AI Agents ai agents frameworks apps 2026

Vectara-agentic

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Build AI assistants and Agents with Vectara

Ai assistant creation

Agentic rag framework

Custom tool integration

Enterprise use-case support

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LiveKit Agents

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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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AutoAgent

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Fully-Automated and Zero-Code LLM Agent Framework Show more

AutoAgent is an innovative open-source framework designed to simplify and accelerate the creation and deployment of customized AI intelligences using intuitive natural language descriptions. This powerful tool supports a broad range of large language models, enabling users to harness advanced AI capabilities effectively. Its high-performance multi-intelligence collaboration system allows various AI agents to work seamlessly together, enhancing overall functionality and efficiency. AutoAgent delivers impressive results in GAIA benchmarks, showcasing its robustness and reliability in diverse applications. Acting as an automated operating system for LLM agents and general AI assistants, it bridges the gap between complex AI technology and user-friendly accessibility. With its design tailored for both technical and non-technical users, AutoAgent empowers everyone to explore and implement AI solutions with ease.

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Ai customization

Performance benchmarks

Natural language interface

No-code framework

Multi-intelligence collaboration

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SuperAGI

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A dev-first, open-source framework for building and managing autonomous AI agents. Show more

SuperAGI is an innovative open-source framework tailored for developers who want to efficiently create, manage, and execute autonomous AI agents. It stands out by supporting concurrent agent operations, making it ideal for complex, multi-faceted AI tasks. The framework integrates seamlessly with a variety of tools, enhancing its versatility and applicability across different domains. Its user-friendly graphical interface enables smooth interaction and management of AI agents, ensuring an intuitive user experience. SuperAGI is built with scalability in mind, allowing it to handle intricate AI processes with ease. Key features such as performance telemetry, agent memory storage, and optimized token usage not only enhance functionality but also help manage costs effectively. This makes SuperAGI a comprehensive solution for developers looking to leverage autonomous agents in their applications.

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Tool integration

Concurrent operations

Graphical interface

Performance telemetry

Agent memory storage

Optimized token usage

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LangChain

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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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Ax

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Build LLM powered Agents and "Agentic workflows" Show more

Ax is an innovative app designed to transform the way developers create and manage LLM-powered agents using the principles introduced in the Stanford DSP paper. As an unofficial DSPy framework, Ax empowers developers to build sophisticated "Agentic workflows" that enhance the capabilities of language models. The app provides a user-friendly interface to streamline complex processes, allowing users to efficiently design, implement, and iterate on intelligent agent-driven solutions. With Ax, developers can harness the full potential of large language models, enabling more responsive and context-aware applications. By leveraging the advanced features of Ax, users can bridge the gap between theoretical frameworks and practical application, fostering the development of cutting-edge AI technologies.

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Agentic workflows

Llm powered agents

Dspy framework

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BaseAI.dev

8.2

1 Reviews

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The easiest open-source way to build Serverless autonomous AI agents with memory and tools. Show more

BaseAI.dev is an innovative Web AI Framework designed to democratize the creation of autonomous AI agents. It offers developers, regardless of their AI/ML expertise, a seamless way to build serverless AI solutions. With Base AI, users can effortlessly create agentic pipes, self-healing tools, and deep reasoning memory capabilities all in a local-first, offline development environment. Once development is complete, deployment is simplified with a single command, `npx baseai deploy`, to the ⌘ Langbase platform. This provides a serverless and scalable solution for hosting AI applications. By focusing on accessibility, BaseAI.dev aims to empower every developer to harness the potential of AI, making it an invaluable tool for both novices and seasoned experts in the field.

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Autonomous ai agents

Serverless deployment

Agentic deep memory

Self-healing tools

Offline developer experience

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upsonicAI

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Task-oriented AI agent framework for digital workers and vertical AI agents Show more

upsonicAI is a robust platform designed to streamline and optimize the orchestration of Large Language Model (LLM) calls, agents, and computer operations for task completion in enterprise settings. It emphasizes cost-effective solutions, ensuring businesses can efficiently leverage AI technologies without overspending. With a focus on real-world applicability, upsonicAI provides a task-oriented framework that supports everything from simple LLM calls to advanced automation through its V2 agents integrated with MCP. This level of scalability and reliability makes it a versatile tool for a variety of industries looking to harness the power of AI for practical applications. By offering a user-friendly interface and flexible options, upsonicAI is ideal for businesses aiming to enhance productivity and drive innovation. Its enterprise-ready infrastructure ensures that operations are not only efficient but also scalable to meet growing demands.

