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Starred repositories
andrewyur / iss
Forked from joshuarli/iss3-finger swipe instant space switching on macOS
一个让 AI 智能体能够长时间运行并完成复杂任务的编排框架 | An orchestration framework for AI agents to run for extended periods
Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent. #1 coding agent on OpenRouter. 1.5M+ Kilo Coders. 25T+ tokens pr…
Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.
Build, run, manage agentic software at scale.
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
PyRe will be a very fast and compliant implementation of the Python language.
Lightweight, cross-platform process sandboxing powered by OpenAI Codex's runtime. Sandbox any command with file, network, and credential controls.
Real-time observability of claude code sessions & multi-agents.
Plotting the historical uptime of GitHub
Find lines across files by regex and edit them all at once with your $EDITOR
An innovative superfamily of fonts for code
Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.
A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.
Native macOS Wayland Compositor written in Rust using Smithay. Experience seamless Linux app streaming on macOS without XQuartz.
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade archite…
A ligthweight cli for running single-purpose AI agents. Define focused agents in TOML, trigger them from anywhere; pipes, git hooks, cron, or the terminal.
Terminal apps that run anywhere - even the browser!
Give AI coding agents eyes. Records browser sessions, captures screenshots, collects errors, and bundles proof artifacts — so humans can verify what the agent built.
A lightweight, powerful framework for multi-agent workflows
A model-driven approach to building AI agents in just a few lines of code.