Best AI tools for< Build Autonomous Agents >

n8n is a powerful workflow automation software and tools that offer advanced AI capabilities. It is a popular platform for technical teams to automate workflows, integrate various services, and build autonomous agents. With over 400 integrations, n8n enables users to save time, streamline operations, and enhance security through AI-driven processes. The tool supports self-hosting, external libraries, and offers enterprise-ready solutions for scaling operations. n8n empowers users to code iteratively, explore advanced AI features, and create complex workflows with ease.

n8n is a powerful workflow automation software and tool that offers advanced AI capabilities. It is a popular platform for technical teams to automate workflows, integrate various services, and build autonomous agents. With over 400 integrations, n8n enables users to save time, streamline operations, and enhance security through AI-powered solutions. The tool supports self-hosting, external libraries, and a user-friendly interface for both coding and non-coding users.

ResponseCX is an AI tool designed for Shopify brands to build autonomous AI Agents for customer support. It enables fast-growing ecommerce organizations to deploy custom AI agents in record time, providing a dedicated AI engineer to assist in the process. ResponseCX allows brands to consolidate all platforms into one place to create customized, on-brand AI Agents capable of fully autonomous ticket resolution. The tool offers features such as fast learning, fast deployment, 100% uptime, and unlimited ticket volume, leading to significant cost reductions and improved customer satisfaction.

NexusGPT is an AI tool that allows users to build and integrate custom AI agents to automate workflows without the need for coding. The platform offers a marketplace of tools and integrations, ready-made agents, and the ability to connect with various apps. Users can create autonomous agents that can complete complex tasks by planning and executing. NexusGPT aims to make agent creation, tailoring, and deployment as easy as possible, empowering users to enhance their agent's capabilities with a wide range of tools and AI models.

Relevance AI is a platform that allows users to build and deploy AI applications and agents. The platform provides a no-code builder, pre-built templates, and integrations with other tools and services. Relevance AI can be used for a variety of tasks, including sales, marketing, customer support, research, and operations.

SuperAGI is a leading research organization focused on Generalized Super Intelligence. They work on research in technical areas such as Neurosymbolic AI, Autonomous Agents & Multi-Agent Systems, New Model Architectures, System 2 Thinking, Recursive Self-Improving Systems, and other socio-economic super AGI-related topics such as Digital Workforce, Algorithmic Governance, UBI, etc.

re:tune is a no-code AI app solution that provides everything you need to transform your business with AI, from custom chatbots to autonomous agents. With re:tune, you can build chatbots for any use case, connect any data source, and integrate with all your favorite tools and platforms. re:tune is the missing platform to build your AI apps.

LlamaIndex is a framework for building context-augmented Large Language Model (LLM) applications. It provides tools to ingest and process data, implement complex query workflows, and build applications like question-answering chatbots, document understanding systems, and autonomous agents. LlamaIndex enables context augmentation by combining LLMs with private or domain-specific data, offering tools for data connectors, data indexes, engines for natural language access, chat engines, agents, and observability/evaluation integrations. It caters to users of all levels, from beginners to advanced developers, and is available in Python and Typescript.

Beam AI is a leading platform for Agentic Automation and AI Agents, offering solutions for automating manual workflows with AI agents to boost productivity. The platform is used by Fortune 500 companies and scale-ups, providing a seamless experience from start to finish. With features like pre-trained agents, integrations, and easy-to-navigate UI, Beam AI empowers users to create and deploy AI tools tailored to their specific needs. The platform is designed to scale any business, offering industry-specific solutions and world-class support for building AI-native organizations.

Growth Makers is an AI-powered marketing team that helps businesses grow through growth hacking and marketing strategies. The AI assistants are trained to find clever ways to achieve explosive growth quickly. They perform in-depth research on your target audience, market, USP, UVP, keywords, landing page, pricing, and more to craft winning marketing strategies. Growth Makers can also create blogs and social media content, build a consistent content calendar, conduct competitive keyword research, analyze audience response to refine content strategies, identify hidden growth channels, and make data-driven decisions based on Google Analytics metrics.

Tely is an autonomous AI agent that helps businesses run B2B content marketing. It uses machine learning to understand your product, build domain expertise, run SEO optimization, and create a content plan. Tely can also personalize your content with infographics, code snippets, experts' quotes, and call to actions. With Tely, you can drive sales with expert-level content on autopilot, reduce customer acquisition cost, increase conversion rate, and save money on marketing expenses.

Duckietown is a platform for delivering cutting-edge robotics and AI learning experiences. It offers teaching resources to instructors, hands-on activities to learners, an accessible research platform to researchers, and a state-of-the-art ecosystem for professional training. Duckietown's mission is to make robotics and AI education state-of-the-art, hands-on, and accessible to all.

Forethought is a customer support AI platform that uses generative AI to automate tasks and improve efficiency. It offers a range of features including automatic ticket resolution, sentiment analysis, and agent assist. Forethought's platform is designed to help businesses save costs, improve customer satisfaction, and increase agent productivity.

