- Beijing, Chengdu
- http://fatelei.github.io
- @fatelei
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Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.
Containerization is a Swift package for running Linux containers on macOS.
aider is AI pair programming in your terminal
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It's written in Swift, and optimized for Apple silicon.
An extremely fast Python type checker and language server, written in Rust.
Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
Command-line sampling profiler for macOS, Linux, and Windows
🚀 The fast, Pythonic way to build MCP servers and clients
Pocket Flow: Codebase to Tutorial
Feather🪶: A Rust web framework that does not use async
Optimize your code automatically with AI
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Python FFmpeg wrappers support filters with typing and docs
Lightweight coding agent that runs in your terminal
A minimal, developer-friendly pretty-printer and debug dumper for Go structs, inspired by Laravel’s dump() and Symfony’s VarDumper.
In memory file system that implements as many FUSE interfaces as possible.
go-audit is an alternative to the auditd daemon that ships with many distros
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
llm-d is a Kubernetes-native high-performance distributed LLM inference framework
⚙️ Create and run workflows (RPA 2.0)