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.

Tiledesk is an AI tool that enables users to automate business workflows and operations with customizable AI Agents. It allows users to build autonomous AI Agents to automate customer support and internal processes, enhancing engagement, efficiency, and driving growth. Tiledesk offers features such as no-code implementation, scalability, and a visual AI builder. The application is recommended for various industries, including E-commerce, Healthcare, Financial Services, Telecom, Tourism, Manufacturing, Education, and Professional Services.

NexusGPT is an AI tool that allows users to build and deploy custom AI agents for various workflows without the need for coding. It offers enterprise-grade AI solutions that can be integrated into any app. With features like autonomous agent creation, complex task automation, and external plugin connectivity, NexusGPT provides a user-friendly platform for creating powerful AI agents. The application prioritizes security and flexibility, allowing users to deploy agents on various platforms and integrate with different models. NexusGPT simplifies the process of agent creation, knowledge linking, skill addition, testing, and deployment, making it accessible to a wide range of users.

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.

Ethena Agents is an AI application designed to provide a comprehensive AI Layer for the Ethena network, offering a robust framework for modular chain economics. The platform enables users to build and launch AI models, access autonomous staking agents, and participate in the AI Agents Marketplace. With a focus on DeFAI (Decentralized Finance AI), Ethena Agents offers institutional-grade access to trillion-dollar market pools, maximizing staking APY and providing chain-agnostic asset management. Users can leverage the $ETAI token for infrastructure payments, token utility, staking rewards, and participation in decentralized governance. Additionally, the platform facilitates data/API connectivity, data aggregation, and real-time signal detection & analysis through AI-powered agents.

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.

Agency is a Go library designed for developers to explore Large Language Models (LLMs) and generative AI in a clean, effective, and Go-idiomatic way. It allows users to easily create custom operations, compose operations into processes, and interact with OpenAI API bindings for various tasks such as text completion, image generation, and speech-to-text conversion. The ultimate goal of Agency is to empower users to build autonomous AI systems, from chat interfaces to complex data analysis, with a focus on simplicity, flexibility, and efficiency.

Cortex is a tool that simplifies and accelerates the process of creating applications utilizing modern AI models like chatGPT and GPT-4. It provides a structured interface (GraphQL or REST) to a prompt execution environment, enabling complex augmented prompting and abstracting away model connection complexities like input chunking, rate limiting, output formatting, caching, and error handling. Cortex offers a solution to challenges faced when using AI models, providing a simple package for interacting with NL AI models.

Txtai is an all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases to enable vector search with SQL, topic modeling, retrieval augmented generation, and more. Txtai can stand alone or serve as a knowledge source for large language models (LLMs). Key features include vector search with SQL, object storage, topic modeling, graph analysis, multimodal indexing, embedding creation for various data types, pipelines powered by language models, workflows to connect pipelines, and support for Python, JavaScript, Java, Rust, and Go. Txtai is open-source under the Apache 2.0 license.

A curated list of Machine Learning (ML) and Generative AI (GenAI) packages and resources for the Elixir programming language. It includes core tools for data exploration, traditional machine learning algorithms, deep learning models, computer vision libraries, generative AI tools, livebooks for interactive notebooks, and various resources such as books, videos, and articles. The repository aims to provide a comprehensive overview for experienced Elixir developers and ML/AI practitioners exploring different ecosystems.

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.

OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.

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.

PC Agent introduces a novel framework to empower autonomous digital agents through human cognition transfer. It consists of PC Tracker for data collection, Cognition Completion for transforming raw data, and a multi-agent system for decision-making and visual grounding. Users can set up the tool in Python environment, customize data collection with PC Tracker, process data into cognitive trajectories, and run the multi-agent system. The tool aims to enable AI to work autonomously while users sleep, providing a cognitive journey into the digital world.

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.

Build Autonomous AI Agents

Lightweight autonomous ai agents that build production ready applications from prompts

書籍「ROS2ではじめよう 次世代ロボットプログラミング」の内容を基にROS 2に関する質問に回答します。

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街を作ろう　街を作ろう　変わらぬ鼓動　弾ませろよ (作者: @_saip_)

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