AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.
swe-bench 开源项目推荐(396 个)
swe-bench 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 前 20
按 Star 数排序展示前 20 个 · GitHub 共 396 个仓库Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
SE-Agent 是一个面向 LLM 代码代理的自我演进框架。它使轨迹级演化能够通过修订、重组和精炼等推理路径交换信息,扩展搜索空间并逃离局部最优。在 SWE-bench Verified 上,它实现了 SOTA 性能
How many bugs can LMs find & fix in large codebases?
[NeurIPS 2026 Main] Automate the build, execution and test of software repositories across programming languages and operating systems.
Multi-agent teams for real work: run teams of coding agents (Claude Code, Codex, any model) in isolated git worktrees, and measure whether the team beats a solo agent on cost and results.
Playwright for coding agents. Test that your skills, MCP servers, and CLIs actually work when an agent uses them — sandboxed YAML suites, A/B experiments, CI gates.
Local-first, auditable Python code agent. Ships its own 30-task hidden-test benchmark plus SWE-bench Verified scored by the official harness -- every number reproducible, negative results included.
An LLM council that reviews your coding agent's every move
Can AI agents rebuild websites through browser exploration?
🧪💥 Evaluation framework based on Vitest, the testing framework you familiar with, for agents, models, and more.
Strands-based agents and harnesses for agentic benchmarks.
RHO: Evolving Agents in the Dark — Retrospective Harness Optimization via Self-Preference. Improving LLM agents from unlabeled past trajectories (arXiv:2606.05922).
An 18 notebook course that isolates and measures each component of agentic loop engineering on real, industry standard software datasets.
Verifiable AI coding agent harness / 可验证的 AI 编码代理:evidence hash-chain · hollow-answer gate · manual verification checklist · 6 engines + MCP · multi-model · Windows/CJK · listed in awesome-opensource-ai & Collabnix awesome-mcp-lists
The official Kotlin benchmark by JetBrains
We track and analyze the activity and performance of autonomous code agents in the wild
Fable-style spec + evidence gate for Claude Code + Codex. Makes Opus/Codex work under Fable-like discipline: blocks every edit until a deterministic spec passes, and there is no "done" without live acceptance evidence. Spec-first, verification-gated, forbidden-paths enforced.
Compact AI agent runtime control plane with governed tools, HITL approval, resumable execution, trace-driven evaluation, and SWE-bench-shaped evidence.
Coding Agent Runtime & Evaluation Harness for controlled repository-level software repair
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 20 个项目;原始页面见 https://github.com/topics/swe-bench。
- 该话题在 GitHub 上共有 396 个仓库, 本站收录的是其中最热门的 20 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 20 个项目累计 6250 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 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。