A TypeScript-based framework by AI16z with ~60% market share. Features extensive multi-agent simulation capabilities, cross-platform social engagement, and a thriving community of 6,000+ GitHub stars. Leading framework for creating AI agents that handle trading, social interactions, and community management.

A Python-based framework (~5% market share) by Zerebro team for deploying creative AI agents on X. Built from a modularized version of the Zerebro backend, focusing on artistic outputs and social media automation.

A Rust-based framework (~15% market share) for building portable, modular, and high-performance Fullstack AI Agents. Specializes in enterprise-grade applications with emphasis on retrieval-augmented generation, particularly within the Solana ecosystem.

A framework with innovative Oracle and ERCData systems for enhanced external data integration and hierarchical data storage. Features multi-layered cognitive architecture focusing on pattern recognition and context awareness.

A Python-based lightweight framework offering decentralized AI infrastructure with compute through miners, file storage, open-source LLM APIs, and native crypto wallet integration. Focuses on cost-effectiveness and decentralization.

The Generative Autonomous Multimodal Entities framework by Virtuals (~20% market share) designed for gaming agents. Features 200+ projects, 150K daily requests, and rapid weekly growth. Includes built-in ERC6551 wallets, knowledge graphs, memory embeddings, and reinforcement learning.

Fully onchain autonomous AI agents built on Sui Move. Nexus enables developers to create Talus Agents - AI-powered digital assistants that live and operate directly on Talus Network with censorship resistance, transparency, and composability.

A dedicated fine-tuning framework for creating Xenobots - dynamic data agents that evolve through continuous data gathering and integration. The framework provides a robust pipeline for processing, refining, and integrating datasets to create unique conversational agents.

An open-source AgentOS framework for building production-ready multi-agent systems. Enables seamless orchestration of multiple AI agents that can collaborate autonomously or with human oversight.

A framework for orchestrating role-playing autonomous AI agents. Enables collaborative task completion through agents working together, with built-in task planning, delegation, and execution capabilities.

A framework for developing applications powered by language models, featuring components for working with LLMs, prompt management, memory systems, and agent tools. Supports both Python and JavaScript.

A framework for solving AI tasks with language models through programmatic prompt optimization. Features automatic prompt improvement, structured prediction, and compiler-like optimization of LLM programs.

A toolkit for building AI-powered applications and autonomous AI agents using Python. Features include LLM workflows, vector stores, and streamlined deployment to AWS/local environments.

A framework for developing multi-agent conversations that enables autonomous and chat-based agents. Features automated task solving, human-AI collaboration, and customizable agent roles with conversational memory.

A framework for developing autonomous economic agents that can participate in decentralized markets and perform complex economic operations.

A decentralized machine learning network that allows for the creation and deployment of AI models in a peer-to-peer network.

An AI agent framework focused on natural conversation and task automation with advanced memory management.

A framework for building AI agents that can interact with shell commands and system operations.

A library for building stateful, multi-agent applications with LangChain.

A foundational framework for building autonomous, distributed agent systems in Elixir.

An autonomous agent framework that enables the creation and management of AI agents with various capabilities including blockchain interactions, social media management, and custom skill integration. Features multiple agent support, autonomous agent management, blockchain integration, and an extensible skill system.

A modular, decentralized AI framework designed to empower autonomous agents with advanced capabilities such as reinforcement learning, swarm intelligence, multi-modal processing, blockchain interaction, and democratic decision-making. Features decentralized cognitive mesh for self-organizing autonomous intelligence.

An Artificial Intelligence Automation Platform that provides a framework for building and deploying AI agents.

Framework for creating complex LLM workflows from simple JSON configurations, enabling easy orchestration of AI agents.

Framework for building LLM-empowered multi-agent applications with simplified orchestration and management.

Reliable agent framework built on top of the latest OpenAI Assistants API, providing enhanced agent capabilities.

The building blocks for building chatbots and conversational AI agents with a focus on natural language processing.

Framework for designing and deploying Large Language Model applications with focus on production deployment.

NLP framework to interact with data using Transformer models and LLMs, focusing on production-ready applications.

A lightweight framework for building LLM-based agents with minimal overhead and simple integration.

Agentic components of the Llama Stack APIs, providing tools for building AI agents with Llama models.

Framework that provides a central interface to connect LLMs with external data sources and processing capabilities.

Framework specifically designed for Claude Opus to intelligently orchestrate subagents with advanced coordination.

Multi-Agent Meta Programming Framework that can generate PRD, Design, Tasks, Repo and CI from a single line requirement.

Microsoft's C# SDK for integrating cutting-edge LLM technology quickly and easily into applications.

Educational framework by OpenAI exploring ergonomic, lightweight multi-agent orchestration patterns.

Framework that provides a natural language API on top of transformers, simplifying interaction with transformer models.

Olas is an open-source framework for building autonomous, decentralized AI agents that operate off-chain and are secured and co-owned on-chain.

HyperAI is a platform and framework for creating, managing, and trading with AI agents within the Hyperliquid ecosystem.

Arbius is a decentralized AI framework leveraging peer-to-peer GPU networks for hosting, monetizing, and scaling AI models on the blockchain.

