Starred repositories
DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud
React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely cust…
Accessible, unstyled, foundational components for Dioxus.
💾 Self-hosted online file converter. Supports 1000+ formats ⚙️
Logrus Hook for Elasticsearch Using the Official Go Client
A modern animation library for React and JavaScript
基于无障碍，高级选择器，订阅规则的自定义屏幕点击安卓应用 | An Android APP with custom screen tapping based on Accessibility, Advanced Selectors, and Subscription Rules
A Vue 3.x Neumorphic design system for Web. Written in TypeScript with Composition API 🔥
A scalable, distributed, collaborative, document-graph database, for the realtime web
Bionic is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality
Use free svg icons in your Dioxus projects easily with dioxus-free-icons.
Facilitating high-level interactions between Wasm modules and JavaScript
TinyAudio is a cross-platform audio output library
Low-level cross-platform audio I/O library in Rust
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Distribute and run LLMs with a single file.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
A collection of various awesome lists for hackers, pentesters and security researchers
trzsz-go is the go version of trzsz, makes all terminals that support local shell to support trzsz ( trz / tsz ).
🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust
High-performance In-browser LLM Inference Engine
LangChain for Go, the easiest way to write LLM-based programs in Go