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"Efficient bulk ordering with reliable support and scalable infrastructure." Show more

Bulk Order & Wholesale by MINIBC is a robust app designed to streamline the ordering process for businesses looking to manage bulk orders and wholesale transactions efficiently. Built on a custom app framework, it provides significant flexibility to tailor the ordering experience to your specific needs. For a one-time installation fee of $500, followed by a monthly subscription of $49.99, users can enjoy a powerful, reliable app hosted on the Amazon Web Services platform. This app boasts an auto-scaling infrastructure that ensures high availability, comparable to BigCommerce, while a built-in fallback system guarantees uninterrupted site operation should the app encounter any issues. Customer support via phone and email is readily available, ensuring you have assistance whenever needed. Additional features are continuously added based on popular demand, ensuring the app evolves with the needs of its users. Furthermore, MINIBC is dedicated to developing other innovative apps, positioning themselves as a comprehensive solution provider.
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Wholesale portal creation
Flexible configuration options
Auto-scaling infrastructure

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

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

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

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

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

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 Show more

SmolAgents is a compact and efficient intelligent agent library crafted by Hugging Face to streamline the development of AI agent systems. Despite its lightweight core of around 1,000 lines of code, the app offers robust feature integration, making it ideal for developers seeking simplicity and power. It supports code execution agents, enabling diverse applications and enhancing flexibility in AI solutions. SmolAgents is compatible with a wide range of mainstream large language models, broadening its usability across different AI projects. A standout feature is its secure Python interpreter and sandboxed environment, ensuring safe code execution without compromising security. This makes SmolAgents a reliable tool for developers who prioritize both functionality and safety in AI development. Whether for experimentation or production, SmolAgents provides a streamlined approach to building intelligent agents.
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Llm integration
Ai agent library
Code execution support
Simplified development
Sandboxed environment

Powerful multi-agent simulation framework for creating and managing autonomous AI agents. Show more

ElizaOS is an innovative open-source framework designed with TypeScript for seamless creation, deployment, and management of autonomous AI agents. Tailored for developers, it supports complex multi-agent architectures, enabling sophisticated communication and collaboration between agents. The framework stands out with its robust integration capabilities across various platforms, ensuring flexibility and adaptability for diverse development needs. Among its advanced features are memory management and media processing, which empower developers to build efficient and dynamic AI systems. ElizaOS is specifically designed to transform AI agent development within Web3 and blockchain environments, unlocking new potentials in these cutting-edge fields. By offering a comprehensive suite of tools and features, ElizaOS aims to set a new standard in AI framework solutions, driving innovation and efficiency across the tech landscape.
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Autonomous ai agents
Memory management
Multi-agent architecture
Media processing

LlamaIndex is the leading data framework for building LLM agents

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