Ai-agent Llm framework apps 2025

Rig

Build powerful, modular LLM applications in Rust with unified interfaces and high performance. Show more

Rig is a versatile and open-source Rust framework designed to streamline the development of applications powered by large language models (LLMs). With Rig, developers can enjoy a consistent API experience across a variety of LLM providers, simplifying integration and boosting productivity. It offers advanced AI workflow abstractions that facilitate the creation of sophisticated systems, ensuring that even complex AI applications are manageable. Rig emphasizes type-safe interactions, providing developers with the confidence to build robust and reliable applications. The framework empowers developers to create a wide range of projects, from basic chatbots to intricate Retrieval-Augmented Generation (RAG) systems and multi-agent setups. Rig's design prioritizes ease of use and efficiency, making it an ideal choice for developers aiming to leverage the full potential of AI in their software solutions.

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Modular llm applications

Consistent api interface

Type-safe interactions

Advanced ai workflows

Supports multiple llms

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MemGPT

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An LLM framework for building autonomous agents with long-term memory and customizable tools. Show more

MemGPT is a cutting-edge framework that empowers developers to create autonomous AI agents with enhanced capabilities for managing long-term memory and integrating custom tools. Drawing inspiration from operating system architectures, MemGPT extends the context windows of language models beyond their traditional limits, allowing for the development of agents that can adeptly handle lengthy conversations and complex document analysis. By supporting connections to external data sources and APIs, MemGPT offers a versatile platform for building sophisticated AI applications that not only remember past interactions but also evolve with new information. This framework is particularly valuable for applications requiring stateful interactions and dynamic responses, as it maintains an ongoing understanding of context over time. With MemGPT, developers can unlock the full potential of language models to create intelligent agents that mimic human-like memory and adaptability.

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Customizable tools

Autonomous agents

Long-term memory

Extended context windows

External api connections

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Mini LLM Flow

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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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GenSphere

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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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MemGPT

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An LLM framework for building autonomous agents with long-term memory and customizable tools. Show more

MemGPT is a cutting-edge framework that empowers developers to create autonomous AI agents with enhanced capabilities for managing long-term memory and integrating custom tools. Drawing inspiration from operating system architectures, MemGPT extends the context windows of language models beyond their traditional limits, allowing for the development of agents that can adeptly handle lengthy conversations and complex document analysis. By supporting connections to external data sources and APIs, MemGPT offers a versatile platform for building sophisticated AI applications that not only remember past interactions but also evolve with new information. This framework is particularly valuable for applications requiring stateful interactions and dynamic responses, as it maintains an ongoing understanding of context over time. With MemGPT, developers can unlock the full potential of language models to create intelligent agents that mimic human-like memory and adaptability.

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Customizable tools

Autonomous agents

Long-term memory

Extended context windows

External api connections

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Crab

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Framework for building LLM agent benchmark environments in a Python-centric way. Show more

Crab is an innovative framework developed by Camel AI, aimed at facilitating the construction and evaluation of environments specifically designed for large language model (LLM) agents. This versatile platform enables the seamless deployment of such environments across various settings, including in-memory systems, Docker-hosted environments, virtual machines, and even distributed physical machines. With its intuitive Python-focused interface, Crab offers users the flexibility to define complex agent environments and actions with ease, catering to diverse needs. Moreover, the app includes a cutting-edge benchmarking suite that delivers detailed evaluation metrics, ensuring comprehensive analysis and performance optimization. Crab stands out as an essential tool for developers and researchers looking to create and assess advanced LLM applications efficiently.

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Cross-platform deployment

Python-centric interface

Flexible use cases

Novel benchmarking suite

Fine-grained evaluation

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LlamaIndex

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LlamaIndex is the leading data framework for building LLM agents Show more

LlamaIndex is an innovative data framework tailored for seamless integration between custom data sources and large language models (LLMs). By streamlining the process of constructing and refining multi-agent AI systems, it empowers developers to execute complex tasks autonomously across diverse data types. The platform's robust support for both reading and writing functions ensures dynamic data ingestion and modification, elevating task execution efficiency. Users can leverage its sophisticated reasoning loop and tool abstractions, which facilitate intelligent data interactions and decision-making. With LlamaIndex, the barriers to deploying advanced AI systems are significantly reduced, making cutting-edge AI technology more accessible and adaptable to specific user needs.

