Search awesome repositories

🧊 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

Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Open-source scientific and technical publishing system built on Pandoc.

A system for quickly generating training data with weak supervision

An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.

A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks.

A model-driven approach to building AI agents in just a few lines of code.

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

HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.

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

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

A treasure chest for visual classification and recognition powered by PaddlePaddle

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

Apache Maka (Incubating) is a high-performance agent workspace that keeps a complete record of everything it did.

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 GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

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

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org