Stars
An extremely fast Python package and project manager, written in Rust.
White-box LLM post-training course: SFT, DPO, GRPO/RLVR, Agent SFT, and Mini Agent RL on one 16 GB GPU.
Write HTML. Render video. Built for agents.
The open-source SDK for bringing any agent into any chat platform: Slack, Microsoft Teams, Discord, Telegram - with native, Interactive UI.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
MoonEP: A Perfectly Balanced Expert Parallelism Library via Dynamic Redundant Experts
The Little Book of Reinforcement Learning
Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
Curated infrastructure resources for building production AI agents: runtimes, sandboxes, workspaces, tool protocols, security, observability, and evaluation.
Fast and memory-efficient exact attention
Open source Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents. Built for multitasking, organization, and programmability.
AI-agent skills for distributed-systems testing
Skardi is an agent data plane that gives AI agents data autonomy.
Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
Agent skill that removes signs of AI-generated writing from text
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Anthropic's original performance take-home, now open for you to try!
Spec-driven development (SDD) for AI coding assistants.
Automated workflows for OpenAI Codex. Features spec-driven development for new features: Product Requirement → Design → Development Plan → Implementation.
Starter app to build with the OpenAI Responses API
The markdown editor that's just a textarea https://overtype.dev