Democratizing Reinforcement Learning for LLMs
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Updated
Jun 26, 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.
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
Repo-level benchmark for real-world Code Agents: from repo understanding → env setup → incremental dev/bug-fixing → task delivery, with cost-aware α metric.
Container-free RL framework for training software engineering agents
Agentic Harness for the LLVM Compiler
Your AI-powered SWE teammate, built into your git workflow
An autonomous AI coding agent with novel innovations in tool state management and code editing, running in a Docker sandbox with a persistent shell, parallel tools, and a VNC desktop.
Autonomous Software Engineering Agents — self-healing, self-diagnosing development team powered by Claude Code and A2A protocol
[ACL 2026 Findings] SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context
An Always-On Autonomous AI Software Engineering Team built with LangGraph, FastAPI, and Next.js that operates natively within your GitHub repositories.
cli-first harness agnostic agent orchestration tool
Lawful Good Rust Agentic Operating System — production-grade agent harness with WASM sandboxing, heterogeneous inference, SurrealDB memory, sentinel guardrails, and 7-phase autonomous execution (Algorithm v6.3.0)
A curated list of training & evaluation environments for LLM/VLM agents (SWE-Gym, GEM, RAGEN, AgentGym, WebArena, OSWorld, ToolBench…). Updated weekly.
Reducing bottlenecks for Software Engineers while working with background agents on the go
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