Automation marketplace for AI agents: Browse our curated directory of smart digital assistants with open-source code from leading AI automation agencies to enhance your Automation workflows.

Open-Source AI Agents for Automation | AI Agent Store

Hugging Face's Open Computer Agent is an open-source AI tool designed to perform web-based tasks by emulating human interactions within a virtual Linux desktop environment. Powered by vision-language models like Qwen2-VL-72B and frameworks such as smolagents and E2B Desktop, it can navigate websites, fill out forms, and retrieve information based on natural language prompts. Operating through a browser interface, the agent simulates mouse and keyboard actions to execute tasks. While still in its experimental phase, it showcases the potential of AI agents in automating routine digital activities.

Hugging Face Open Computer Agent

hugging-face-open-computer-agent

An open-source AI agent that automates web tasks by simulating user interactions in a virtual Linux environment.

Google's Agent Development Kit (ADK) is an open-source framework designed to simplify the creation, deployment, and management of AI agents. Optimized for Google's Gemini models yet model-agnostic, ADK supports various agent types, including LLM-powered agents, workflow controllers, and custom agents. It offers features like multi-agent orchestration, tool integration, session management, and built-in evaluation tools. ADK facilitates flexible deployment options, including local environments, Google Cloud's Vertex AI Agent Engine, and Cloud Run, making it suitable for a wide range of AI applications.

Google Agent Development Kit

google-agent-development-kit

A modular framework for building, deploying, and managing AI agents across diverse workflows.

BabyCommandAGI is an open-source AI agent designed to explore the integration of Command-Line Interface (CLI) and Large Language Models (LLMs) for autonomous command execution. Built upon the BabyAGI framework, it leverages models like GPT-4o to interpret objectives, plan tasks, and execute commands within a CLI environment. This integration aims to automate complex workflows, including programming, environment setup, and data retrieval, by enabling dynamic interactions between LLMs and traditional CLI operations.

BabyCommandAGI

babycommandagi

An AI agent that integrates CLI and LLM to autonomously execute commands towards defined objectives.

AgentForge is a low-code framework designed for the swift creation, testing, and iteration of AI-powered autonomous agents and cognitive architectures. It supports multiple Large Language Models (LLMs), including OpenAI, Google's Gemini, Anthropic's Claude, and local models via Ollama or LMStudio. The platform offers customizable agents with features like dynamic prompt templates, on-the-fly prompt editing, and custom tools and actions. Its database-agnostic design ensures seamless integration with various databases, making it adaptable for diverse AI projects.

AgentForge

agentforge

Low-code framework for rapid development of AI-powered autonomous agents and cognitive architectures.

Agent Q is an advanced AI framework designed to improve the autonomy of AI agents in dynamic environments, such as web interfaces. It combines guided Monte Carlo Tree Search (MCTS), self-critique mechanisms, and reinforcement learning to enable agents to plan, execute, and adapt their actions effectively. This approach allows AI agents to handle complex, multi-step tasks with greater reliability and efficiency.

Agent Q

agent-q

AI framework enhancing autonomous agents' reasoning and learning in dynamic environments.

Agency Swarm is an open-source framework developed to facilitate the creation and management of collaborative AI agents, referred to as 'swarms.' By enabling multiple agents with distinct roles and capabilities to work together, it aims to automate complex workflows within AI development and other applications. The framework provides tools for defining agent behaviors, managing inter-agent communication, and integrating with existing systems, thereby enhancing efficiency and scalability in AI-driven projects.

Agency Swarm

agency-swarm

An open-source AI agent orchestration framework designed to automate and streamline AI development processes through collaborative agent swarms.

smolagents is a streamlined, open-source library developed by Hugging Face that enables developers to create powerful AI agents with just a few lines of code. The library emphasizes simplicity, containing approximately a thousand lines of code, and offers first-class support for Code Agents—agents that write their actions in Python code. smolagents is compatible with a wide range of language models, including those from OpenAI, Anthropic, and models hosted on the Hugging Face Hub. To ensure secure code execution, it provides options for running code in sandboxed environments via E2B. The library also integrates with the Hugging Face Hub, allowing users to share and load tools seamlessly.

smolagents

A lightweight, open-source library by Hugging Face for building AI agents with minimal code, supporting various language models and secure code execution.

NVIDIA Eureka is an AI-driven agent designed to enhance robotic learning by autonomously generating reward algorithms that guide robots in mastering intricate skills. Utilizing OpenAI's GPT-4 large language model, Eureka creates software code that enables robots to learn through trial and error, significantly improving their performance in tasks such as pen spinning, opening drawers, and manipulating objects. This approach surpasses traditional human-authored programs, achieving over 50% performance improvement in more than 80% of evaluated tasks. Integrated with NVIDIA's Isaac Gym, a physics simulation platform, Eureka accelerates the training process by efficiently evaluating numerous reward candidates, facilitating rapid development of advanced robotic capabilities.

NVIDIA Eureka

nvidia-eureka

An AI agent developed by NVIDIA that leverages GPT-4 to autonomously train robots in complex tasks through reinforcement learning.

Code as Policies is a framework that leverages large language models (LLMs) to generate programs acting as policies for robotic control. By interpreting natural language commands, these models produce code that directs robots to execute complex tasks, integrating perception and control. This approach allows for the creation of both reactive and waypoint-based policies, facilitating advanced robotic behaviors across various platforms. The framework emphasizes the use of hierarchical code generation to manage intricate tasks, enhancing the adaptability and functionality of robotic systems.

Code as Policies

code-as-policies

A framework utilizing language model-generated programs to enable robots to perform complex tasks through code-based policies.

Langroid is an open-source Python framework designed to streamline the development of applications powered by Large Language Models (LLMs). It introduces a multi-agent programming paradigm, treating agents as first-class citizens to manage multiple LLM conversations, each responsible for different aspects of a task. This approach facilitates efficient collaboration through message exchange, enabling developers to build complex, intelligent applications with ease. Langroid supports integration with various LLMs, vector databases, and function-calling tools, offering a modular and extensible architecture for AI application development.

Langroid

langroid

An open-source Python framework that simplifies LLM application development using a multi-agent programming paradigm.

AIlice, developed by MyShell.ai, is an open-source, fully autonomous AI agent that functions as a 'text computer' with a Large Language Model (LLM) at its core. Inspired by JARVIS, AIlice is capable of executing a wide range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid operations. It dynamically creates an agent tree based on specific tasks, decomposing and executing them with high fault tolerance. AIlice supports both open-source models and commercial models like GPT-4, offering flexibility and extensibility for various applications.

AIlice

ailice

A fully autonomous, general-purpose AI agent designed to perform complex tasks through dynamic multi-agent collaboration.

Burr is an open-source framework developed by DAGWorks that facilitates the creation of decision-making applications—including chatbots, agents, and simulations—using straightforward Python components. It enables developers to model applications as state machines, providing a user interface for real-time monitoring, tracing, and debugging. Burr integrates seamlessly with various frameworks and includes pluggable persisters to save and load application states, enhancing the development and maintenance of complex AI-driven systems.

Burr

burr

An open-source framework for building and debugging applications that make decisions, such as chatbots, agents, and simulations, using simple Python building blocks.

Open-Source AI Agents for "Automation" Industry