AI tools for agents
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Pipeless Agents
Pipeless Agents is a platform that allows users to convert any video feed into an actionable data stream, enabling automation of tasks based on visual inputs. It serves as a serverless platform for Vision AI, offering the ability to create projects, connect video sources, and customize agents for specific needs. With a focus on simplicity and efficiency, Pipeless Agents empowers users to extract structured data from various video sources and automate processes with minimal coding requirements.
ResolveAI
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.
AgentGPT
AgentGPT is an AI tool designed to help users scale their web scraping activities by creating agents that can scrape web data efficiently. Users can easily create agents by adding a name and goal, and then deploy them to perform specific tasks. The tool offers various examples such as ResearchGPT for creating comprehensive reports, TravelGPT for planning trips, and StudyGPT for creating study plans. AgentGPT leverages AI technology to streamline the web scraping process and enhance productivity.
LLMStack
LLMStack is an open-source platform that allows users to build AI Agents, workflows, and applications using their own data. It is a no-code AI app builder that supports model chaining from major providers like OpenAI, Cohere, Stability AI, and Hugging Face. Users can import various data sources such as Web URLs, PDFs, audio files, and more to enhance generative AI applications and chatbots. With a focus on collaboration, LLMStack enables users to share apps publicly or restrict access, with viewer and collaborator roles for multiple users to work together. Powered by React, LLMStack provides an easy-to-use interface for building AI applications.
B2B Rocket
B2B Rocket offers AI Agents, including an SDR AI Agent, to automate B2B cold email marketing. The platform provides tools for lead search, data enrichment, email validation, data cleanup, intent data analysis, unified inbox management, email warm-up, email sending, AI auto-reply, spam detection, meeting scheduling, and unified calendar. B2B Rocket aims to supercharge sales processes by converting leads to clients using AI technology and a suite of sales tools. The platform emphasizes reaching ideal customers on autopilot, smart personalization, and increasing revenue. Users can customize their AI agents, launch them into action to identify and engage prospects, and conduct chat sessions and set up meetings autonomously.
Airkit.ai eCommerce
Airkit.ai eCommerce is a code-free AI agent designed for e-commerce businesses. It uses GPT-4 technology to power AI agents that can resolve over 90% of customer questions instantly, 24/7. Airkit.ai integrates with popular e-commerce tools and systems, and can be used to provide proactive customer service, personalized experiences, and support for customer service teams.
Meltface Typeface
Meltface Typeface is a book about the future of design in the age of AI agents, spatial computing, and ambient UX. It is written by Casey Fictum, a designer and philosopher who has been thinking about the future of technology for over 20 years. The book is divided into nine chapters, each of which explores a different aspect of the future of design. Chapter 1, "The Dawn of Ambient Intelligence," discusses the rise of AI agents and their potential to change the way we live and work. Chapter 2, "Artificial - This Thing Isn't Human," explores the challenges of designing AI agents that are both useful and ethical. Chapter 3, "Spatial - Around My Reality," discusses the potential of spatial computing to create new and immersive experiences. Chapter 4, "Ambient - There, But Not," explores the concept of ambient UX and how it can be used to create more seamless and intuitive experiences. Chapter 5, "Actioned - Do Things on Our Behalf," discusses the potential of AI agents to automate tasks and help us get things done. Chapter 6, "Philosophy for AI Agent Design," provides a philosophical framework for designing AI agents that are both ethical and effective. Chapter 7, "Frameworks for the Future of Design," provides a set of frameworks for thinking about the future of design. Chapter 8, "Guessing the Future of UX Design," speculates on what the future of UX design might look like. Chapter 9, "Finding Meaning & Purpose in the Future of Design," discusses the challenges and opportunities of designing for a future that is increasingly shaped by AI.
Beam AI
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.
ALIAgents.ai
ALIAgents.ai is a platform that enables users to create and monetize AI agents on the blockchain. Users can design and deploy their own AI agents for various tasks such as customer service, data analysis, and more. The platform provides tools and resources to facilitate the development and deployment of AI agents, allowing users to tap into the potential of AI technology in a decentralized and secure manner.
unSurvey
unSurvey is an AI tool that allows users to create personalized conversational agents for gathering and analyzing information at scale. It helps in saving time by converting conversations into deep insights and structured data within minutes. The tool is designed to assist in creating Privacy Policy and conducting surveys efficiently.
Pvalyou
Pvalyou is an AI application designed to enhance productivity by providing AI agents that offer unparalleled research capabilities, reliability, personalization, and cross-interface functionality. The platform features Val, a sophisticated AI analyst, and a coordinated system of multiple sub-agents to distribute complexity and computation efficiently. Pvalyou aims to revolutionize organizational AI analysts by offering a deeply personalized and intuitive experience for users.
Sema4.ai
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.
