audits with adversarial verification. 415+ curated links · 146 deep reading notes (see ). Markers: 🆕 = released/updated 2025–2026 · ⚠️ = caveat. Contributions welcome — see CONTRIBUTING.

agent-evaluationai-agentsawesomeawesome-listbenchmarksevalsllmllm-evaluationrl-environments

Quick Facts

Stars583
Forks42
CategoryAgent Tool
Quality Score53.1153771821903/100
Open Issues2
Last Updated2026-06-29
Created2026-06-24
Est. Tokens~28k

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Frequently Asked Questions

What is awesome-evals?

awesome-evals is A curated, non-BS library of the best resources for building and evaluating AI agents — papers, blogs, talks, tools, benchmarks. Maintained by BenchFlow.. It is categorized as a Agent Tool with 583 GitHub stars.

How do I install or use awesome-evals?

You can find installation instructions and usage details in the awesome-evals GitHub repository at github.com/benchflow-ai/awesome-evals. The project has 583 stars and 42 forks, indicating an active community.

What are the best alternatives to awesome-evals?

The top alternatives to awesome-evals on Agent Skills Hub include awesome-ai-sdks, awesome-local-llm, awesome-LangGraph. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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