Nexa is an autonomous AI tool designed for Sales and Marketing teams. It uses AI agents to unify data from various tools, generating valuable insights to enhance sales performance and optimize marketing spend. The platform is built for high-growth startups post Series A funding, offering seamless data integration and instant access to revenue-driving insights. Nexa aims to streamline data analysis processes and boost productivity by providing a user-friendly interface and customizable features.

Kusho is an AI-powered tool designed to help software developers build bug-free software efficiently. It offers the capability to transform API specs into exhaustive test suites that seamlessly integrate into the CI/CD pipeline. With KushoAI, developers can generate robust AI-generated test suites, receive AI-analyzed test results, and modify code instantly based on real-time reports. The tool is customizable to meet company's context and understands natural language prompts to produce test case code instantly. KushoAI ensures maximum test coverage in minutes, saves hours of manual effort, and adapts to the codebase to prevent missing any test cases.

Dropzone AI is an award-winning AI application designed to reinforce Security Operations Centers (SOCs) by providing autonomous AI analysts. It replicates the techniques of elite analysts to autonomously investigate alerts, covering various use cases such as phishing, endpoint, network, cloud, identity, and insider threats. The application offers pre-trained AI agents that work alongside human analysts, automating investigation tasks and providing fast, detailed, and accurate reports. With built-in integrations with major security tools, Dropzone AI aims to reduce Mean Time to Respond (MTTR) and allow analysts to focus on addressing real threats.

Botonomous is an AI-powered platform that helps businesses automate their workflows. With Botonomous, you can create advanced automations for any domain, check your flows for potential errors before running them, run multiple nodes concurrently without waiting for the completion of the previous step, create complex, non-linear flows with no-code, and design human interactions to participate in your automations. Botonomous also offers a variety of other features, such as webhooks, scheduled triggers, secure secret management, and a developer community.

Height is an autonomous project management tool designed for teams involved in designing and building projects. It automates manual tasks to provide space for collaborative work, focusing on backlog upkeep, spec updates, and bug triage. With project intelligence and collaboration features, Height offers a customizable workspace with autonomous capabilities to streamline project management. Users can discuss projects in context and benefit from an AI assistant for creating better stories. The tool aims to revolutionize project management by offloading routine tasks to an intelligent system.

AIM is an intelligent machine application that transforms existing heavy equipment into fully autonomous machines. It automates various heavy machines to make jobs faster and safer, with a track record of 0 accidents. AIM enables equipment to run autonomously every day of the year, in any weather conditions, without operators, ensuring 360-degree safety. The application retrofits any earthmoving machine, regardless of age or brand, while preserving manual operation capabilities. AIM focuses on autonomy, robotics, hardware, and advanced machine learning at scale.

Diffblue Cover is an autonomous AI-powered unit test writing tool for Java development teams. It uses next-generation autonomous AI to automate unit testing, freeing up developers to focus on more creative work. Diffblue Cover can write a complete and correct Java unit test every 2 seconds, and it is directly integrated into CI pipelines, unlike AI-powered code suggestions that require developers to check the code for bugs. Diffblue Cover is trusted by the world's leading organizations, including Goldman Sachs, and has been proven to improve quality, lower developer effort, help with code understanding, reduce risk, and increase deployment frequency.

The Agent OS is an experimental framework and runtime to build sophisticated, long running, and self-coding AI agents. We believe that the most important super-power of AI agents is to write and execute their own code to interact with the world. But for that to work, they need to run in a suitable environment—a place designed to be inhabited by agents. The Agent OS is designed from the ground up to function as a long-term computing substrate for these kinds of self-evolving agents.

Awesome-AI-Agents is a curated list of projects, frameworks, benchmarks, platforms, and related resources focused on autonomous AI agents powered by Large Language Models (LLMs). The repository showcases a wide range of applications, multi-agent task solver projects, agent society simulations, and advanced components for building and customizing AI agents. It also includes frameworks for orchestrating role-playing, evaluating LLM-as-Agent performance, and connecting LLMs with real-world applications through platforms and APIs. Additionally, the repository features surveys, paper lists, and blogs related to LLM-based autonomous agents, making it a valuable resource for researchers, developers, and enthusiasts in the field of AI.

SuperAGI is an open-source framework designed to build, manage, and run autonomous AI agents. It enables developers to create production-ready and scalable agents, extend agent capabilities with toolkits, and interact with agents through a graphical user interface. The framework allows users to connect to multiple Vector DBs, optimize token usage, store agent memory, utilize custom fine-tuned models, and automate tasks with predefined steps. SuperAGI also provides a marketplace for toolkits that enable agents to interact with external systems and third-party plugins.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

Awesome Agents is a curated list of open source AI agents designed for various tasks such as private interactions with documents, chat implementations, autonomous research, human-behavior simulation, code generation, HR queries, domain-specific research, and more. The agents leverage Large Language Models (LLMs) and other generative AI technologies to provide solutions for complex tasks and projects. The repository includes a diverse range of agents for different use cases, from conversational chatbots to AI coding engines, and from autonomous HR assistants to vision task solvers.

