Democratizing Reinforcement Learning for LLMs
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Updated
Apr 5, 2026 - Python
Democratizing Reinforcement Learning for LLMs
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.
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
Container-free RL framework for training software engineering agents
Your AI-powered SWE teammate, built into your git workflow
Autonomous Software Engineering Agents — self-healing, self-diagnosing development team powered by Claude Code and A2A protocol
Agentic Harness for the LLVM Compiler
Reducing bottlenecks for Software Engineers while working with background agents on the go
Drive Cursor and any ACP-compatible agent from your terminal — with persistent sessions and full automation support.
Python framework for building autonomous software engineers using the SWE-AF architecture.
Build an open-source internal coding agent framework for teams to automate software development with LangGraph and deep agent workflows
Automate software bug detection, triage, and fixes with an autonomous, provider-agnostic engineering team
📊 Convert agent framework logs into a standard trajectory format for easy analysis and integration within data pipelines.
🛠 Master Claude Code with a complete guide on AI coding assistants, featuring agents, commands, skills, and rules to streamline your workflow.
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