AI agent tools for benchmark
Short answer: Our top pick for benchmark: hotpath-rs, with the highest AgentPick Score (71/100) among tools tagged "benchmark". Runners-up: little-coder (68) and ClawBench (67). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | hotpath-rs | Rust profiler for CPU, memory, SQL, HTTP, and async performance, with Prometheus and Grafana support. | 71/100 | ★ 1.9k | MIT | 11 Oct 2026 |
| #2 | little-coder | A harness optimized to smaller LLMs | 68/100 | ★ 2.7k | Apache-2.0 | 18 Sept 2026 |
| #3 | ClawBench | Open-source benchmark for browser AI agents on daily tasks. | 67/100 | ★ 1k | Apache-2.0 | 13 Oct 2026 |
| #4 | SkillCorpus | Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling… | 62/100 | ★ 686 | Apache-2.0 | 8 Oct 2026 |
| #5 | SkillEvaluator | Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live … | 62/100 | ★ 568 | Apache-2.0 | 14 Oct 2026 |
| #6 | aseprite-ai-artist | Your coding agent paints pixel art in the Aseprite window you already have open. MCP server + skills for Claude Code, omp, Codex, Gemini CLI and Curso… | 62/100 | ★ 324 | MIT | 13 Oct 2026 |
| #7 | nautilus-compass | Open memory & reliability layer for AI agents + independent judging/verification (NACRE judge, caliber-bench meta-benchmark, preregistered criteria) —… | 61/100 | ★ 1.3k | See repo | 14 Oct 2026 |
| #8 | mobilegym | [EMNLP 2026] MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Sim… | 60/100 | ★ 818 | Apache-2.0 | 9 Oct 2026 |
| #9 | ADR | ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber. | 59/100 | ★ 2k | Apache-2.0 | 14 Oct 2026 |
| #10 | TrustLLM | [ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for loc… | 53/100 | ★ 632 | MIT | 4 Oct 2026 |
| #11 | civ6-mcp | An MCP server that lets LLM agents play Civilization VI. | 42/100 | ★ 217 | MIT | 13 Oct 2026 |
| #12 | meta-agents-research-environments | Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks… | 37/100 | ★ 567 | MIT | 30 Sept 2026 |
| #13 | GLM-5.3-Flash-J-Space-Capability-Realization-Report | GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite | 35/100 | ★ 1k | See repo | 5 Sept 2026 |
| #14 | AgentLab | AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility… | 34/100 | ★ 653 | See repo | 6 Oct 2026 |
| #15 | mcpmark | MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use. | 28/100 | ★ 465 | Apache-2.0 | 12 Jun 2026 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Read the license before using it commercially.
- Check how recently it was updated and how active its issues are.
- Run it on a small, low-risk task first.
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