Open Source Alternatives to Augmented Intelligence (AUI)

Open-source autonomous AI agent platform that automates complex digital workflows.

An open-source framework for building, operating, and benchmarking Multimodal Language Model (MLM) agents across diverse environments.

Experimental open-source framework for building self-building autonomous agents with a novel function framework.

An open-source platform for creating, managing, and interacting with AI workflows and agents.

An open-source AI and machine learning platform for enterprises.

An AI-native workspace designed to turn team interactions into actionable, proprietary data for agentic workflows.

Parlant is an open-source conversational AI engine dedicated to solving the Human/AI alignment problem by enabling Large Language Models to reliably perform as desired and prevent hallucinations.

Simulates 1,000 LLM-powered agents for diverse movie recommendation preferences.

Together AI offers an AI-native cloud platform providing high-performance inference APIs, GPU clusters, and fine-tuning capabilities for open-source AI models.

Developing advanced AI models with a focus on reducing hallucinations, including large language models, vision language models, and text-to-video models.

An open-source technology provider offering an open control plane for AI agents.

DeepSeek is a Chinese AI company developing open-weight large language models and an AI assistant, aiming to achieve Artificial General Intelligence.

An open-source platform enabling enterprises to securely connect sensitive data to AI agents.

Open-source library for building hyper-realistic voice agents and conversational AI applications.

An open-source, end-to-end AI agent engineering platform for simulating, evaluating, and optimizing LLM applications.

Cua provides an open-source framework and cloud desktops for AI agents to control operating systems and desktop applications across Linux, Windows, macOS, and Android.

Low-code platform for building, iterating, and deploying AI applications, especially RAG and multi-agent systems.

Open-source AI platform for securely deploying intelligent agents, private enterprise search, and complex document workflows on an organization's own data.

OpenWorker is an open-source desktop AI agent that runs locally, integrates with everyday tools, and delivers finished outcomes by breaking down tasks.

A unified data analytics and AI platform built on the lakehouse architecture.

Open-source AI research lab training decentralized large language models and building infrastructure for accessible AI.

Elementary Data provides a unified data control plane for the AI era, offering observability, quality, governance, and discovery for data and AI reliability.

An open-source feature store for managing and serving data for AI/ML models in production.

Comfy is an AI creation engine for visual professionals, offering granular control over AI models, parameters, and outputs through a node-based workflow on an infinite canvas.

An open-source Python library providing a unified interface for interacting with various LLM providers.

Run large language models locally on your machine.

Open-source scheduling infrastructure for individuals, businesses, and developers.

An open-source red-teaming toolkit for testing the security of LLM-powered agents, auditing prompt injection, memory poisoning, and tool abuse.

Open-source framework enabling autonomous AI agents to make frictionless web3 payments via web2 infrastructure.

Open-source, offline-deployable RAG and Agent application built on LangChain for local knowledge base Q&A.