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Custom data connection

Multi-agent ai

Dynamic data modification

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Qwen Agent

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Framework for building LLM applications with Qwen models' advanced capabilities Show more

Qwen Agent is an innovative open-source framework designed by Alibaba Cloud to streamline the development of Large Language Model (LLM) applications. It harnesses the robust capabilities of Qwen models, particularly in instruction-following, tool usage, planning, and memory retention, to create versatile AI agents. This framework offers a comprehensive suite of components tailored for LLMs, prompts, and agents, empowering developers to effortlessly construct and personalize AI solutions. Its flexible architecture allows for seamless integration of various tools, enabling the creation of AI agents capable of tackling intricate tasks with precision. Qwen Agent simplifies the process of developing sophisticated AI applications, making it an ideal choice for developers aiming to unlock the full potential of AI in their projects.

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Custom ai agents

Memory management

Instruction following

Tool usage

Planning capability

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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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AG2

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Framework for orchestrating, optimizing, and automating LLM workflows with multi-agent systems. Show more

AG2 is a cutting-edge, open-source framework designed to streamline the development of sophisticated multi-agent conversation systems. This innovative platform empowers developers to create specialized agents, each equipped with distinct roles and capabilities, to collaboratively achieve shared objectives. By utilizing advanced language models such as GPT-4, AG2 pushes the boundaries of what's possible in automated dialogue systems. It addresses the inherent limitations of these models by facilitating seamless integration with human inputs and a variety of tools, ensuring more accurate and context-aware interactions. The flexibility and scalability of AG2 make it an ideal choice for developers aiming to build dynamic, intelligent conversational environments. Whether for customer support, collaborative workflows, or interactive storytelling, AG2 promises to transform multi-agent communication into a more efficient and effective process.

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Workflow optimization

Multi-agent orchestration

Llm automation

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AgentForge

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A Python framework for creating, testing, and deploying LLM-powered agents. Show more

AgentForge is an innovative low-code framework designed to streamline the creation and deployment of AI-powered autonomous agents and Cognitive Architectures. By offering a user-friendly environment, it accelerates the process of developing, testing, and refining AI models. The platform supports a wide array of LLM models, including popular ones like OpenAI, Google's Gemini, Anthropic's Claude, as well as local models like Ollama or LMStudio. This compatibility provides users with the flexibility to select and run different models tailored to the requirements of distinct agents, enhancing efficiency and customization. Whether you're an enterprise or an individual developer, AgentForge facilitates a seamless and dynamic approach to harnessing the power of AI. With its focus on adaptability and speed, AgentForge is poised to democratize AI development and drive innovation across industries.

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Rapid development

Llm compatibility

Low-code framework

Agent testing

Model flexibility

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Langroid

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Multi-agent programming framework for LLM applications. Show more

Langroid is an innovative, open-source Python framework tailored for streamlining the development of applications using large language models (LLMs) through a multi-agent programming paradigm. It elevates agents to first-class entities, enabling developers to equip them with advanced capabilities such as LLMs, vector databases, and function-calling tools. This framework facilitates collaborative problem-solving by promoting a unique "conversational programming" approach, where agents interact and exchange messages to achieve tasks collectively. Langroid's flexibility allows seamless integration with both local or open-source and remote or proprietary LLMs, providing developers with a versatile tool for creating intelligent systems. Whether you're working on simple automations or complex AI-driven applications, Langroid offers a robust environment to harness the power of LLMs effectively.

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Llm integration

Multi-agent framework

Conversational programming

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outwrite.ai

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AI SEO, LLM SEO, AEO, LLM Citation Optimization, Content Marketing, B2B Marketing, Content Syndicati Show more

Outwrite.ai is a pioneering platform focused exclusively on AI SEO and Large Language Model (LLM) citation optimization, designed to keep brands visible in the evolving digital landscape. As user search behaviors transition from traditional search engines like Google to AI-driven tools such as ChatGPT, Gemini, Claude, and Perplexity, Outwrite.ai ensures your content remains discoverable. The platform excels in structuring, distributing, and rendering content machine-readable, allowing LLMs to effortlessly locate and cite your material in their responses. This adaptation helps safeguard brands from diminishing online presence, ensuring they remain relevant and visible as AI technologies reshape information access. With Outwrite.ai, businesses can confidently navigate this shift and maintain their competitive edge in the AI-driven future.

