Democratizing Reinforcement Learning for LLMs

Simple to install, powerful command-line based AI agent system for coding.

RepoMaster: The open-source AI agent that masters GitHub. It turns any code repository into a powerful tool, achieving a new level of autonomous task-solving. An open alternative to Claude-Code.

Sandboxed code execution for AI agents, locally or on the cloud. Massively parallel, easy to extend. Powering SWE-agent and more.

This repo tracks the opened and merged PRs by the top SWE coding agents by OpenAI, GitHub, and others. Updates every 3 hours.

Repo-level benchmark for real-world Code Agents: from repo understanding → env setup → incremental dev/bug-fixing → task delivery, with cost-aware α metric.

SE-Agent is a self-evolution framework for LLM Code agents. It enables trajectory-level evolution to exchange information across reasoning paths via Revision, Recombination, and Refinement, expanding the search space and escaping local optima. On SWE-bench Verified, it achieves SOTA performance

We track and analyze the activity and performance of autonomous code agents in the wild

Async SWE agents seamlessly integrated on your git platform to automate code issues implementation, reviews, and pipeline repairs.

Reducing bottlenecks for Software Engineers while working with background agents on the go

AutoCodeRover IDE Plugin (ACR Plugin) brings AutoCodeRover Agent - an autonomous program improvement directly into developer's Integrated Development Environment (IDE). Using this IDE extension, developers can benefit from an agent with autonomous improvement capabilities in common development events inside the IDE.