AI Agent Tools

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.