Open Source Alternatives to Lightpage

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

An open-source TypeScript/JavaScript framework for building AI agents, from the creators of Gatsby.

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

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

An open-source platform for building, simulating, evaluating, and optimizing reliable AI agents.

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

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.

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

Inconvo is an open-source platform for building data agents on production data with safe queries, permissions, and structured outputs.

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

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

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

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

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

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

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

Open-source tool to transform application data into accessible knowledge for AI agents.

Persistent memory layer for AI agents and applications.

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

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 Python library providing a unified interface for interacting with various LLM providers.

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

Open-source alert management platform using AI to reduce noise and improve alert actionability for engineers.

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

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

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.

Open-source, privacy-focused AI assistant that runs locally on your hardware.

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

An open-source framework for on-machine AI agents developed by Block's Open Source Program Office.

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

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

High-performance, open-source vector search engine built in Rust for production-grade AI and machine learning workloads.

A non-profit AI research lab focused on open science and developing advanced multimodal and voice AI models.

Open-access AI cloud platform providing affordable, on-demand GPUs for training and serving AI models.

Run large language models locally on your machine.

The Google of code search for open-source.

Arcee provides U.S.-made, open source large language models and checkpoints for insight into raw model intelligence.