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Llm integration

Task-oriented framework

Ai agent orchestration

Scalable task execution

Complex automation

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ChatDev

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Virtual software company that operates through various intelligent agents holding different roles Show more

ChatDev is a cutting-edge open-source framework designed to transform the software development landscape by utilizing large language models (LLMs) and multi-agent collaboration. This innovative platform mimics a virtual software company where AI agents, each assuming distinct roles such as CEO, CTO, and programmer, collaborate to design, code, test, and document software projects. By interpreting natural language descriptions, these agents work harmoniously to create software, opening new avenues for non-programmers to participate in software creation. ChatDev's approach not only makes software development more accessible to a broader audience but also boosts efficiency for experienced developers, streamlining the entire process. Ideal for fostering creativity and innovation, ChatDev democratizes software development and expands the potential landscape for digital solutions.

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Ai role collaboration

Natural language coding

Multi-agent design

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Multi-GPT

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An experimental multi-agent system enabling collaboration between specialized AI experts. Show more

Multi-GPT is an innovative open-source platform designed to facilitate collaboration among multiple AI agents with specialized skills, empowering them to tackle complex tasks collectively. By harnessing the advanced text generation capabilities of GPT-4, Multi-GPT fosters an environment where "expertGPTs" can communicate, share information, and enhance their problem-solving prowess. The app's features include internet access, memory management, and file storage, all of which contribute to seamless task completion and information management. This collaborative approach boosts efficiency, allowing each agent to contribute its expertise to achieve optimal results. With its focus on teamwork and specialized knowledge, Multi-GPT represents a significant step forward in AI-driven task management and solution generation.

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Text generation

Memory management

Complex task handling

Collaborative ai agents

Specialized expertise

Internet access

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GPTSwarm

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A scalable framework for building and optimizing AI agent swarms to tackle complex tasks. Show more

GPTSwarm is an innovative open-source platform that revolutionizes AI development by merging the principles of swarm intelligence with cutting-edge language models. This powerful framework allows users to create, integrate, and enhance a diverse range of LLM-based agents efficiently. By representing these agents as computational graphs, GPTSwarm facilitates seamless collaboration and continuous improvement. Its unique approach harnesses collective problem-solving and distributed decision-making, enabling it to tackle complex tasks more effectively than standalone models. With its scalable architecture, GPTSwarm is ideally suited for a wide array of applications across various industries, making it a valuable resource for developers and researchers pursuing advanced AI solutions.

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Swarm intelligence integration

Adaptive ai agents

Computational graph representation

Distributed decision-making

Collective problem-solving

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Restack

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The framework for autonomous intelligence Show more

Restack is an innovative framework tailored to streamline the creation of autonomous AI products, effectively tackling the complexities of developing robust and scalable intelligent systems. It provides engineers with a versatile toolkit that empowers them to build adaptive and self-improving AI solutions. Featuring support for polyglot development, Restack enables seamless integration of multiple programming languages, enhancing flexibility in AI system design. With capabilities for real-time event processing, it ensures that applications can efficiently handle dynamic data and respond swiftly to evolving scenarios. Additionally, Restack integrates advanced features such as reinforcement learning and long-term memory management, allowing AI systems to learn from experience and make informed decisions over time. This comprehensive approach facilitates the development of sophisticated AI-powered systems that are both reliable and future-proof.

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Real-time processing

Memory management

Reinforcement learning

Autonomous ai framework

Polyglot development

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AgentKit

8.2

1 Reviews

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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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Airtop API

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Intelligent browser automation API for AI agents Show more

Airtop API revolutionizes browser automation by offering an intelligent solution specifically designed for AI agents. This powerful tool enables seamless interaction with websites, including those with complex authentication processes, by automating tasks like login, navigation, and data extraction. With features such as natural-language instructions and human-in-the-loop integration, users can enjoy a more intuitive and collaborative experience. Airtop's high-performance scalability and robust AI framework support make it a reliable choice for large-scale projects. By simplifying the development and deployment of AI-powered agents, Airtop becomes an indispensable asset for AI-driven initiatives requiring dynamic web interaction. Whether for research, data analysis, or other AI applications, Airtop API streamlines processes and enhances productivity.

