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AutoGen

AutoGen

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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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AutoGen

AutoGen

  • Free Plan Available
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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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Aider

Aider

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AI pair programming tool for terminal-based code editing with LLMs.

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Semantic Kernel

Semantic Kernel

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SDK for integrating and orchestrating AI models with conventional programming languages. Show more

Semantic Kernel is a versatile open-source SDK designed to enhance application development by seamlessly integrating AI capabilities from platforms like OpenAI, Azure OpenAI, and Hugging Face. It offers developers a range of abstractions that simplify interaction with diverse AI models, ensuring a smoother and more reliable implementation process. By utilizing Semantic Kernel, developers can fine-tune prompts and devise strategic task planning, resulting in more controlled and tailored user experiences. This SDK empowers users to harness the power of AI efficiently, facilitating the addition of advanced functionality without deep AI expertise. Whether building new applications or augmenting existing ones, Semantic Kernel provides the tools necessary for innovation and adaptability in the rapidly evolving field of artificial intelligence.
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Ai model integration
Orchestration capabilities
Programming language compatibility
Prompt fine-tuning
Task planning support
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Bee Agent Framework

Bee Agent Framework

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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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ShortGPT

ShortGPT

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

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GenSphere

GenSphere

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Declarative framework to build, share and combine LLM application components

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MADS

MADS

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

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MemGPT

MemGPT

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

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Agno

Agno

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

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Agent Zero

Agent Zero

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

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Project Alice

Project Alice

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

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BabyAGI

BabyAGI

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An experimental framework for a self-building autonomous agent

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PraisonAI

PraisonAI

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Multi AI Agents Framework to Automate Tasks

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Crab

Crab

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

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Adala

Adala

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Autonomous DAta (Labeling) Agent framework

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MetaGPT

MetaGPT

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AI-driven multi-agent framework for automated software development and project management

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UFO

UFO

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UI-focused multi-agent framework for Windows OS interactions.

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LangChain

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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SmolAgents

SmolAgents

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Lightweight AI agent development framework for rapid creation of powerful agents

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