AI agents directory for AI researchers: Connect with solutions by renowned AI agencies and automation experts.

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Millis AI is a cutting-edge platform that empowers developers and non-technical users to create and deploy advanced voice agents with unprecedented 600ms latency. Designed to deliver seamless, human-like interactions, Millis AI supports integration with Large Language Models (LLMs) such as OpenAI's GPT-4o and open-source models like Mistral and Llama. The platform offers no-code/low-code tools, allowing users to build voice applications in minutes, connect phone numbers for inbound and outbound calls in over 100 countries, and integrate with various services through webhooks. With affordable pricing starting at $0.02 per minute, Millis AI makes advanced voice AI accessible for applications ranging from customer support to virtual assistants.

Millis AI

millis-ai

An AI-powered platform for building advanced voice agents with ultra-low 600ms latency, enabling seamless and natural conversational experiences.

Roo Code is an open-source autonomous AI agent designed to code, debug, and evolve software systems with minimal human input. It mimics a junior developer's workflow, using a cyclic process of planning, editing, running, and debugging code. Roo Code supports multi-turn coding sessions and automatically persists context across iterations. It is built on top of a task memory system, supports integration with your terminal and development environment, and is designed for continuous improvement through natural interactions.

Roo Code

roo-code

An autonomous open-source AI agent that can code, debug, and evolve software with minimal human intervention.

Claude MCP Agents are AI-driven entities developed by Anthropic, leveraging the Model Context Protocol (MCP) to facilitate seamless integration with diverse data sources and applications. MCP serves as an open standard, enabling AI systems to connect efficiently with external APIs, tools, and live data, thereby enhancing their functionality and contextual awareness. By utilizing MCP, Claude agents can perform tasks such as retrieving information, executing workflows, and interacting with various platforms, all while maintaining a cohesive understanding of the context. This integration simplifies the development process, allowing for rapid deployment of AI capabilities across multiple domains.

Claude MCP Agents

claude-mcp-agents

AI agents utilizing Anthropic's Model Context Protocol to integrate seamlessly with various data sources and tools.

Cline is an open-source AI coding assistant integrated into Visual Studio Code, designed to automate various coding tasks. It features dual Plan/Act modes, allowing developers to strategize and execute coding actions efficiently. Cline can create and edit files, run terminal commands, and utilize the Model Context Protocol (MCP) to extend its capabilities. Operating directly within the IDE, it ensures a seamless coding experience, enhancing developer productivity by handling routine tasks and providing intelligent code assistance.

Cline

cline

An open-source AI coding assistant for VS Code, automating coding tasks with Plan/Act modes and terminal execution.

Codename Goose is an open-source AI agent developed by Block's Open Source Program Office, designed to automate intricate engineering tasks directly on your machine. It extends beyond mere code suggestions by autonomously building projects, writing and executing code, debugging, orchestrating workflows, and interacting with external APIs. Goose operates locally, ensuring data privacy and security, and is highly extensible, allowing integration with various large language models (LLMs) and tools through the Model Context Protocol (MCP). This flexibility enables developers to customize Goose to their specific workflows, thereby enhancing productivity and innovation.

Codename Goose

codename-goose

An open-source, on-machine AI agent automating complex engineering tasks to enhance developer productivity.

KOGO is a Bengaluru-based AI company that offers a diverse selection of AI agents designed to support businesses across multiple industries, including travel, healthcare, finance, retail, and law. Their platform provides AI-driven automation solutions for tasks such as appointment booking, anomaly detection, and customer service. With a focus on ease of use, KOGO enables businesses to quickly deploy AI agents to streamline operations and enhance productivity. Additionally, developers can build and customize their own AI agents using KOGO OS, contributing to a growing ecosystem of intelligent automation tools tailored for different business needs.

KOGO AI Agents

kogo-ai-agents

A platform providing AI agents for various industries, helping businesses automate tasks and improve efficiency.

nunu.ai is a cutting-edge AI technology company specializing in the development of multi-modal AI agents designed to autonomously test and play video games. By integrating advanced artificial intelligence into the game development process, nunu.ai aims to enhance quality assurance, player simulation, and in-game cooperation. Their agents are capable of navigating complex 3D environments, identifying bugs, and providing valuable insights, thereby streamlining the development pipeline and elevating the overall gaming experience.

nunu.ai

nunu-ai

Pioneering AI technology startup revolutionizing game quality assurance with advanced AI agents.

Gemma 3 is Google's latest open-source AI model, designed to run efficiently on a single GPU or TPU. It supports multimodal inputs, including text, images, and short videos, and offers advanced reasoning capabilities. With support for over 140 languages and a 128k-token context window, Gemma 3 is versatile for various applications. Its quantized versions enhance performance and reduce computational requirements, making it accessible for devices ranging from smartphones to workstations.

Gemma 3

gemma-3

An open-source AI model optimized for single-GPU performance, supporting multimodal inputs and over 140 languages.

L2MAC (Large Language Model Automatic Computer) is an AI framework designed to generate extensive outputs, such as entire codebases or lengthy texts, from a single prompt. It employs a multi-agent system where each agent executes a portion of the task, effectively bypassing the fixed context window constraints of traditional LLMs. This approach allows L2MAC to produce coherent and large-scale outputs, significantly enhancing the capabilities of AI in software development and content creation.

L2MAC

l2mac

An AI framework enabling large-scale code generation by overcoming LLM context limitations.

BondAI is an open-source tool designed for developing sophisticated AI agent systems. It handles complex implementation aspects such as memory and context management, error handling, and semantic search capabilities. Supporting advanced AI architectures like ReAct Agents and Conversational Agents, BondAI enables both individual interactions and multi-agent collaborations. The framework integrates seamlessly with services like OpenAI models, Microsoft Azure, Google Search, and LangChain, providing a versatile environment for AI development.

BondAI

bondai

Open-source framework for developing AI agent systems with advanced memory management and integrations.

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.

BabyElfAGI is an advanced modification of the BabyAGI series, introducing a Skills class that allows for the creation of new skills, enhancing the agent's capabilities. It features a 'dynamic task list' example with vector search and includes a beta reflection agent, enabling the AI to read, write, and review its own code. With approximately 895 lines of code, BabyElfAGI represents a significant evolution in autonomous AI agent development.

BabyElfAGI

babyelfagi

An advanced AI agent framework introducing a Skills class for dynamic skill creation and task management.