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

Flexible framework for managing multiple AI agents and handling complex conversations Show more

The Multi-Agent Orchestrator is a dynamic framework crafted by AWS to streamline the management of multiple artificial intelligence agents, enabling seamless orchestration of sophisticated conversations. With its intelligent query-routing capabilities, it directs inquiries to the most appropriate agent, ensuring optimal responses. The orchestrator diligently maintains conversational context, enhancing the coherence and relevance of interactions. Designed for versatility, it integrates effortlessly with a wide array of environments and supports both streaming and non-streaming response formats. Developers benefit from its pre-built components for swift deployment, while also having the flexibility to incorporate custom agents, making it a robust solution for tailored conversational AI needs.
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Intelligent routing
Context maintenance
Environment integration
Streaming support
Custom agent integration

Home assistant agent Show more

The AI Agent for Home Assistant is an innovative custom component designed to seamlessly enhance your smart home experience. Utilizing powerful AI technology, the app allows users to generate home automations through simple natural language queries, making the process of managing home devices intuitive and effortless. By integrating with all entities within your Home Assistant setup, this agent translates your spoken or typed requests into executable home operations, ensuring a smooth and user-friendly interaction. Whether you're looking to automate lighting, climate control, or security systems, the AI Agent leverages OpenAI's or Llama API to deliver precise and efficient solutions tailored to your needs. Ideal for both tech-savvy users and those new to smart home systems, this app transforms abstract desires into tangible automations, simplifying everyday life. Experience the future of home management with AI-driven intelligence at your fingertips.
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Ai-powered operations
Natural language automation
Entity connection integration

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

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

Build Smarter Apps with Language Models Show more

LM-Kit SDK is an advanced software development kit that empowers developers using .NET to create sophisticated AI-driven applications. By offering multifaceted multimodal generative AI capabilities, LM-Kit SDK enables the development of custom AI agents and the orchestration of complex multi-agent systems. The SDK comes equipped with a comprehensive suite of tools for data processing, text analysis, translation, text generation, and optimization, seamlessly integrating into C# and VB.NET projects. This integration allows for streamlined development processes, significantly enhancing productivity and innovation. LM-Kit SDK stands out by providing robust AI solutions, making it an indispensable resource for developers aiming to incorporate cutting-edge AI technologies into their applications. With LM-Kit.NET, developers can push the boundaries of AI development and create more intuitive, responsive, and intelligent software solutions.
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Custom ai agents
Multimodal ai capabilities
Coordinated multi-agent operation
Integrated data processing
Text analysis tools
Translation functions

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

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

Open-source universal frontend for your AI Agents Show more

AgentLabs is an innovative open-source platform designed for developers who want to create and deploy AI-powered chat applications effortlessly, even without any front-end experience. The platform offers a versatile and customizable frontend interface that simplifies the development process by handling user-facing components for you. With real-time communication capabilities, AgentLabs ensures seamless and dynamic interactions within your chat applications. It also provides robust tools for managing AI agents, allowing you to concentrate on building and refining your backend development. This makes AgentLabs an ideal solution for developers aiming to harness the power of AI without being bogged down by the complexities of front-end development. Whether you're a seasoned developer or just starting out, AgentLabs equips you with everything needed to bring sophisticated chat applications to life efficiently.
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Real-time communication
Ai agent management
Customizable frontend interface

AI toolkit for building natural language interfaces

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

AutomationEdge: Specializing in AI Solutions and RPA Automation Show more

CareFlo AI is an innovative application rooted in AutomationEdge's renowned automation platform, specializing in AI Automation and Robotic Process Automation (RPA) for the home healthcare sector. It empowers healthcare providers by streamlining repetitive administrative tasks and enhancing operational efficiency, thus allowing professionals to focus more on patient care. By automating processes such as medical data management, appointment scheduling, and compliance tracking, CareFlo AI significantly reduces operational costs and improves service delivery. The app seamlessly integrates with existing healthcare systems, ensuring a smooth digital transformation journey for organizations. Through its advanced AI capabilities, CareFlo AI not only boosts productivity but also elevates the quality of patient care by providing real-time insights and personalized care solutions. Whether addressing the needs of healthcare providers or IT services, CareFlo AI stands as a critical tool for enhancing efficiency and improving outcomes in the modern healthcare landscape.
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Process automation
Operational cost reduction
Ai automation
Efficiency improvement
Rpa automation
Task streamlining

Unified interface for multiple LLM APIs Show more

LiteLLM is an innovative open-source package designed to streamline the integration of various Large Language Model (LLM) APIs. By providing a standardized interface, it allows developers to easily interact with multiple LLM providers such as OpenAI, Azure, Anthropic, and more. The package eliminates the complexity of adapting to different API formats by offering a consistent OpenAI-like input structure. Moreover, LiteLLM enhances efficiency with its built-in features like streaming, logging, and load balancing. Users can enjoy seamless transitions between different LLM services, making application development more efficient and robust. Ideal for developers seeking flexibility and reliability, LiteLLM is a powerful tool for optimizing interactions with diverse language model APIs.
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Load balancing
Integrated logging
Standardized interface
Consistent input format
Built-in streaming

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

Intelligent Agents for Everyone Show more

Agience is an innovative open-source intelligent agent framework designed to seamlessly integrate devices, systems, and data, enabling unprecedented levels of automation and efficiency. With its robust architecture, Agience facilitates the dynamic interaction and coordination of various technological components within a unified ecosystem. The framework is adaptable to a wide range of applications, offering flexibility and scalability that cater to the specific needs of businesses and developers alike. By leveraging machine learning and artificial intelligence, Agience enhances decision-making processes and optimizes resource utilization. Its open-source nature encourages community collaboration, fostering continuous improvement and innovation within the platform. Whether it’s streamlining complex workflows or enhancing the operation of interconnected devices, Agience serves as a powerful tool in the digital transformation landscape.
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Data automation
Efficiency enhancement
System integration
Device connectivity

Python Agent Framework for building production-grade Generative AI applications Show more

PydanticAI is an innovative Python framework tailored for developers aiming to create production-ready applications harnessing the capabilities of Generative AI. With its model-agnostic support, it allows seamless integration with a wide variety of AI models, providing flexibility and scalability. By leveraging Pydantic's robust data validation features, PydanticAI ensures type-safety and structured response validation, which enhances the reliability of AI-driven solutions. A standout feature is its novel dependency injection system that simplifies complex workflows, making development more efficient. This framework is designed to streamline the process of building robust and effective AI-powered applications, reducing the time and effort typically required. Ideal for both novice and experienced developers, PydanticAI makes it easy to harness the potential of AI in your projects.
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Response validation
Model-agnostic support
Type-safety
Dependency injection

Framework for creating AI agents that remember past interactions and can perform complex tasks

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 code-first agent framework for planning and executing data analytics tasks. Show more

TaskWeaver is a groundbreaking open-source framework from Microsoft, crafted to revolutionize the way developers approach data analytics tasks. It offers a unique code-first approach that enables seamless planning and execution of tasks by interpreting user requests through code snippets. TaskWeaver stands out with its ability to coordinate multiple plugins efficiently, making it an invaluable tool for managing complex data structures. Unlike traditional frameworks, it meticulously preserves chat and code execution history, allowing for enhanced handling of stateful execution processes. This makes it particularly suited for developers looking to automate, streamline, and optimize their data workflows. With its robust feature set, TaskWeaver empowers developers to tackle sophisticated data challenges with precision and ease.
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Task automation
Code-first approach
Plugin coordination
Stateful execution
Chat history preservation
Complex data handling
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