Open Source Alternatives to Era Labs

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 AI and machine learning platform for enterprises.

An open-source platform for building and running AI coding agents that automate software development tasks.

Open-source infrastructure for coding agents, enabling AI to plan, generate, and deploy software autonomously.

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

An open-source platform for developing AI-powered autonomous software engineering agents.

An open-source, autonomous AI agent for complex tasks using terminal, browser, and editor interactions.

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

Adala is an Autonomous DAta (Labeling) Agent framework for data processing and labeling tasks.

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.

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, 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.

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

Cloud-based browser API for AI agents, simplifying web automation with anti-bot protection and session persistence.

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

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

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

Open-source AI agent framework for automating tasks across messaging platforms and software systems.

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.

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.

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.

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.

The Defcon badges feature a unique open-source chip that doubles as a security key.

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

BenchFlow is a frontier environment lab that builds environments for AI agents to learn and be evaluated on real computer work.

Building general-purpose AI for a future of material abundance.