Stars
An agentic skills framework & software development methodology that works.
AI-powered daily intelligence for indie hackers and builders. 20 questions, 10+ sources, every morning.
An Agentic Framework for Reflective PowerPoint Generation
[CVPR 2025] A Comprehensive Benchmark for Document Parsing and Evaluation
Unsloth is a local UI for training and running Gemma 4, Qwen3.6, DeepSeek, Kimi, GLM and other models.
Allows you to emulate an Android native library, and an experimental iOS emulation
Elegant reading of real-time and hottest news
👀「大模型」2小时从0训练65M参数的视觉多模态VLM！Train a 65M-parameter VLM from scratch in just 2h!
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitti…
A time-series database for high-performance real-time analytics packaged as a Postgres extension
aider is AI pair programming in your terminal
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without …
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
open-source agentic AI data assistant for the next generation of AI + Data products.
👾 Fast and simple video download library and CLI tool written in Go
High-Resolution Image Synthesis with Latent Diffusion Models
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.