最有价值项目

Music, radio, television and podcast player for Ubuntu, MacOs and maybe soon Android

Chaldea - Yet Another Material Planner and Battle Simulator for Fate/Grand Order aka FGO

聚宝盆(Cornucopia): 中文金融系列开源可商用大模型，并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)

Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.

A universal git-native AI agent framework. Your agent lives inside a git repo — identity, rules, memory, tools, and skills are all version-controlled files.

Open-source, self-hosted alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase and N8N on a React frontend.

🥰 Building AI-based conversational avatars lightning fast ⚡️💬

Best open-source SaaS boilerplate. Free, powerful & extendable.

100% free and full open-source edge Firecrawl alternative with better links extraction for agents - that you can deploy to cloudflare or vercel by yourself.

Open-source ManyChat alternative, built for AI. Omnichannel marketing across WhatsApp, TikTok, Facebook, Instagram, Telegram, Zalo, Email, API, and Webchat 🤖

IntelliJ/Android Studio plugin for searching artifacts ids of popular Java libraries.

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

Celery client for Node.js

Apple Swift based HTTP server. The answer for a Swift based, turn key, crash resilient, high scale, and production grade web server.

Flutter开发的和ChatGPT聊天的App，全平台支持

Flutter library for window acrylic, mica & transparency effects.

Official Agent skills of Oxylabs products

Editable scientific figures in PowerPoint and draw.io via Codex/MCP with Designer-Drawer-Reviewer-Corrector quality gates.

Checklist of the most important security countermeasures when designing, creating, testing your web/mobile application

Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch