Ai-agent Framework apps 2025

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GenSphere

Declarative framework to build, share and combine LLM application components Show more

GenSphere is a versatile platform designed to facilitate the exchange and integration of reusable components for applications built on large language models (LLMs). With an open structure similar to that of Hugging Face and the containerization convenience of Docker, GenSphere provides both a collaborative space and a powerful SDK. Users can effortlessly share and incorporate functions, workflows, and schemas, enhancing the development process for LLM-based applications. This platform not only fosters a vibrant community of developers but also accelerates the creation and deployment of sophisticated AI solutions. GenSphere's user-friendly interface and comprehensive tools make it a preferred choice for developers aiming to maximize efficiency and innovation in the realm of language model applications.

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Reusable components

Combines llm components

Declarative framework

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Bee Agent Framework

Open-source framework for building, deploying, and serving powerful agentic workflows at scale Show more

Bee Agent Framework is an advanced open-source toolkit tailored for developing scalable agent-based workflows leveraging diverse AI models. Equipped with robust support for IBM Granite and Llama 3.x models, the framework empowers developers to construct intricate agentic structures that adeptly handle workflow states. It offers a comprehensive suite of production-ready features, ensuring seamless real-world deployment. The framework's versatile architecture facilitates the integration of various AI components, promoting efficiency and scalability. Ideal for developers aiming to innovate and enhance workflow management, Bee Agent Framework stands out as a reliable resource for cutting-edge AI solutions.

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Workflow management

Ai model integration

Agentic workflows

Scalable architecture

Production-ready deployment

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AgentKit

A TypeScript library to create and orchestrate AI Agents. Show more

AgentKit is an innovative framework designed to simplify the creation and management of AI Agents. Whether you're deploying a single model inference call or orchestrating complex multi-agent systems with tool integrations, AgentKit provides a seamless experience. It empowers developers and researchers to easily prototype, experiment, and deploy AI solutions tailored to their specific needs. With its flexible and modular architecture, users can efficiently build and manage dynamic agent ecosystems that adapt to various tasks and domains. AgentKit is ideal for both beginners and seasoned AI professionals, offering a user-friendly interface and robust functionalities. By integrating cutting-edge technologies and streamlining workflow processes, AgentKit enhances AI development productivity and innovation.

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Ai agents creation

Orchestrate multi-agents

Single model inference

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Fabrice AI

A lightweight, functional, and composable framework for building AI agents. No PhD required. Show more

Fabrice AI is a groundbreaking framework that redefines the landscape of AI agent development by prioritizing simplicity and flexibility. Designed to address the limitations of existing frameworks, Fabrice AI embraces functional programming principles, ensuring a stateless architecture that highlights composability above all else. By choosing to move away from overly complex and object-oriented designs, it provides developers with a streamlined and efficient approach to building AI agents. Leveraging the power of English and Typescript, Fabrice AI empowers both seasoned developers and newcomers to dive into AI development without being bogged down by specific infrastructure constraints. Its innovative approach bridges the gap between functional programming and AI development, allowing for seamless integration and scalability. Embrace Fabrice AI to enhance your projects with a focus on clarity, adaptability, and cutting-edge technology.

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Functional programming

Stateless design

Composable framework

Ai agent construction

Typescript integration

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LangGraph

A framework for building conversational AI agents. Show more

LangGraph is a cutting-edge framework tailored to streamline the creation of conversational AI agents. Offering a user-friendly interface, it equips developers with comprehensive tools to build, train, and deploy chatbots and virtual assistants efficiently. By harnessing sophisticated natural language processing and machine learning methodologies, LangGraph facilitates the development of highly interactive and contextually aware AI agents. Its versatility is further enhanced through support for various integration options, ensuring compatibility with a wide array of platforms and applications. Ideal for developers aiming to construct intelligent conversational solutions, LangGraph stands out as a reliable ally in the evolving sphere of AI technology.

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Multiple platform support

Intuitive interface

Integration options

Natural language processing

Chatbot training

Conversational ai development

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Smolagents AI Agent

Create AI agents with minimal code using Hugging Face's lightweight framework Show more

Smolagents AI Agent is a cutting-edge open-source framework designed to empower developers to create and deploy advanced AI agents effortlessly. Developed by the esteemed Hugging Face team, Smolagents stands out for its emphasis on simplicity, allowing users to build sophisticated agents with minimal coding. This framework enhances the capabilities of Large Language Models (LLMs), enabling them to engage in seamless interactions with the real world. By prioritizing efficiency, Smolagents offers a streamlined process for integrating AI into various applications. Its open-source nature encourages collaboration and innovation, making it a valuable tool for developers looking to harness AI's potential in a straightforward manner. With Smolagents, developers can focus on creativity and functionality, knowing they have a reliable framework underpinning their AI endeavors.

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Deploy ai agents

Ai agent creation

Minimal coding

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Project Alice

Open-source agentic workflow framework with its own web UI, persistent DB and access to 20+ APIs Show more

Project Alice is an innovative app designed to offer users access to a comprehensive framework for project management and collaboration. It integrates a suite of intuitive tools that streamline task organization, team communication, and workflow optimization, making it ideal for both individual users and large teams. With its user-friendly interface and customizable features, Project Alice can be tailored to meet the specific needs of diverse projects across various industries. The app facilitates seamless data sharing and real-time updates to ensure that all team members are aligned and informed. Enhanced with robust security protocols, it ensures that project data remains confidential and protected. Whether you're managing a small project or overseeing a complex operation, Project Alice is your go-to solution for efficient and effective project management.

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Api integrations

Agentic workflow framework

Custom web ui

Persistent database

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Griptape

Framework for creating AI agents with minimal coding. Show more

Griptape is an innovative framework crafted to streamline the development and deployment of AI agents. Targeted at developers looking to construct AI solutions efficiently, Griptape minimizes the need for extensive coding by offering pre-built templates and a user-friendly interface. This powerful tool is designed to seamlessly integrate a variety of AI models, making it versatile for diverse applications. It emphasizes automation of workflows, thereby significantly boosting productivity and reducing manual intervention. With Griptape, developers can focus more on creativity and strategy as the framework handles the complex backend operations. Whether you're developing simple AI tools or sophisticated AI-driven systems, Griptape provides the infrastructure to expedite and enhance your AI projects.

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Workflow automation

Pre-built templates

Intuitive interface

Ai agent creation

Minimal coding

Model integration

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Burr Framework

Build applications that make decisions (chatbots, agents, simulations, etc...). Show more

Burr Framework is a versatile development tool designed to streamline the creation of decision-making applications such as chatbots, agents, and simulations. This platform simplifies the development process by utilizing straightforward Python building blocks, allowing developers to focus on crafting intelligent systems that can effectively interact with users. Burr is specifically optimized for applications leveraging large language models (LLMs) and seamlessly integrates with a wide range of popular frameworks. It comes equipped with a user-friendly interface that enables real-time tracking, monitoring, and tracing of application performance, ensuring efficient system management. Additionally, Burr offers pluggable persisters, providing robust solutions for memory management and the ability to save and load application states effortlessly. Whether you're developing a new AI solution or enhancing an existing project, Burr Framework offers the tools needed to build responsive and dynamic decision-making applications.

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Real-time monitoring

Llm integration

Decision-making applications

Python building blocks

Pluggable persisters

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LaVague

Large Action Models framework to build AI Web Agents Show more

LaVague is an innovative open-source framework crafted for the creation of AI Web Agents utilizing Large Action Models. These advanced agents are capable of automating intricate web interactions through the understanding and execution of natural language commands. With its robust capabilities, LaVague enables efficient web navigation, data extraction, and form filling, streamlining these processes for users. Key components, such as the World Model and Action Engine, play a pivotal role in simplifying the development and deployment of these intelligent agents. Ideal for developers seeking to enhance web-based automation, LaVague offers a versatile platform that supports a broad spectrum of online tasks. Whether you're looking to build an agent for personal use or for broader applications, LaVague provides the tools necessary for effective and efficient automation solutions.