AskJimmy
AskJimmy is a platform for AI agents focused on finance and trading. It offers exposure to a diverse range of strategies managed by top-notch AI Agents. The platform allows users to compose autonomous agents and trading strategies with extreme customization. It aims to create a decentralized multi-strategy collaborative hedge-fund powered by AI agents. AskJimmy is designed to aggregate non-correlated autonomous agent strategies into a diversified subnet, shaping the future of multi-strategies decentralized hedge-fund.
Balto
Balto is a real-time guidance platform designed for contact centers, powered by AI technology. It offers features such as real-time coaching, QA copilot, notetaking automation, and integrations with various CCaaS systems. Balto aims to improve agent performance, enhance customer experience, ensure compliance, and drive sales growth through behavior change and perfect conversations on every call.
Composio
Composio is an integration platform for AI Agents and LLMs that allows users to access over 150 tools with just one line of code. It offers seamless integrations, managed authentication, a repository of tools, and powerful RPA tools to streamline and optimize the connection and interaction between AI Agents/LLMs and various APIs/services. Composio simplifies JSON structures, improves variable names, and enhances error handling to increase reliability by 30%. The platform is SOC Type II compliant, ensuring maximum security of user data.
TestArmy
TestArmy is an AI-driven software testing platform that offers an army of testing agents to help users achieve software quality by balancing cost, speed, and quality. The platform leverages AI agents to generate Gherkin tests based on user specifications, automate test execution, and provide detailed logs and suggestions for test maintenance. TestArmy is designed for rapid scaling and adaptability to changes in the codebase, making it a valuable tool for both technical and non-technical users.
Nunu.ai
Nunu.ai is a cutting-edge platform focused on advancing Artificial General Intelligence (AGI) for games. The platform specializes in developing multimodal gameplay agents that can test and play any game. These agents are vision-based, enabling them to interact with games like a human would. Nunu.ai introduces major breakthroughs in capabilities such as interactivity, reporting, and interpretability. The platform's core focus is on Quality Assurance for gaming, particularly in open-world scenarios, providing advanced tools for dynamic interaction and observation to enhance the gaming experience.
CircleChat
CircleChat is an AI tool that enables users to chat with multiple AI agents to collaboratively solve goals. It is a free platform where users can engage in conversations with AI agents to gain different perspectives and support. By signing in, users can access the chat feature and interact with AI agents to achieve their objectives. CircleChat is designed to assist users in generating ideas, discussing strategies, and receiving support from AI agents.
Agent Onboard
Agent that helps you discover other Agents as per your requirements : ) Over 2000+ Agents onboard 🤍
Agent Prompt Generator for LLM's
This GPT generates the best possible LLM-agents for your system prompts. You can also specify the model size, like 3B, 33B, 70B, etc.
MultiAgent Wizard
Automatically creates new agents for specific tasks, and allows them to collaborate to complete tasks.
Gptconsole
Lightweight autonomous ai agents that build production ready applications from prompts
The Ultimate Project Management Entity (UPME)
Want more powerful agents? PMOracle predicts problems & offers real-time solutions. PMSherpa coaches & personalizes project journeys. PMNexus integrates tools for a unified view. PMA uses simulations to craft success. PMC catalyst automates & optimizes, becoming your proactive teammate.
Ullyotts Estate and Letting Agents
Guides on home preparation for sales and lettings with Ullyotts Estate Agents.
Life Insurance Leads Bot
Badass Insurance Leads helps insurance agents from across the United States find the best aged life insurance leads to sell policies to.
INSIGHT Business SIM
The future of business education: Generate and test ideas in a complex global market simulation, populated by autonomous agents. Powered by the MANNS engine for unparalleled entity autonomy and simulated market forces
Brainstormer
Brainstormer takes in a notion, applies a bunch of perspective agents set to improve it by seeking novelty, and spits out a bunch of improved creative ideas.
CDR Guru
To master Unified Communications Data across platforms like Cisco, Avaya, Mitel, and Microsoft Teams, by orchestrating a team of expert agents and providing actionable solutions.
AutoChatGPT
Have a large task to accomplish? AutoChatGPT will continually review and give itself new instructions to complete a task using expert agents.
Power Platform Helper
Trained on learn.microsoft.com content including Azure Functions, Logic Apps, DAX, Dynamics365, Microsoft 365, Compliance, ODATA, Power Agents, Apps, Automate, BI, Pages, Query, Power Platform Administration, Developer, Guidance
agents
The LiveKit Agent Framework is designed for building real-time, programmable participants that run on servers. Easily tap into LiveKit WebRTC sessions and process or generate audio, video, and data streams. The framework includes plugins for common workflows, such as voice activity detection and speech-to-text. Agents integrates seamlessly with LiveKit server, offloading job queuing and scheduling responsibilities to it. This eliminates the need for additional queuing infrastructure. Agent code developed on your local machine can scale to support thousands of concurrent sessions when deployed to a server in production.
agents
Agents 2.0 is a framework for training language agents using symbolic learning, inspired by connectionist learning for neural nets. It implements main components of connectionist learning like back-propagation and gradient-based weight update in the context of agent training using language-based loss, gradients, and weights. The framework supports optimizing multi-agent systems and allows multiple agents to take actions in one node.
