rllm
Democratizing Reinforcement Learning for LLMs
An AI agent is a program that uses a language model to decide what to do next, calls tools such as a browser, a code interpreter or an API, and repeats until the task is done. The projects here range from frameworks for building your own agents to finished agents that write code, browse the web or run business workflows.
Compare three things. Which models it can use: a single provider, or any OpenAI-compatible endpoint including local ones. How it limits what the agent may do: sandboxing, approval steps and permission lists. And whether it keeps memory between steps and sessions. An agent that runs code or shell commands should run in a sandbox, so check that before giving it access to your machine.
Democratizing Reinforcement Learning for LLMs
SSH2 client and server modules written in pure JavaScript for node.js
🐢 Open-Source Evaluation & Testing library for LLM Agents
An open source template for building cloud agents.
A modern CLI tool for scaffolding end-to-end type-safe TypeScript projects with best practices and customizable configurations
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
A visual playground for agentic workflows: Iterate over your agents 10x faster
AI가 쓴 한글을 사람 글처럼 윤문하는 Claude 스킬 — Korean AI-text humanizer: detects and rewrites translationese, mechanical parallelism, and 71 other AI tells
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.
MimiClaw: Harness on a $5 chip. No OS(Linux). No Node.js. No Mac mini. No Raspberry Pi. No VPS. Hardware agents OS.
Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.
Design engineering for Claude Code. Craft, memory, and enforcement for consistent UI.
An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra
Framework for evaluating and improving agents
This is the Personality Core for GLaDOS, the first steps towards a real-life implementation of the AI from the Portal series by Valve.
A compact Agent Skill for highly simplified, rounded, subtly neo-skeuomorphic IP mascot logos.
OpenClaw-RL: Train any agent simply by talking
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Build and deploy AI Agents on Cloudflare
《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
中国软件著作权申请材料 生成器 Skills,本 Skills 通过阅读本地项目,自动生成全套 .docx 软著申请材料,全开源,无须再付费购买任何软著申请服务
An open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix rooms.
Open-source AI coworkers that each get a computer of their own: a browser, files and tools, with every action decided before it happens and recorded after. Bring any AG-UI agent.
Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