Track 42,331+ AI benchmark, eval, dataset, and data-quality records from 40 public sources, with linked evidence and daily updates.

agent-benchmarks 开源项目推荐(18 个)
agent-benchmarks 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 18
GitHub 共 18 个仓库,已全部展示Updated weekly — until humanity achieves AI4AI. 1148 curated papers across Benchmarks, Harness Design, and Model Design — from long-horizon agents to recursive self-improvement. Citation rankings, GitHub stars, and source-verified weekly news.
这是我们调查《OpenClaw 生态系统调查:从平台可扩展性到约束设计》的官方配套仓库——这是一份为 OpenClaw AI 智能体生态系统策划的论文、基准测试、安全报告、数据集和工具合集。
[EMNLP 2026] Messier is a cross-benchmark corpus of AI agent evaluations, linking tasks and results with models, scaffolds, verifiers, scoring rules, and execution trajectories.
An evidence-hostile, container-isolated benchmark and behavior analysis platform for long-horizon AI software agents.
Anti-cheating audit and isolated evaluation sandbox for AI agent benchmarks: detect the 7 vulnerability patterns, grade on the Agent-Eval Checklist, red-team with zero-capability agents. Zero dependencies.
Source-backed directory of AI-built software, agent environments, benchmarks and datasets, with original research and bilingual pages.
A curated list of frontier AI evaluation benchmarks, long-horizon agent test suites, terminal sandboxes, RLVR math verifiers, and red-teaming datasets.
Strict type, range, and semantic key validator for agent tool call invocations
Generated by Codex. Read with caution.
A free Claude Code skill to test coding agents on the same tasks; compare pass rate, cost, and time—built on affaan-m/ECC.
Step-by-step agent trajectory evaluator comparing execution traces against golden tool call sequences
Mercor Real World Engineer | Terminal-Bench Domain Expert | Agent evaluation, verifier engineering & reproducible systems
Deterministic release decisions from agent benchmark evidence.
A broken Terminal-Bench 2 / Harbor task taken apart: wrong artifact path, unpinned image, leaked solution and a gameable verifier, each found and fixed.
Deterministic evaluation harness for multi-turn LLM tool-use agents with hermetic in-memory SQLite sandboxing, automated failure taxonomy, fault injection, and zero-cost replay.
用同一套提示词评测多模型 Agent 从零实现完整可玩游戏的能力:固定技术栈、固定评分标准、按模型归档对比。| A standardized prompt for benchmarking LLM agents on building a complete game from scratch — fixed tech stack, fixed rubric, per-model results.
Inventory expiry regression tests for AI agent business simulators. Detect stock-age resets and expired sales in pinned Vending Bench and RetailBench implementations; no LLM calls.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 18 个项目;原始页面见 https://github.com/topics/agent-benchmarks。
- 该话题在 GitHub 上共有 18 个仓库, 本站收录的是其中最热门的 18 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 18 个项目累计 642 Star,覆盖 3 种主要语言,数据更新于 2026-11-12。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。