Awesome Opensource Ai

Autonomous AI development loop for Claude Code with intelligent exit detection

Containers for machine learning

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

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Build effective agents using Model Context Protocol and simple workflow patterns

the LLM vulnerability scanner

Coding Agent Harness

⚙️🦀 Build modular and scalable LLM Applications in Rust

🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.

A repository of models, textual inversions, and more

Adding guardrails to large language models.

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

Fit interpretable models. Explain blackbox machine learning.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.

Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.

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

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

an ambient intelligence library

🐬DeepChat - A smart assistant that connects powerful AI to your personal world

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

A system for quickly generating training data with weak supervision

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

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

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.

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-vector database built in Rust on Object Storage.

Simple and Distributed Machine Learning

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

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

Time series forecasting with PyTorch

A blazing fast inference solution for text embeddings models

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

An Engine-Agnostic Deep Learning Framework in Java

A fast multimodal LLM for real-time voice

Webots Robot Simulator

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

AdalFlow: The library to build & auto-optimize LLM applications.

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Harness LLMs with Multi-Agent Programming

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

OpenAgents - AI Agent Networks for Open Collaboration

Next Generation Agentic Proxy for AI Agents and MCP servers

Achieve state of the art inference performance with modern accelerators on Kubernetes

A flexible, high-performance 3D simulator for Embodied AI research.

Superfast AI decision making and intelligent processing of multi-modal data.

Fully customizable AI chatbot component for your website

II-Agent: a new open-source framework to build and deploy intelligent agents

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.