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Data extraction

Natural language commands

Form filling

Ai web agents

Web navigation automation

World model components

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Agno

Build AI agents with Python using a powerful and flexible framework. Show more

Agno is a versatile open-source framework tailored for creating AI agents with ease and efficiency using Python. Designed to cater to developers from beginners to experts, Agno provides a robust set of tools and features that streamline the development process. It empowers users to build sophisticated agents capable of accessing an extensive range of knowledge, retaining memory, and accomplishing various tasks through diverse tool integrations. By simplifying the complex aspects of AI development, Agno opens up opportunities for innovation in the realm of artificial intelligence. Whether you're enhancing existing software or crafting new AI solutions from scratch, Agno delivers the necessary infrastructure to bring your projects to life. With its focus on accessibility and power, Agno is set to become an indispensable tool for AI developers across the spectrum.

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Memory management

Ai agent creation

Python framework

Task automation tools

Knowledge access

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Agent Genesis

Build custom RAG flows and AI agents using open-source, copy-paste components. Show more

Agent Genesis is an innovative platform that democratizes the development and deployment of AI agents by eliminating the need for coding expertise. With its user-friendly interface, the app empowers users to effortlessly design, train, and manage AI agents, making it ideal for individuals with limited technical backgrounds. The application boasts seamless integration capabilities with various data sources and tools, facilitating the rapid creation of advanced AI solutions. Whether you're a business professional looking to automate tasks or a creative seeking to explore AI's potential, Agent Genesis offers the flexibility and power needed to bring your AI projects to life. This platform simplifies complex AI processes, ensuring that users can focus on ideation and execution rather than technical hurdles. Experience the future of AI development with Agent Genesis, where innovation meets accessibility.

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Intuitive interface

Data source integration

Custom rag flows

Ai agent creation

Open-source components

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LangChain

A framework for building and deploying applications powered by large language models (LLMs). Show more

LangChain is an innovative open-source framework tailored to streamline the development of applications leveraging large language models (LLMs). It equips developers with essential tools and abstractions to seamlessly integrate LLMs with external data sources, fostering the creation of context-aware, reasoning-driven applications. By supporting the entire application lifecycle—from development and debugging to deployment and monitoring—LangChain simplifies the process of building robust and scalable AI-powered solutions. The framework's design prioritizes ease-of-use, making it accessible for developers aiming to harness the power of LLMs without extensive expertise. With LangChain, developers can focus on crafting intelligent applications that are both responsive and capable of complex reasoning, ultimately enhancing user experience and application performance.

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Context-aware integration

Lifecycle support tools

Robust ai solutions

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LiveKit Agents

Framework for building real-time, multimodal AI agents Show more

LiveKit Agents is an innovative framework tailored for building sophisticated, real-time AI agents that engage users through multiple channels including voice, video, and data. It offers an extensive range of tools designed to streamline the integration of advanced functionalities like speech-to-text and text-to-speech conversion, as well as large language model (LLM) support. By providing these robust abstractions, LiveKit Agents empowers developers to concentrate on crafting the essential logic of their applications without getting bogged down by complex technical details. This framework is ideal for creating interactive experiences that require seamless, multimodal interactions, making it a perfect solution for developers aiming to enhance user engagement. With LiveKit Agents, bringing AI-driven, dynamic communication capabilities to your applications has never been more straightforward.

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Real-time interaction

Data integration

Text-to-speech

Llm integration

Voice integration

Multimodal support

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SmolAgents

Lightweight AI agent development framework for rapid creation of powerful agents Show more

SmolAgents is a compact and efficient intelligent agent library crafted by Hugging Face to streamline the development of AI agent systems. Despite its lightweight core of around 1,000 lines of code, the app offers robust feature integration, making it ideal for developers seeking simplicity and power. It supports code execution agents, enabling diverse applications and enhancing flexibility in AI solutions. SmolAgents is compatible with a wide range of mainstream large language models, broadening its usability across different AI projects. A standout feature is its secure Python interpreter and sandboxed environment, ensuring safe code execution without compromising security. This makes SmolAgents a reliable tool for developers who prioritize both functionality and safety in AI development. Whether for experimentation or production, SmolAgents provides a streamlined approach to building intelligent agents.

