Awesome Opensource Ai

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Build AI Agents, Visually

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Build and run agents you can see, understand and trust.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

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

Ongoing research training transformer models at scale

Tensor library for machine learning

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

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

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

High-speed Large Language Model Serving for Local Deployment

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀

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

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

Chronos: Pretrained Models for Time Series Forecasting

Align Anything: Training All-modality Model with Feedback

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Optimizing inference proxy for LLMs

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

The Security Toolkit for LLM Interactions

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

An open-source visual programming environment for battle-testing prompts to LLMs.

The pretty much "official" DSPy framework for Typescript

[ICLR & NeurIPS 2025] Repository for Show-o series, One Single Transformer to Unify Multimodal Understanding and Generation.

Practical course about Large Language Models.

Fast, Flexible and Portable Structured Generation

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.