An open-source framework for creating autonomous, self-sufficient AI agents with both on-chain and off-chain execution capabilities. Features dynamic evolution systems, cross-chain communication, and simulation environments for multi-agent scenarios.

A framework for creating AI-driven task pipelines and multi-agent teams, focusing on collaborative task execution and agent orchestration.

A decentralized computing infrastructure that enables everyone to create, deploy, scale, and monetize their own AI agents that reflect their styles, values, knowledge, and expertise. Features web-based chatbot UI and OpenAI-compatible API.

An AI-powered autonomous agent designed to engage in decentralized game mechanics involving cryptocurrency pools. Users try to outsmart the AI to access a prize pool, showcasing AI's evolving decision-making and adaptive learning.

Automata Network is a machine attestation layer that integrates TEEs into decentralized systems. We're bringing machine verification onchain, including infrastructure running AI Agents. Beyond verifying an agent's identity and integrity, we focus on making the entire stack verifiable, including the data sources AI Agents rely on. We shared more in our recent blog post: https://blog.ata.network/verifiability-as-the-missing-piece-for-ai-agents-in-web3-504839dca893

LibertAI's agent framework, a newly launched framework designed to be integrable with any Python libraries/tools (including but not limited to langchain ones) with seamless deployment on Aleph.im's decentralized cloud (also using open source models deployed in TEEs on the Aleph network).

An open platform to empower everyone to create, deploy, and monetize AI Agent! Backed by leading partners such as Hashkey Group and CSDN Global, AON taps into a network of 60 million Chinese developers, aiming to onboard 10 million Web3 users.

Eidolon is an enterprise-grade open-source framework designed to help developers build and deploy AI agent applications. It focuses on creating AI agents that are easy to define and deploy, with a focus on scalability and security through Kubernetes. Eidolon also provides tools to integrate agents into applications via REST API, WebUI, and CLI. It is ideal for building multi-agent systems and offers flexibility with pluggable frameworks and customizable features.

An open-source framework designed for integrating AI agents with various apps, both Web2 and Web3, and it supports function calling. It allows seamless integration of AI agents with tools like Solana Wallet, Twitter, and Superteam Earn, and offers features like agent authentication and support for multiple frameworks such as Langchain and Vercel AI.

TapeAgents is a framework designed to streamline the development and optimization of Large Language Model (LLM) agents. It utilizes a structured, replayable log (referred to as a 'tape') to record each step of an agent's session, enabling session persistence and facilitating debugging.

A Python-based (with some ClickOps) suite of tools by EmpyrealSDK for integrating AI agents with blockchain interactions. It provides a simple interface for AI agents to execute onchain actions through smart contract calls, fetch and analyze blockchain data to inform decision making, monitor real-time blockchain activity and market conditions, interact with popular AI models like OpenAI and Anthropic, and create autonomous agents that combine data analysis with onchain execution.

An AI development platform that blends philosophical and technical principles to create reflective, evolving AI agents. It allows developers to define AI characters, integrate external tools, and build dynamic activities that can evolve based on the agent's memory and experience. The framework is designed to be modular, enabling new capabilities to be added or disabled as needed. While still under active development, it aims to offer a meaningful approach to autonomous AI creation.

Saios provides an AI agent framework, designed to help build, manage, and deploy AI agents. It offers capabilities for integrating and scaling AI-driven systems, focusing on creating a structured environment for agent development. This platform supports various AI workflows, making it more of a framework rather than just a simple tool.

The ultimate hub for verifiable AI inference and AI agents, with real-time performance metrics and Proof of Inference for unparalleled transparency. Be rewarded for your creations, performance and feedbacks. Our platform uniquely aggregates multiple AI models and agents, and proposes the most optimal solution post-inference for every user's needs. This process is underpinned by rigorous validation (heavy technical and human eval) to ensure the highest standards of security and privacy.

QuantaLogic is an innovative AI agent platform that can handle complex, multi-step tasks through natural language commands. One of its most powerful features is the ability to generate comprehensive content from simple prompts.

Dify.ai is an open-source LLM application development platform that integrates Backend-as-a-Service (BaaS) and LLMOps. It provides a comprehensive suite of tools for both developers and non-technical users to streamline the creation and operation of AI-powered applications.

The Matrix One protocol consists of a modular suite of tools, SDKs and APIs to enable developers to create interactive 3D AI companions out of the box. The protocol currently encompasses four larger groups of modules designed to streamline the creation, distribution, and utilization of AI agents.

Cel.ai is a Python framework designed to build omnichannel virtual assistants. It supports integrations with platforms like WhatsApp, Telegram, and VAPI, offering tools for rapid development, custom connectors, middlewares, and extensibility. It's asynchronous, scalable, and open-source, making it suitable for developers looking to create AI assistants across various messaging channels with minimal setup.

OpenServ AI is a platform focused on open and customizable AI solutions for various applications. It provides tools and infrastructure to build, deploy, and manage AI-driven services effectively.

A comprehensive AI agent framework that allows users to build, customize, and deploy AI agents. Key highlights include document-based training, integrations and plugins, model flexibility, developer and admin tools, advanced conversational capabilities, and easy deployment.

Enso is a platform designed to streamline the process of building and launching on-chain applications. It maps every on-chain interaction to a shared engine, eliminating the need for manual blockchain or smart contract integrations.