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.

Liquid AI, an MIT spinoff, specializes in creating efficient and adaptive AI systems through liquid neural networks inspired by the nervous system of C. elegans. Their Liquid Foundation Models (LFMs) offer scalable solutions across various industries, providing enhanced performance with reduced energy consumption. In December 2024, Liquid AI secured $250 million in funding led by AMD to further advance their innovative AI technologies.

Liquid AI

liquid-ai

Develops efficient AI systems using liquid neural networks inspired by C. elegans.

TensorFlow is an end-to-end open-source platform for machine learning developed by the Google Brain Team. It offers a comprehensive ecosystem of tools, libraries, and community resources that enable researchers and developers to build and deploy machine learning-powered applications efficiently. TensorFlow supports various programming languages, including Python, C++, and JavaScript, and is compatible with multiple platforms such as Linux, macOS, Windows, Android, and JavaScript. Since its initial release in 2015, TensorFlow has become one of the most widely adopted deep learning frameworks, facilitating tasks ranging from research prototyping to production deployment.

TensorFlow

tensorflow

An open-source machine learning platform developed by Google for building and deploying ML models.

ToRA, developed by researchers from Tsinghua University and Microsoft, is a series of Tool-integrated Reasoning Agents aimed at addressing challenging mathematical problems. By seamlessly combining natural language reasoning with external computational tools such as computation libraries and symbolic solvers, ToRA enhances the analytical capabilities of AI systems. This integration allows ToRA to effectively tackle complex mathematical reasoning tasks, outperforming existing open-source models on multiple datasets. Notably, ToRA-Code-34B is the first open-source model to achieve over 50% accuracy on the MATH dataset, surpassing GPT-4's Chain-of-Thought results.

ToRA

tora

A tool-integrated AI agent designed to solve complex mathematical problems by interacting with external tools.

AlphaCode is an AI-powered coding system developed by DeepMind to tackle competitive programming problems. By leveraging transformer-based language models, AlphaCode generates code solutions from natural language descriptions of problems. In evaluations, it achieved an average ranking in the top 54.3% on the Codeforces platform, demonstrating its capability to handle complex problem-solving tasks that require a deep understanding of algorithms and logic.

AlphaCode

alphacode

An AI system by DeepMind that generates code for competitive programming challenges.

Gwenflow, developed by Gwenlake, is an open-source framework designed to streamline the creation of customized, production-ready applications centered around autonomous AI agents and Large Language Models (LLMs). It provides developers with tools to integrate LLMs and agents seamlessly, enabling efficient and scalable solutions tailored to specific business or user needs. Gwenflow supports modular agent architecture, intuitive workflow representation, and an extensible system for tools and plugins, facilitating intelligent process automation, automated customer support systems, and AI-driven data processing pipelines.

Gwenflow

gwenflow

A framework for orchestrating applications powered by autonomous AI agents and LLMs.

Theoriq AI is a decentralized AI protocol that combines blockchain technology with artificial intelligence to develop modular, on-chain agents capable of autonomously handling tasks such as portfolio management and trend analysis. By leveraging advanced agent swarms, Theoriq enables collaborative intelligence within decentralized finance (DeFi), fostering an open and transparent AI economy. The platform's architecture supports seamless integration of data sources, AI models, and computational infrastructure, allowing for adaptable and scalable agentic solutions.

Theoriq AI

theoriq-ai

A decentralized AI protocol integrating blockchain to create modular, on-chain agents for autonomous tasks.

Sahara AI is a decentralized blockchain platform designed to prioritize the sovereignty and provenance of artificial intelligence. By integrating blockchain technology with AI, Sahara AI offers a secure and equitable infrastructure where users, data contributors, model creators, and application developers can maintain control over their AI assets. The platform fosters an open and transparent AI economy, ensuring fair attribution and compensation for all participants. In August 2024, Sahara AI raised $43 million in a Series A funding round led by Pantera Capital, Binance Labs, and Polychain Capital, with participation from Samsung NEXT, Matrix Partners, and others. This funding supports the expansion of their global team, enhancement of platform performance, and growth of their developer ecosystem.

Sahara AI

sahara-ai

A decentralized AI blockchain platform ensuring security, equity, and accessibility for AI assets.

Fleek is an open-source platform that streamlines the creation and deployment of autonomous applications and AI agents. It offers a verifiable, auto-scalable cloud environment, enabling developers to launch AI agents with minimal effort. With features like one-click deployments and pre-built templates, Fleek simplifies the process of integrating AI functionalities into various applications. The platform supports seamless interaction with on-chain environments, allowing AI agents to perform blockchain-specific tasks and respond intelligently to user requests.

Fleek

fleek

A platform for building and deploying autonomous apps and AI agents on an open-source, auto-scalable cloud.

NetX is a modular economic network developed by TRIAS ECO, seamlessly integrating artificial intelligence and blockchain technologies. It pioneers AI agent-based interaction models, enabling autonomous agents to perform various tasks within a decentralized ecosystem. NetX's mainnet launch signifies a significant advancement in AI-powered blockchain applications, offering a platform where AI agents can operate, interact, and transact autonomously. This integration facilitates innovative solutions across industries, enhancing efficiency and fostering new economic models.

NetX

netx

A modular economic network integrating AI and blockchain for agent-based interactions.

Snorkel Flow is an AI data development platform designed to expedite enterprise AI initiatives by enabling programmatic curation of training data. It allows data scientists and subject matter experts to collaboratively capture domain knowledge, apply it to label entire datasets, and iteratively develop models with built-in error analysis and evaluation tools. By integrating seamlessly with existing AI/ML stacks, Snorkel Flow supports fine-tuning of large language models (LLMs) for specialized tasks, optimizing retrieval-augmented generation (RAG) pipelines, and enhancing model accuracy across various data modalities.

Snorkel Flow

snorkel-flow

An AI data development platform accelerating enterprise AI by programmatically curating training data.

Rivalz Network is developing the World Abstraction Layer, an infrastructure that abstracts the complexities of connecting AI services and agents to various real-world resources. This platform enables seamless interaction between AI agents and digital or physical assets, unlocking the full potential of an agent-centric future. The network comprises five core modules: ROME (Swarm Protocol), OCY DePIN (Data Module), ADCS (Connectivity Module), NOSTRINGS (Identity Module), and VORD (Application Module), each serving a specific function to create a holistic ecosystem for AI agents.

Rivalz Network

rivalz-network

A platform providing infrastructure for AI agents to interact with real-world resources seamlessly.