Best AI tools for< Create Agents >

MetaGPT is a multi-agent framework that assigns different roles to GPTs to create a collaborative software entity for handling complex tasks. It allows users to explore agent creation, configuration, and management, along with practical applications through demos and case studies. The tool facilitates workflow and process orchestration in multi-agent systems, providing a versatile platform for various projects. MetaGPT is released under the MIT License and is developed by Alexander Wu.

Teamday.ai is an AI workforce platform that helps users scale execution by leveraging AI agents that work 24/7. The platform offers a range of features such as building AI teams, curated AI newsfeed, real feedback from users, and a blog with stories and insights. Users can create agents for tasks like SEO analysis, newsletter creation, and daily newsfeed curation. Teamday.ai aims to empower users to harness the power of AI technology in their daily tasks and projects.

AgentGPT is an AI tool designed to assist users in various tasks by generating text based on specific inputs. It leverages the power of AI to provide solutions for web scraping, report creation, trip planning, study plan development, and more. Users can easily create agents with specific goals and deploy them for efficient results. The tool offers a user-friendly interface and a range of pre-built examples to help users get started quickly and effectively.

PlayAI is an AI tool designed for businesses and developers to create voice interfaces effortlessly. The platform allows users to generate conversational agents by simply tapping or clicking, enabling them to shuffle, share, and clone voices. PlayAI offers a user-friendly interface for building agents, making it easy to customize and deploy voice interactions. With a focus on simplicity and efficiency, PlayAI aims to revolutionize the way businesses and developers engage with their audience through voice technology.

Build Club is an AI tool designed to help individuals learn and explore various aspects of artificial intelligence. The platform offers a wide range of courses, challenges, hackathons, and community projects to enhance users' AI skills. Users can build AI models for tasks like image and video generation, AI marketing, and creating AI agents. Build Club aims to create a collaborative learning environment for AI enthusiasts to grow their knowledge and skills in the field of artificial intelligence.

ResolveAI is a platform that allows users to create and train AI agents for customer service. These agents can be used to automate tasks such as answering FAQs, scheduling meetings, and collecting leads. ResolveAI's agents are trained using a variety of sources, including documents, website pages, and live data sources. Once trained, agents can be customized to fit the user's brand and integrated with a variety of platforms, including websites, social media, and messaging apps.

SmythOS is an AI-powered platform that allows users to create and deploy AI agents in minutes. With a user-friendly interface and drag-and-drop functionality, SmythOS enables users to build custom agents for various tasks without the need for manual coding. The platform offers pre-built agent templates, universal integration with AI models and APIs, and the flexibility to deploy agents locally or to the cloud. SmythOS is designed to streamline workflow automation, enhance productivity, and provide a seamless experience for developers and businesses looking to leverage AI technology.

Mindset AI is an AI tool that enables users to create AI agents in seconds using simple language. It helps speed up teams' work by allowing the creation of AI agents without the need for coding. Users can write, retrieve information, brainstorm, and more securely using their company's knowledge in a collaborative workspace. Mindset AI offers features such as AI agent builder, integrated knowledge banks, guided conversational search, capabilities for process description, and AI model selector.

Flutch is a platform that specializes in custom AI agent development for various tasks. It offers AI agents support with measurable effects, from proof of concept to production. The platform provides integrations with systems and knowledge bases, full analytics, and quality control. Users can manage agents without the need for developers, enabling them to configure prompts, connect knowledge bases, and configure logic through an intuitive web interface. Flutch emphasizes cost control, security, and transparent management of AI agents, ensuring data security and control. The platform also offers a custom agent development service for unique business processes, including business process analysis, AI strategy, integration with systems, team training, and support.

Dappier is a platform that enables publishers and AI developers to monetize their content by creating branded AI agents and syndicating trusted, rights-cleared data. Users can easily connect their data sources, transform content for AI interaction, and launch custom AI agents for natural search and content recommendations. The platform offers a self-serve fine-tuning platform and a marketplace for syndicating content to AI developers, enabling users to generate new revenue streams. Dappier prioritizes data security and privacy, ensuring that training data is never shared with external parties.

