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

AI Agents for Automation | AI Agent Store

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.

AI Studio Stream Realtime is a Google AI feature that allows users to interact with AI models in real-time using various input modalities, including screen sharing, camera feeds, and audio. Integrated with Gemini 2.0's Multimodal Live API, it enhances AI interactivity by processing and responding to live data streams dynamically. This feature is designed for developers and users looking to create real-time AI-driven applications, but some limitations include the AI prioritizing streamed content over general knowledge.

AI Studio Stream Realtime

ai-studio-stream-realtime

A real-time AI interaction feature enabling multimodal live streaming with AI models.

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.

Roboto AI is an advanced platform tailored for robotics developers, enabling efficient management of complex sensor and log data. By supporting various data formats, including ROS and PX4, it facilitates seamless data ingestion, tagging, and visualization. The platform's robust features, such as custom actions for data processing and powerful multimodal search capabilities, empower users to analyze patterns, identify edge cases, and enhance collaboration through data sharing and annotation. Founded by former engineering leaders from Amazon Robotics and AWS, Roboto AI aims to accelerate the deployment of robots by using AI to streamline data processing.

Roboto AI

roboto-ai

An AI-powered data engine designed to streamline the search, transformation, and analysis of multi-modal robotics data.

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.

Imbue is an AI research lab dedicated to creating AI agents that can reason, code, and autonomously achieve complex goals. By focusing on enhancing reasoning capabilities, Imbue aims to overcome the primary obstacles to effective AI agents. The company builds its own foundation models and prototypes AI agents on top of these models to improve their capabilities and interactions. Imbue's technology is designed to empower users by automating complex tasks and enabling more intelligent personal computing.

Imbue

imbue

An AI research lab developing advanced AI agents capable of robust reasoning and coding to accomplish complex tasks autonomously.

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.

AI Agents for "Automation" Industry