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Data extraction

Human-in-the-loop

Ai agent integration

Browser automation

Complex authentication

Natural-language instructions

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Fabrice AI

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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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Mission Squad

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Create your squad and give them a mission! Show more

Mission Squad is an innovative app and API designed to streamline task management by enabling the creation of collaborative AI agent groups. With compatibility across a variety of AI models, including OpenAI, Anthropic, Groq, Infermatic, and LM Studio, it provides users with unparalleled flexibility in AI utilization. Users can effortlessly form a squad by linking multiple agents, orchestrated by a dedicated agent manager, to work in concert towards task completion. This layered approach allows tasks to be broken down and managed efficiently, mirroring real-world team dynamics. Mission Squad not only expands the utility of individual AI models but also simplifies complex task execution, making AI integration more accessible and effective. Whether for small businesses or large enterprises, it provides a versatile toolkit for enhancing productivity and leveraging AI technology to its full potential.

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Task automation

Ai model integration

Group agent creation

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LlamaGym

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Tool for fine-tuning LLM agents using reinforcement learning Show more

LlamaGym is an advanced platform tailored to streamline the fine-tuning of large language model (LLM) agents using reinforcement learning techniques. Much like OpenAI's Gym, LlamaGym provides a unified and standardized environment, facilitating seamless experimentation and development for researchers and developers. Users can easily adjust agent prompts and tweak hyperparameters, allowing for rapid iteration and optimization of LLM agents. The intuitive interface and robust features make LlamaGym a go-to tool for those looking to enhance the performance and capabilities of their language models. By simplifying the traditionally complex process of fine-tuning, LlamaGym empowers users to unlock the full potential of their language models with efficiency and precision.

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Reinforcement learning

Fine-tune llms

Standardized environment

Experiment prompts

Iterate hyperparameters

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DSPy

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Automated prompt optimization framework for building AI Agents Show more

DSPy is a versatile open-source Python framework designed for developers aiming to build language model applications with ease and efficiency. By embracing modular and declarative programming, DSPy streamlines the development process, allowing developers to focus on high-level logic instead of the intricate details of prompt crafting. The framework automates both prompt engineering and model selection, reducing the manual workload and enhancing productivity. DSPy also optimizes prompts and models based on specified metrics, ensuring that AI systems are not only reliable but also scalable and efficient. This makes DSPy an ideal choice for developers seeking to create sophisticated language models with minimal hassle and maximum performance.

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Automated prompt optimization

Modular programming

Declarative programming

Model selection automation

High-level logic focus

Prompt and model optimization

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Modelscope-Agent

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ModelScope-Agent: An agent framework connecting models in ModelScope with the world Show more

Modelscope-Agent is an advanced framework designed for creating customizable and scalable agents with diverse functionalities. This application simplifies the implementation process by allowing users to define role instructions, select LLM names, and choose from a list of available tools to build an agent application. The framework automatically orchestrates workflows involving tool usage, planning, and memory management, making it user-friendly and efficient. Packed with a suite of rich LLM interfaces, including Dashscope, Modelscope, and OpenAI, the platform offers flexibility in model integration. Additionally, Modelscope-Agent provides a variety of built-in tools such as code interpreters, weather queries, and text-to-image conversion utilities, enabling users to craft specialized agents with ease. With its unified interface, the application ensures a seamless integration experience, catering to diverse use cases and enhancing productivity in agent-based tasks.

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Workflow automation

Tool integration

Customizable framework

Memory management

Role-playing ability

Rich model support

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Nano Banana 2 Flash

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Nano Banana 2 Flash - Pro-Level AI Image Generation

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Showing 80 to 100 of 113 Apps

Vectara-agentic

LiveKit Agents

AutoAgent

SuperAGI

LangChain

Ax

BaseAI.dev

upsonicAI

ChatDev

Multi-GPT

GPTSwarm

Restack

AgentKit

Airtop API

Fabrice AI

Mission Squad

LlamaGym

DSPy

Modelscope-Agent

Nano Banana 2 Flash