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Llm integration

Ai agent library

Code execution support

Simplified development

Sandboxed environment

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LAgent

Open-source framework for building and deploying AI agents. Show more

LAgent is an innovative open-source framework designed for the seamless development of AI agents, emphasizing user-friendliness and adaptability. With its comprehensive set of tools and libraries, LAgent simplifies the process of building, training, and deploying AI models, making it accessible for both beginners and seasoned developers. The framework facilitates the creation of intelligent systems capable of engaging with users and performing intricate tasks efficiently. LAgent is highly versatile, supporting a wide range of integrations, which ensures it can meet the demands of diverse applications and environments. Whether for academic research or real-world production scenarios, LAgent provides the necessary infrastructure to innovate and implement cutting-edge AI solutions with ease.

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Integration support

User interaction

Complex task handling

Ai model building

Agent deployment

Tool and library support

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Mini LLM Flow

Minimalist LLM Framework in 100 Lines. Enable LLMs to Program Themselves. Show more

Mini LLM Flow is a streamlined framework designed specifically for leveraging large language models (LLMs) in a more efficient and focused manner. By distilling the framework down to just 100 lines of code, it removes unnecessary complexities and highlights essential high-level programming paradigms. This minimalist approach centers around a nested directed graph, which facilitates task decomposition and LLM-driven processes such as branching and recursion for decision-making. The framework supports agent-based architectures, making it ideal for applications requiring dynamic task management and resource allocation. Additionally, it seamlessly incorporates Retrieval-Augmented Generation (RAG), enhancing the flexibility and functionality of LLM implementations. With Mini LLM Flow, users can easily add more complex features, providing a solid foundation for scalable and adaptable AI solutions.

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Minimalist framework

Task decomposition

Agent-like decision-making

Nested directed graph

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Bee Agent Framework

Open-source framework for building, deploying, and serving powerful agentic workflows at scale Show more

Bee Agent Framework is an advanced open-source toolkit tailored for developing scalable agent-based workflows leveraging diverse AI models. Equipped with robust support for IBM Granite and Llama 3.x models, the framework empowers developers to construct intricate agentic structures that adeptly handle workflow states. It offers a comprehensive suite of production-ready features, ensuring seamless real-world deployment. The framework's versatile architecture facilitates the integration of various AI components, promoting efficiency and scalability. Ideal for developers aiming to innovate and enhance workflow management, Bee Agent Framework stands out as a reliable resource for cutting-edge AI solutions.

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Workflow management

Ai model integration

Agentic workflows

Scalable architecture

Production-ready deployment

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ShortGPT

An AI-powered framework that automates video content creation from script to final render. Show more

ShortGPT is an innovative open-source Python framework that revolutionizes the video content creation process by automating key tasks with AI technology. Ideal for content creators, marketers, and businesses, ShortGPT simplifies script generation, footage sourcing, voiceover synthesis, caption generation, and video editing, allowing users to produce high-quality videos efficiently. Its multilingual support and seamless integration with various asset sources make it an incredibly versatile tool for crafting tailored video content for diverse audiences. By streamlining every step of video production, ShortGPT significantly reduces the time and effort typically required, empowering users to focus on creativity and strategy. As a result, it offers a scalable solution to meet the growing demand for engaging video content in today’s digital landscape.

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Caption generation

Script generation

Footage sourcing

Voiceover synthesis

Video editing

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GenSphere

Declarative framework to build, share and combine LLM application components Show more

GenSphere is a versatile platform designed to facilitate the exchange and integration of reusable components for applications built on large language models (LLMs). With an open structure similar to that of Hugging Face and the containerization convenience of Docker, GenSphere provides both a collaborative space and a powerful SDK. Users can effortlessly share and incorporate functions, workflows, and schemas, enhancing the development process for LLM-based applications. This platform not only fosters a vibrant community of developers but also accelerates the creation and deployment of sophisticated AI solutions. GenSphere's user-friendly interface and comprehensive tools make it a preferred choice for developers aiming to maximize efficiency and innovation in the realm of language model applications.

Show less

Reusable components

Combines llm components

Declarative framework

Try AI Agent

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