Voiceflow is a powerful, flexible, and collaborative platform for building AI automation. It allows teams of any size to build agents of any scale and complexity, easily. Voiceflow's visual workflow builder is used by developers and designers to collaboratively create, iterate, and ship complex agents. Voiceflow also offers a central CMS for managing all of your agent content, including variables, intents, entities, and knowledge base sources. With Voiceflow, you can integrate with any API or service, share and test prototypes, and launch agents to any interface.

Millis AI is an instant, natural, and affordable voice AI platform designed for developers to create cutting-edge voice agents with low latency. The platform offers optimized conversation flow handling, affordable accessibility, seamless integration, and scalable expertise. With rates starting at $0.06/min, Millis AI enables users to build human-like voice agents that can manage interruptions and understand human intent. The platform also provides DevOps engineers' expertise in scaling systems for enterprise-level applications.

OAK is an open-source platform for building and deploying custom AI agents quickly and easily. It offers a modular design, powerful plugins, and seamless integration with various AI models. OAK is scalable, flexible, and developer-friendly, allowing users to create AI agents in minutes without hassle.

Sema4.ai is an AI application that enables enterprises to build, run, and manage intelligent AI Agents to transform how people work. It helps teams create powerful agents that act against enterprise systems using LLMs. Sema4.ai aims to close the automation gap by combining actions, intelligence, and enterprise context to revolutionize work processes and collaboration.

echowin is an AI Voice Agent Builder Platform that enables businesses to create AI agents for calls, chat, and Discord. It offers a comprehensive solution for automating customer support with features like Agentic AI logic and reasoning, support for over 30 languages, parallel call answering, and 24/7 availability. The platform allows users to build, train, test, and deploy AI agents quickly and efficiently, without compromising on capabilities or scalability. With a focus on simplicity and effectiveness, echowin empowers businesses to enhance customer interactions and streamline operations through cutting-edge AI technology.

Unfetch is an online IDE that enables users to generate, deploy, and run AI agents to automate various tasks. It combines coding capabilities with an online deployment platform, making it easy to create AI agents. Unfetch agents are designed specifically for AI tasks and are compatible with tools like Open AI GPT Store and Langchain. Users can build and deploy AI agents to solve a wide range of tasks efficiently.

Dify.AI is a generative AI application development platform that allows users to create AI agents, chatbots, and other AI-powered applications. It provides a variety of tools and services to help developers build, deploy, and manage their AI applications. Dify.AI is designed to be easy to use, even for those with no prior experience in AI development.

AI Chatbot Hub is a no-code AI chatbot platform that allows users to create AI agents quickly and easily. Users can build AI chatbots in minutes, customize appearance, track every chat with variables and labels, and integrate the chatbots anywhere. The platform offers features like lead collection, dynamic webhooks, file upload, human support, auto chatbot re-train, function calling, training files, sources and citations, and fine-tune intents. AI Chatbot Hub is suitable for various industries such as customer support, real estate, healthcare, restaurants, e-commerce, insurance, and contractors. It offers flexible pricing plans catering to small businesses and growing brands, with features like unlimited messages, AI agents, storage space, collaborators, tokens per chatbot, AI models, variables, conversation labels, and more.

Sahara AI is a decentralized AI blockchain platform designed for an open, equitable, and collaborative economy. It offers solutions for personal and business use, empowering users to monetize knowledge, enhance team collaboration, and explore AI opportunities. Sahara AI ensures AI sovereignty, user privacy, and transparency through blockchain technologies. The platform fosters a collaborative AI development environment with decentralized governance and equitable monetization. Sahara AI features secure vaults, a decentralized AI marketplace, a no-code toolkit, and SaharaID reputation system. It is backed by visionary investors and ecosystem partners, with a roadmap for future developments.

