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.

Codex CLI is an open-source, terminal-native AI coding assistant developed by OpenAI. Designed for developers who prefer working directly in the terminal, it integrates OpenAI's latest models (like o4-mini) to perform tasks such as reading, modifying, and executing code within a local environment. Codex CLI supports multimodal inputs, allowing users to pass text, screenshots, or diagrams to generate or edit code accordingly. It offers three distinct approval modes—Suggest, Auto Edit, and Full Auto—providing flexibility in how autonomous the agent operates. The tool emphasizes security by running in a sandboxed, network-disabled environment and ensures that your source code remains on your machine unless explicitly shared. With zero-setup installation and compatibility with macOS, Linux, and experimental support for Windows via WSL, Codex CLI aims to streamline the development workflow by bringing powerful AI capabilities directly to the command line.

Codex CLI

codex-cli

Open-source terminal-based AI coding assistant that reads, writes, and executes code locally with multimodal input support.

Ceramic.ai is an enterprise-grade AI infrastructure platform designed to optimize the training and deployment of large language models (LLMs). Founded by Anna Patterson, a former Google VP of Engineering, Ceramic.ai addresses challenges in AI model training by offering faster and more efficient systems. The platform enables up to 2.5x faster training speeds compared to current state-of-the-art methods, while reducing overall compute requirements. It supports long-context training and integrates advanced algorithms to enhance model performance, aiming to democratize access to high-performance AI infrastructure for enterprises.

Ceramic.ai

ceramic-ai

An AI infrastructure platform optimizing large-scale model training with enhanced efficiency and scalability.

Cerebrum is the Software Development Kit (SDK) for AIOS, the AI Agent Operating System. It provides developers with tools to build, deploy, and manage large language model (LLM)-based AI agents. Cerebrum addresses challenges such as scheduling, context switching, memory management, and tool integration, facilitating the creation of efficient and scalable AI agents. The SDK features a modular architecture encompassing LLM, memory, storage, and tool management layers, and includes an Agent Hub for sharing and discovering agents with version control and dependency management.

Cerebrum: AIOS SDK

cerebrum-aios-sdk

An SDK for developing and deploying LLM-based AI agents within the AIOS framework.

Apple's Ferret-UI is a multimodal large language model (MLLM) designed to comprehend and interact with mobile user interfaces (UIs). It possesses referring, grounding, and reasoning capabilities, enabling it to identify UI elements such as icons and text, understand their spatial relationships, and execute tasks based on this understanding. Ferret-UI aims to improve user interactions by facilitating advanced control over devices through natural language commands, potentially enhancing accessibility and automation in mobile applications.

Apple Ferret-UI

apple-ferret-ui

A multimodal AI model for enhanced understanding and interaction with mobile user interfaces.

The Capability Collaboration based AI Agent (CACA Agent) is an AI system designed to enhance the extensibility and functionality of AI agents by integrating a set of collaborative capabilities. Inspired by service computing, it reduces reliance on a single large language model (LLM) and promotes an open architecture. CACA Agent introduces components such as Planning Capability, Methodology Capability, Tools Capability, Tool Broker, and Tool Service, which work together to provide AI agent functionalities. This design facilitates quick deployment of AI agents and convenient expansion of their application scenarios, allowing for dynamic tool integration and improved planning abilities. A demonstration of the system illustrates its operation and the extension of application scenarios.

CACA Agent

caca-agent

An AI system enhancing agent extensibility through collaborative capabilities.

PC Agent is an AI system developed by GAIR-NLP that facilitates the creation of autonomous digital agents by transferring human cognitive processes. It comprises three key components: PC Tracker, a lightweight infrastructure for collecting large-scale human-computer interaction data; a Cognition Completion post-processing pipeline that converts raw interaction data into cognitive trajectories; and a multi-agent system combining a planning agent for decision-making with a grounding agent for robust visual grounding. PC Agent aims to enable AI to perform complex digital tasks autonomously by learning from human interactions.

PC Agent

pc-agent

An AI system enabling autonomous digital agents through human cognition transfer.

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.