Awesome Opensource Ai

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

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.

Upserts, Deletes And Incremental Processing on Big Data.

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

A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

an ambient intelligence library

A scikit-learn compatible neural network library that wraps PyTorch

A system for quickly generating training data with weak supervision

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

SWE-bench: Can Language Models Resolve Real-world Github Issues?

Democratizing Reinforcement Learning for LLMs

Chronos: Pretrained Models for Time Series Forecasting

PyTorch native post-training library

🐢 Open-Source Evaluation & Testing library for LLM Agents

A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

A PyTorch native platform for training generative AI models

Gemma open-weight LLM library, from Google DeepMind

Model interpretability and understanding for PyTorch

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

lakeFS - Data version control for your data lake | Git for data

Astronomy and astrophysics core library

Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0

Probabilistic time series modeling in Python

cuML - RAPIDS Machine Learning Library

Visualizer for pandas data structures

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

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

Framework for evaluating and improving agents

A blazing fast inference solution for text embeddings models

Ecommerce Search and Discovery - marqo.ai

A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.

On-device AI across mobile, embedded and edge for PyTorch

Time series forecasting with PyTorch

Minimal CLI coding agent by Mistral

Lightning ⚡️ fast forecasting with statistical and econometric models.

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

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Fast inference engine for Transformer models

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