Upstage is an Artificial General Intelligence (AGI) application designed to enhance work productivity by automating simple tasks and providing decision support through generative Business Intelligence (BI) knowledge and numerical understanding. The application offers various features such as Document AI, Solar LLM, and Developers Demo Playground, enabling users to automate tasks, extract key information from documents, and create conversational agents. Upstage aims to streamline workflow automation and improve efficiency in various domains such as healthcare, finance, and law.

Honcho is a platform for creating personalized AI agents and LLM powered applications for end users. The repository is a monorepo containing the server/API for managing database interactions and storing application state, along with a Python SDK. It utilizes FastAPI for user context management and Poetry for dependency management. The API can be run using Docker or manually by setting environment variables. The client SDK can be installed using pip or Poetry. The project is open source and welcomes contributions, following a fork and PR workflow. Honcho is licensed under the AGPL-3.0 License.

Sagentic.ai Agent Framework is a tool for creating AI agents with hot reloading dev server. It allows users to spawn agents locally by calling specific endpoint. The framework comes with detailed documentation and supports contributions, issues, and feature requests. It is MIT licensed and maintained by Ahyve Inc.

tinyllm is a lightweight framework designed for developing, debugging, and monitoring LLM and Agent powered applications at scale. It aims to simplify code while enabling users to create complex agents or LLM workflows in production. The core classes, Function and FunctionStream, standardize and control LLM, ToolStore, and relevant calls for scalable production use. It offers structured handling of function execution, including input/output validation, error handling, evaluation, and more, all while maintaining code readability. Users can create chains with prompts, LLM models, and evaluators in a single file without the need for extensive class definitions or spaghetti code. Additionally, tinyllm integrates with various libraries like Langfuse and provides tools for prompt engineering, observability, logging, and finite state machine design.

Council is an open-source platform designed for the rapid development and deployment of customized generative AI applications using teams of agents. It extends the LLM tool ecosystem by providing advanced control flow and scalable oversight for AI agents. Users can create sophisticated agents with predictable behavior by leveraging Council's powerful approach to control flow using Controllers, Filters, Evaluators, and Budgets. The framework allows for automated routing between agents, comparing, evaluating, and selecting the best results for a task. Council aims to facilitate packaging and deploying agents at scale on multiple platforms while enabling enterprise-grade monitoring and quality control.

Mentals AI is a tool designed for creating and operating agents that feature loops, memory, and various tools, all through straightforward markdown syntax. This tool enables you to concentrate solely on the agent’s logic, eliminating the necessity to compose underlying code in Python or any other language. It redefines the foundational frameworks for future AI applications by allowing the creation of agents with recursive decision-making processes, integration of reasoning frameworks, and control flow expressed in natural language. Key concepts include instructions with prompts and references, working memory for context, short-term memory for storing intermediate results, and control flow from strings to algorithms. The tool provides a set of native tools for message output, user input, file handling, Python interpreter, Bash commands, and short-term memory. The roadmap includes features like a web UI, vector database tools, agent's experience, and tools for image generation and browsing. The idea behind Mentals AI originated from studies on psychoanalysis executive functions and aims to integrate 'System 1' (cognitive executor) with 'System 2' (central executive) to create more sophisticated agents.

Agent Pilot is an open source desktop app for creating, managing, and chatting with AI agents. It features multi-agent, branching chats with various providers through LiteLLM. Users can combine models from different providers, configure interactions, and run code using the built-in Open Interpreter. The tool allows users to create agents, manage chats, work with multi-agent workflows, branching workflows, context blocks, tools, and plugins. It also supports a code interpreter, scheduler, voice integration, and integration with various AI providers. Contributions to the project are welcome, and users can report known issues for improvement.

