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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

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

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

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

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

Declarative framework to build, share and combine LLM application components

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

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

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

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

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

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

An experimental framework for a self-building autonomous agent

Multi AI Agents Framework to Automate Tasks

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

Autonomous DAta (Labeling) Agent framework

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

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

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

Lightweight AI agent development framework for rapid creation of powerful agents

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