Awesome Opensource Ai

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

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

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.

Self-hosted AI coding assistant

Generative Models by Stability AI

A simple screen parsing tool towards pure vision based GUI agent

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

Hindsight: Agent Memory That Learns

🐫 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.

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

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

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

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

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

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

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

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.

Reference implementations of MLPerf® training benchmarks

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