Awesome Opensource Ai

利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.

Open Data Platform for analysts, quants and AI agents.

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

A programming framework for agentic AI

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!

aider is AI pair programming in your terminal

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Making large AI models cheaper, faster and more accessible

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

A modular graph-based Retrieval-Augmented Generation (RAG) system

Self-hosted AI coding assistant

Generative Models by Stability AI

A simple screen parsing tool towards pure vision based GUI agent

Hindsight: Agent Memory That Learns

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

Unified framework for building enterprise RAG pipelines with small, specialized models

Graph-Native Infrastructure for Context and Accountable AI Systems

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

Build effective agents using Model Context Protocol and simple workflow patterns

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

the portable Python dataframe library

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

Agenta is a workspace where you and your team build agents and automations.

Harness LLMs with Multi-Agent Programming

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

Evaluation and Tracking for LLM Experiments and AI Agents

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

[CVPR 2025] Magma: A Foundation Model for Multimodal AI Agents

Reference implementations of MLPerf® training benchmarks

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