Discover AI agents built for Artificial Intelligence: Comprehensive directory of solutions verified by AI agency professionals focused on the Artificial Intelligence sector.

AI Agents for Artificial Intelligence | AI Agent Store

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.

CrushOn.AI is an innovative platform that allows users to interact with a diverse range of AI-generated characters in an unfiltered environment. Users can create and customize unique characters, defining their personalities and backstories, and engage in dynamic, unrestricted conversations. The platform supports importing characters via JSON, saving and loading memories to enrich interactions, and facilitates group chats and scene customization for a personalized experience.

CrushOn.AI

crushon-ai

An AI-powered platform enabling users to engage in immersive, customizable character-driven conversations without restrictive filters.

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.

Samsung Ballie is an AI-powered companion robot designed to integrate seamlessly into smart home environments. Unveiled at CES 2020 and updated in subsequent years, Ballie is equipped with advanced AI capabilities that allow it to interact with users, control smart home devices, and provide personalized assistance. Its spherical design enables it to navigate around the home autonomously, performing tasks such as projecting workout videos, monitoring pets, and managing other connected appliances. Ballie aims to offer a more intuitive and engaging way to interact with smart home technology, enhancing daily life through proactive and personalized support.

Samsung Ballie

samsung-ballie

An AI-powered home assistant robot designed to enhance smart home experiences.

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.

MCP.so is a community-driven platform that collects and organizes third-party Model Context Protocol (MCP) Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications. The platform aims to facilitate the integration of AI models with external tools, data sources, and services by providing a comprehensive list of MCP Servers, enhancing the capabilities and functionalities of AI assistants.

MCP.so

mcp-so

A community-driven platform collecting and organizing third-party MCP Servers for AI applications.

Awesome MCP Servers is a GitHub-curated list compiling various MCP (Model Context Protocol) servers that allow large language models to interface with external tools, files, APIs, databases, and more. These servers empower AI agents to perform tasks beyond simple text generation by enabling them to access structured resources and execute contextual operations. The list features both production-ready and experimental implementations contributed by the community.

Awesome MCP Servers

awesome-mcp-servers

A curated list of Model Context Protocol (MCP) servers enhancing AI capabilities with external tools and data.

Smithery is a comprehensive platform designed to help developers find and deploy agentic services that comply with the Model Context Protocol (MCP). It serves as a centralized hub for discovering MCP servers, offering hosting and distribution services, and providing standardized interfaces for tool integration and configurations. By simplifying the integration of language model agents with external tools and data sources, Smithery accelerates the development of agentic AI applications.

Smithery

smithery

A platform assisting developers in discovering and deploying agentic services adhering to the Model Context Protocol (MCP).

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.

AI Agents for "Artificial Intelligence" Industry