Eval and benchmark tools for building AI agents
Evaluation tools that score agent outputs, catch regressions and compare prompts and models. Of the 251 tools on our building AI agents page, 8 fit this narrower job. By pricing: 6 open source, 1 source-available, 1 free or freemium. The most-starred open repos here are Agents CLI (6,137 stars), Apache Maka (5,866 stars), Kiln (5,223 stars). Most come from the frameworks (6), evals & observability (2) categories.
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Agents CLI
Google's CLI and skills that teach coding assistants to build, evaluate and deploy agents on Google Cloud and the Gemini platform.
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Apache Maka
Incubating Apache agent harness and workspace that records everything it does and publishes benchmarked run results.
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Kiln
Free desktop app and open-source library for building AI systems with evals, RAG, agents, fine-tuning and synthetic data in one workbench.
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fast-agent
Framework to build, run and evaluate agents with strong MCP, ACP and A2A support.
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EvoAgentX
Framework for building, evaluating and automatically evolving LLM agents and agentic workflows.
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Unreal Agent
Unreal Agent is an async-first agent harness from Unreal Labs, a team researching how to make agentic workflows efficient. The library handles inputs with stable IDs and deduplication, append-only sessions that can be forked, and a coordinator that manages each model turn and translates tool calls into operations. It ships with a cloud agent runner, a terminal UI and benchmark runners, under the MIT license.
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tRPC-Agent-Go
Go framework for production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation and OpenTelemetry.
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W&B Weave
Weights & Biases toolkit for tracing and evaluating agents.
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GitHub repos (7)
| Repo | GitHub stars | Licence | Last push |
|---|---|---|---|
| 6,137 | Apache License 2.0 | 2026-10-20 | |
| 5,866 | Apache License 2.0 | 2026-10-22 | |
| 5,223 | MIT for the Python libraries; the desktop app is free under the Kiln AI Desktop EULA | 2026-10-21 | |
| 3,935 | Apache License 2.0 | 2026-10-21 | |
| 3,385 | — | 2026-10-22 | |
| 2,211 | — | — | |
| 1,867 | — | 2026-10-22 |
7 repos. Stars and licence come from each repo, checked when the listing was last verified.
FAQ
What are the best AI tools for building AI agents focused on evals and benchmarks?
We list 8. The first three by GitHub stars and featured status are Agents CLI: Google's CLI and skills that teach coding assistants to build, evaluate and deploy agents on Google Cloud and the Gemini platform.; Apache Maka: Incubating Apache agent harness and workspace that records everything it does and publishes benchmarked run results.; Kiln: Free desktop app and open-source library for building AI systems with evals, RAG, agents, fine-tuning and synthetic data in one workbench.
Are there free or open-source options?
Yes: 6 open source, 1 source-available, 1 free or freemium. Pricing is as each maker states it.
More from building AI agents
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