Shinkai apps unlock the full capabilities/automation of first-class LLM (AI) support in the web browser. It enables creating multiple agents, each connected to either local or 3rd-party LLMs (ex. OpenAI GPT), which have permissioned (meaning secure) access to act in every webpage you visit. There is a companion repo called Shinkai Node, that allows you to set up the node anywhere as the central unit of the Shinkai Network, handling tasks such as agent management, job processing, and secure communications.

LLM Functions is a project that enables the enhancement of large language models (LLMs) with custom tools and agents developed in bash, javascript, and python. Users can create tools for their LLM to execute system commands, access web APIs, or perform other complex tasks triggered by natural language prompts. The project provides a framework for building tools and agents, with tools being functions written in the user's preferred language and automatically generating JSON declarations based on comments. Agents combine prompts, function callings, and knowledge (RAG) to create conversational AI agents. The project is designed to be user-friendly and allows users to easily extend the capabilities of their language models.

Mastra is an opinionated Typescript framework designed to help users quickly build AI applications and features. It provides primitives such as workflows, agents, RAG, integrations, syncs, and evals. Users can run Mastra locally or deploy it to a serverless cloud. The framework supports various LLM providers, offers tools for building language models, workflows, and accessing knowledge bases. It includes features like durable graph-based state machines, retrieval-augmented generation, integrations, syncs, and automated tests for evaluating LLM outputs.

SwarmZero SDK is a library that simplifies the creation and execution of AI Agents and Swarms of Agents. It supports various LLM Providers such as OpenAI, Azure OpenAI, Anthropic, MistralAI, Gemini, Nebius, and Ollama. Users can easily install the library using pip or poetry, set up the environment and configuration, create and run Agents, collaborate with Swarms, add tools for complex tasks, and utilize retriever tools for semantic information retrieval. Sample prompts are provided to help users explore the capabilities of the agents and swarms. The SDK also includes detailed examples and documentation for reference.

Agentarium is a powerful Python framework for managing and orchestrating AI agents with ease. It provides a flexible and intuitive way to create, manage, and coordinate interactions between multiple AI agents in various environments. The framework offers advanced agent management, robust interaction management, a checkpoint system for saving and restoring agent states, data generation through agent interactions, performance optimization, flexible environment configuration, and an extensible architecture for customization.

Floki is an open-source framework for researchers and developers to experiment with LLM-based autonomous agents. It provides tools to create, orchestrate, and manage agents while seamlessly connecting to LLM inference APIs. Built on Dapr, Floki leverages a unified programming model that simplifies microservices and supports both deterministic workflows and event-driven interactions. By bringing together these features, Floki provides a powerful way to explore agentic workflows and the components that enable multi-agent systems to collaborate and scale, all powered by Dapr.

LLM Agents is a small library designed to build agents controlled by large language models. It aims to provide a better understanding of how such agents work in a concise manner. The library allows agents to be instructed by prompts, use custom-built components as tools, and run in a loop of Thought, Action, Observation. The agents leverage language models to generate Thought and Action, while tools like Python REPL, Google search, and Hacker News search provide Observations. The library requires setting up environment variables for OpenAI API and SERPAPI API keys. Users can create their own agents by importing the library and defining tools accordingly.

Eternal AI is an open source AI protocol for fully onchain agents, enabling developers to create various types of onchain AI agents without middlemen. It operates on a decentralized infrastructure with state-of-the-art models and omnichain interoperability. The protocol architecture includes components like ai-kernel, decentralized-agents, decentralized-inference, decentralized-compute, agent-as-a-service, and agent-studio. Ongoing research projects include cuda-evm, nft-ai, and physical-ai. The system requires Node.js, npm, Docker Desktop, Go, and Ollama for installation. The 'eai' CLI tool allows users to create agents, fetch agent info, list agents, and chat with agents. Design principles focus on decentralization, trustlessness, production-grade quality, and unified agent interface. Featured integrations can be quickly implemented, and governance will be overseen by EAI holders in the future.