AdalFlow is a library designed to help developers build and optimize Large Language Model (LLM) task pipelines. It follows a design pattern similar to PyTorch, offering a light, modular, and robust codebase. Named in honor of Ada Lovelace, AdalFlow aims to inspire more women to enter the AI field. The library is tailored for various GenAI applications like chatbots, translation, summarization, code generation, and autonomous agents, as well as classical NLP tasks such as text classification and named entity recognition. AdalFlow emphasizes modularity, robustness, and readability to support users in customizing and iterating code for their specific use cases.

AgentForge is a low-code framework tailored for the rapid development, testing, and iteration of AI-powered autonomous agents and Cognitive Architectures. It is compatible with a range of LLM models and offers flexibility to run different models for different agents based on specific needs. The framework is designed for seamless extensibility and database-flexibility, making it an ideal playground for various AI projects. AgentForge is a beta-testing ground and future-proof hub for crafting intelligent, model-agnostic autonomous agents.

Nous is an open-source TypeScript platform for autonomous AI agents and LLM based workflows. It aims to automate processes, support requests, review code, assist with refactorings, and more. The platform supports various integrations, multiple LLMs/services, CLI and web interface, human-in-the-loop interactions, flexible deployment options, observability with OpenTelemetry tracing, and specific agents for code editing, software engineering, and code review. It offers advanced features like reasoning/planning, memory and function call history, hierarchical task decomposition, and control-loop function calling options. Nous is designed to be a flexible platform for the TypeScript community to expand and support different use cases and integrations.

Sophia is an open-source TypeScript platform designed for autonomous AI agents and LLM based workflows. It aims to automate processes, review code, assist with refactorings, and support various integrations. The platform offers features like advanced autonomous agents, reasoning/planning inspired by Google's Self-Discover paper, memory and function call history, adaptive iterative planning, and more. Sophia supports multiple LLMs/services, CLI and web interface, human-in-the-loop interactions, flexible deployment options, observability with OpenTelemetry tracing, and specific agents for code editing, software engineering, and code review. It provides a flexible platform for the TypeScript community to expand and support various use cases and integrations.

CrewAI is a cutting-edge framework designed to orchestrate role-playing autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It enables AI agents to assume roles, share goals, and operate in a cohesive unit, much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions. With features like role-based agent design, autonomous inter-agent delegation, flexible task management, and support for various LLMs, CrewAI offers a dynamic and adaptable solution for both development and production workflows.

LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.

AgentBench is a benchmark designed to evaluate Large Language Models (LLMs) as autonomous agents in various environments. It includes 8 distinct environments such as Operating System, Database, Knowledge Graph, Digital Card Game, and Lateral Thinking Puzzles. The tool provides a comprehensive evaluation of LLMs' ability to operate as agents by offering Dev and Test sets for each environment. Users can quickly start using the tool by following the provided steps, configuring the agent, starting task servers, and assigning tasks. AgentBench aims to bridge the gap between LLMs' proficiency as agents and their practical usability.

GPT-All-Star is an AI-powered code generation tool designed for scratch development of web applications with team collaboration of autonomous AI agents. The primary focus of this research project is to explore the potential of autonomous AI agents in software development. Users can organize their team, choose leaders for each step, create action plans, and work together to complete tasks. The tool supports various endpoints like OpenAI, Azure, and Anthropic, and provides functionalities for project management, code generation, and team collaboration.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

hackingBuddyGPT is a framework for testing LLM-based agents for security testing. It aims to create common ground truth by creating common security testbeds and benchmarks, evaluating multiple LLMs and techniques against those, and publishing prototypes and findings as open-source/open-access reports. The initial focus is on evaluating the efficiency of LLMs for Linux privilege escalation attacks, but the framework is being expanded to evaluate the use of LLMs for web penetration-testing and web API testing. hackingBuddyGPT is released as open-source to level the playing field for blue teams against APTs that have access to more sophisticated resources.

ScreenAgent is a project focused on creating an environment for Visual Language Model agents (VLM Agent) to interact with real computer screens. The project includes designing an automatic control process for agents to interact with the environment and complete multi-step tasks. It also involves building the ScreenAgent dataset, which collects screenshots and action sequences for various daily computer tasks. The project provides a controller client code, configuration files, and model training code to enable users to control a desktop with a large model.

This repository, named Awesome-Embodied-Agent-with-LLMs, is a curated list of research related to Embodied AI or agents with Large Language Models. It includes various papers, surveys, and projects focusing on topics such as self-evolving agents, advanced agent applications, LLMs with RL or world models, planning and manipulation, multi-agent learning and coordination, vision and language navigation, detection, 3D grounding, interactive embodied learning, rearrangement, benchmarks, simulators, and more. The repository provides a comprehensive collection of resources for individuals interested in exploring the intersection of embodied agents and large language models.

Build Autonomous AI Agents

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