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Ai seo platform

Llm citation optimization

Content structuring

Machine-readable content

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Bee Agent Framework

8.2

1 Reviews

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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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llm scout

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LLM Scout tracks your brand across ChatGPT, Claude, Perplexity and Google AI Overviews Show more

LLM Scout is an innovative application designed to help businesses monitor their brand presence across leading AI platforms such as ChatGPT, Claude, Perplexity, and Google AI Overviews. By tracking mentions of your brand, LLM Scout provides valuable insights into how your brand is perceived compared to competitors. This app offers a comprehensive analysis of your visibility, showcasing when and where your brand is discussed. With its user-friendly dashboard, you can easily interpret data and trends, empowering you to make informed decisions on enhancing your brand’s reach and reputation. Additionally, LLM Scout offers actionable recommendations, guiding you on steps to improve your prominence and engagement across these influential AI platforms. Whether you’re a marketing professional or a brand manager, LLM Scout equips you with the tools needed to stay ahead in the digital conversation.

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Competitor comparison

Brand tracking

Mention monitoring

Visibility insights

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ShortGPT

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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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MADS

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A multi-agent framework that enable users to perform a data science pipeline with just two inputs Show more

MADS is an innovative application by AI Flow Solutions designed to streamline the data science process with remarkable efficiency. By requiring only a problem description and a CSV file containing data, MADS automates the entire data science pipeline, simplifying complex operations for users. The app leverages a sophisticated multi-agent system to deliver predictive insights, generate comprehensive reports, and train machine learning models with minimal user intervention. Built upon the powerful Autogen framework, MADS promises robustness and adaptability in handling diverse data science tasks. Exciting future developments include integrating reinforcement learning, which will elevate the capabilities of its agents, thus enhancing overall performance. MADS stands out as a cutting-edge tool poised to revolutionize how users interact with data science processes, making it accessible and efficient for both novices and experts.

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Multi-agent framework

Data pipeline automation

Prediction generation

Detailed data reporting

Machine learning training

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Agno

8.2

1 Reviews

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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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AutoGen

8.2

1 Reviews

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An Open-Source Programming Framework for Agentic AI Show more

AutoGen is a cutting-edge open-source framework created by Microsoft Research, designed for the development of next-generation applications leveraging Large Language Models (LLMs). It uniquely supports multi-agent conversations, empowering developers to construct sophisticated AI workflows where multiple specialized agents collaborate seamlessly to tackle complex tasks. The framework streamlines the process of creating LLM-powered applications by offering flexibility in configuring diverse LLM setups, enabling efficient tool usage, and facilitating interactive human-AI dialogues. With AutoGen, developers can easily craft advanced AI systems that are capable of dynamic interaction and problem-solving. This innovative tool is ideal for those looking to explore and extend the potential of LLMs, driving forward the capabilities of AI applications in various domains.

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Multi-agent conversations

Complex ai workflows

Specialized agent collaboration

Llm application development

Human-ai interaction

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Agent Zero

8.2

1 Reviews

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A dynamic, general-purpose framework for creating custom AI Agents. Show more

Agent Zero is an innovative AI framework that empowers users to create personalized AI assistants tailored to their unique needs. With a focus on flexibility and interactivity, the platform allows users to design agents that can execute commands, gather information, and collaborate seamlessly with other agents. A key feature of Agent Zero is its commitment to full customization, offering users the ability to modify the agent's behavior, tools, and interactions to fit a wide range of applications. Operating in a transparent environment, Agent Zero ensures that users have real-time control over their agents, guiding actions as needed. This adaptability makes it an ideal choice for users looking to develop bespoke solutions for personal, professional, or organizational use. Agent Zero stands out as a versatile tool in the rapidly evolving landscape of AI technology, combining simplicity with powerful customization.

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Real-time interaction

Custom ai creation

Agent cooperation

Behavior modification

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Ai-agent Llm framework apps

Related Categories

Price

Based on reviews

Showing 1 to 20 of 2 Apps

Rig

MemGPT

Mini LLM Flow

GenSphere

MemGPT

Crab

LlamaIndex

Qwen Agent

AutoAgent

AG2

AgentForge

Langroid

outwrite.ai

Bee Agent Framework

llm scout

ShortGPT

MADS

Agno

AutoGen

Agent Zero