AutoAgent is a fully-automated and zero-code framework that enables users to create and deploy LLM agents through natural language alone. It is a top performer on the GAIA Benchmark, equipped with a native self-managing vector database, and allows for easy creation of tools, agents, and workflows without any coding. AutoAgent seamlessly integrates with a wide range of LLMs and supports both function-calling and ReAct interaction modes. It is designed to be dynamic, extensible, customized, and lightweight, serving as a personal AI assistant.

cagent is a powerful and easy-to-use multi-agent runtime that orchestrates AI agents with specialized capabilities and tools, allowing users to quickly build, share, and run a team of virtual experts to solve complex problems. It supports creating agents with YAML configuration, improving agents with MCP servers, and delegating tasks to specialists. Key features include multi-agent architecture, rich tool ecosystem, smart delegation, YAML configuration, advanced reasoning tools, and support for multiple AI providers like OpenAI, Anthropic, Gemini, and Docker Model Runner.

opcode is a powerful desktop application built with Tauri 2 that serves as a command center for interacting with Claude Code. It offers a visual GUI for managing Claude Code sessions, creating custom agents, tracking usage, and more. Users can navigate projects, create specialized AI agents, monitor usage analytics, manage MCP servers, create session checkpoints, edit CLAUDE.md files, and more. The tool bridges the gap between command-line tools and visual experiences, making AI-assisted development more intuitive and productive.

Dive is an AI toolkit for Go that enables the creation of specialized teams of AI agents and seamless integration with leading LLMs. It offers a CLI and APIs for easy integration, with features like creating specialized agents, hierarchical agent systems, declarative configuration, multiple LLM support, extended reasoning, model context protocol, advanced model settings, tools for agent capabilities, tool annotations, streaming, CLI functionalities, thread management, confirmation system, deep research, and semantic diff. Dive also provides semantic diff analysis, unified interface for LLM providers, tool system with annotations, custom tool creation, and support for various verified models. The toolkit is designed for developers to build AI-powered applications with rich agent capabilities and tool integrations.

LangChain for Java simplifies integrating Large Language Models (LLMs) into Java applications by offering unified APIs for various LLM providers and embedding stores. It provides a comprehensive toolbox with tools for prompt templating, chat memory management, function calling, and high-level patterns like Agents and RAG. The library supports 15+ popular LLM providers and 15+ embedding stores, offering numerous examples to help users quickly start building LLM-powered applications. LangChain4j is a fusion of ideas from various projects and actively incorporates new techniques and integrations to keep users up-to-date. The project is under active development, with core functionality already in place for users to start building LLM-powered apps.

NPC Studio is an AI IDE that allows users to have conversations with LLMs and Agents, edit files, explore data, execute code, and more. It provides a chat interface for organizing conversations, creating and managing AI agents and tools, editing plain text files, analyzing text files with AI, using tiles for conversation, accessing various menus, settings, and a data dashboard. The tool also offers features for photo editing, web browsing with AI, PDF analysis, and development setup instructions for electron-based frontend with a Python Flask backend.

Coze Studio is an all-in-one AI agent development tool that offers the most convenient AI agent development environment, from development to deployment. It provides core technologies for AI agent development, complete app templates, and build frameworks. Coze Studio aims to simplify creating, debugging, and deploying AI agents through visual design and build tools, enabling powerful AI app development and customized business logic. The tool is developed using Golang for the backend, React + TypeScript for the frontend, and follows microservices architecture based on domain-driven design principles.

OpenMind's OM1 is a modular AI runtime empowering developers to create and deploy multimodal AI agents across digital environments and physical robots. OM1 agents process diverse inputs like web data, social media, camera feeds, and LIDAR, enabling actions including motion, autonomous navigation, and natural conversations. The goal is to create highly capable human-focused robots that are easy to upgrade and reconfigure for different physical form factors. OM1 features a modular architecture, supports new hardware via plugins, offers web-based debugging display, and pre-configured endpoints for various services.

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