LLM-Agents-Papers
A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.
embodied-agents
Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.
surfkit
Surfkit is a versatile toolkit designed for building and sharing AI agents that can operate on various devices. Users can create multimodal agents, share them with the community, run them locally or in the cloud, manage agent tasks at scale, and track and observe agent actions. The toolkit provides functionalities for creating agents, devices, solving tasks, managing devices, tracking tasks, and publishing agents. It also offers integrations with libraries like MLLM, Taskara, Skillpacks, and Threadmem. Surfkit aims to simplify the development and deployment of AI agents across different environments.
agentscope
AgentScope is a multi-agent platform designed to empower developers to build multi-agent applications with large-scale models. It features three high-level capabilities: Easy-to-Use, High Robustness, and Actor-Based Distribution. AgentScope provides a list of `ModelWrapper` to support both local model services and third-party model APIs, including OpenAI API, DashScope API, Gemini API, and ollama. It also enables developers to rapidly deploy local model services using libraries such as ollama (CPU inference), Flask + Transformers, Flask + ModelScope, FastChat, and vllm. AgentScope supports various services, including Web Search, Data Query, Retrieval, Code Execution, File Operation, and Text Processing. Example applications include Conversation, Game, and Distribution. AgentScope is released under Apache License 2.0 and welcomes contributions.
Co-LLM-Agents
This repository contains code for building cooperative embodied agents modularly with large language models. The agents are trained to perform tasks in two different environments: ThreeDWorld Multi-Agent Transport (TDW-MAT) and Communicative Watch-And-Help (C-WAH). TDW-MAT is a multi-agent environment where agents must transport objects to a goal position using containers. C-WAH is an extension of the Watch-And-Help challenge, which enables agents to send messages to each other. The code in this repository can be used to train agents to perform tasks in both of these environments.
godot_rl_agents
Godot RL Agents is an open-source package that facilitates the integration of Machine Learning algorithms with games created in the Godot Engine. It provides interfaces for popular RL frameworks, support for memory-based agents, 2D and 3D games, AI sensors, and is licensed under MIT. Users can train agents in the Godot editor, create custom environments, export trained agents in ONNX format, and utilize advanced features like different RL training frameworks.
atomic_agents
Atomic Agents is a modular and extensible framework designed for creating powerful applications. It follows the principles of Atomic Design, emphasizing small and single-purpose components. Leveraging Pydantic for data validation and serialization, the framework offers a set of tools and agents that can be combined to build AI applications. It depends on the Instructor package and supports various APIs like OpenAI, Cohere, Anthropic, and Gemini. Atomic Agents is suitable for developers looking to create AI agents with a focus on modularity and flexibility.
ai-agents
The 'ai-agents' repository is a collection of books and resources focused on developing AI agents, including topics such as GPT models, building AI agents from scratch, machine learning theory and practice, and basic methods and tools for data analysis. The repository provides detailed explanations and guidance for individuals interested in learning about and working with AI agents.
Cradle
The Cradle project is a framework designed for General Computer Control (GCC), empowering foundation agents to excel in various computer tasks through strong reasoning abilities, self-improvement, and skill curation. It provides a standardized environment with minimal requirements, constantly evolving to support more games and software. The repository includes released versions, publications, and relevant assets.
awesome-agents
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.
Awesome-AI-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.
atomic-agents
The Atomic Agents framework is a modular and extensible tool designed for creating powerful applications. It leverages Pydantic for data validation and serialization. The framework follows the principles of Atomic Design, providing small and single-purpose components that can be combined. It integrates with Instructor for AI agent architecture and supports various APIs like Cohere, Anthropic, and Gemini. The tool includes documentation, examples, and testing features to ensure smooth development and usage.
ai_agents_cookbooks
The 'ai_agents_cookbooks' repository contains cookbooks for AI agents, which are AI systems capable of using other software as tools. It provides resources for learning more about AI through events and requires Python 3.10 or higher as a prerequisite.
ai-agents-masterclass
AI Agents Masterclass is a repository dedicated to teaching developers how to use AI agents to transform businesses and create powerful software. It provides weekly videos with accompanying code folders, guiding users on setting up Python environments, using environment variables, and installing necessary packages to run the code. The focus is on Large Language Models that can interact with the outside world to perform tasks like drafting emails, booking appointments, and managing tasks, enabling users to create innovative applications with minimal coding effort.