Best AI Agents for Hugging Face

Flowise is open source and will always be free to use for commercial and private purposes. Build LLMs apps easily with Flowise, an open source UI visual tool to build your customized LLM flow using LangchainJS, written in Node Typescript/Javascript. Open source MIT License, see your LLM applications running live, and manage component integrations. GitHub Q&A using conversational retrieval QA chains. Language translation using LLM chains with a chat model and chat prompt template. Conversational agent for chat model that uses chat-specific prompts.

Qwen2.5-VL is an advanced vision-language model in the Qwen series, offering improved visual comprehension and reasoning over its predecessor, Qwen2-VL. It can accurately interpret a wide range of visual elements, including text, charts, icons, and layouts, making it highly effective for complex image and document analysis. Acting as an intelligent visual agent, the model can dynamically interact with tools, analyze extended video content over an hour long, and identify key segments with precision. It also excels in object localization, generating bounding boxes or points with structured JSON outputs for various attributes. Additionally, Qwen2.5-VL supports structured data extraction from documents such as invoices, forms, and tables, benefiting industries like finance and commerce. Available in base and instruct versions across 3B, 7B, and 72B model sizes, it is accessible on platforms like Hugging Face and ModelScope for seamless integration.

AI agents that interact and answer questions with users and complete tasks using your data and APIs. AI that can answer questions, summarize and extract insights from any long document. Transfer styles and formats, as well as tags and summaries between documents and data sources. Stack AI is used by developer teams to automate customer service, process documents, qualify leads, and search libraries of data. With a single button, you can try multiple LLM architectures and prompts. Collect data, run fine-tuning tasks and build the optimal LLM to fit your product. We host your workflows in APIs, so that your users have access to AI instantly. Compare the fine-tuning services of different LLM providers.

Say goodbye to manual code and build agents faster. SmythOS will build the agent you need from your chat or images, using the best AI models for your task. Use any AI model. Integrate with OpenAI Hugging Face Amazon Bedrock and hundreds of vendors, without writing a single line of code. A pre-built template library provides you with agents that work right out of the gate for dozens of different use cases. Simply click the button to connect using your API keys. Your marketing team shouldn't have access to agents who work with your code. We got you covered. Create a space with full permission and user management for each client, project, and team. Deployment on-prem, or to AWS. Integrate with Bedrock Vertex Adobe Salesforce etc. AI that is easy to understand with full control of data flows, audit logs and encryption. Chat with your agents. Assign them bulk work. Inspect their work logs.

Weave is an AI workflow builder without coding that allows users to automate tasks using multiple Large Language Models and connecting prompts, all without the need to code. Users can customize templates and turn workflows into automated solutions using an intuitive interface. Weave supports a variety of AI models including those from OpenAI Meta, Hugging Face and Mistral AI. This allows for seamless integration and fine tuning to achieve industry-specific outcomes. The key features are intuitive dataflow management and app-ready APIs to make integration easy, AI hosting, cost effective AI models, seamless personalization, user-friendly modules, and AI hosting. Weave is perfect for applications like generating character dialogue, creating intelligent chatbots and automating written material.

Dify is an open-source platform that simplifies the creation and management of generative AI applications. It offers a user-friendly orchestration studio for designing workflows, a dedicated Prompt IDE for crafting and testing prompts, and robust LLMOps tools for monitoring and optimizing large language models. Compatible with leading AI models like OpenAI’s GPT series and open-source options such as Llama, Dify provides developers with the flexibility to choose the best models for their projects. Its Backend-as-a-Service (BaaS) capabilities make it easy to integrate AI features into existing systems, enabling the development of intelligent tools like chatbots, document summarizers, and virtual assistants.

Nurix AI, a Bengaluru based company, specializes in the development and customization of AI agents to automate and enhance enterprise processes across various sectors including sales and customer service. Nurix AI's platform seamlessly integrates with existing enterprise systems. AI agents can execute complex tasks autonomously and provide real-time answers, as well as make intelligent decisions, without constant human supervision. Their proprietary voice-tovoice model is a standout feature, as it supports low-latency human-like conversations, in multiple languages. This enhances customer interactions. Nurix AI provides tailored AI services to startups. It offers end-to-end solutions for building and scaling AI products without extensive in-house teams. Their expertise includes large language models, cloud-integration, inference and model training. This ensures that clients receive enterprise-ready AI products.

CrewAI is an industry-leading multi-agent platform. It allows organizations to streamline workflows in various industries using any Large Language Model and cloud platform. It offers a comprehensive set of tools, such as a framework and UI Studio to facilitate rapid development of multiagent automations. The platform offers flexible deployment options. Users can confidently move their 'crews,' or teams of AI agents, to production using powerful tools and autogenerated user interfaces. CrewAI provides users with robust monitoring capabilities that allow them to track their AI agents' performance and progress on both simple and complicated tasks. It also offers testing and learning tools to continuously improve the efficiency and quality produced by these AI agents.

Langflow is an AI builder that uses low-code to create agentic, retrieval-augmented generation apps. It provides a visual interface which allows developers to build complex AI workflows by dragging and dropping components. This facilitates rapid experimentation, prototyping and testing. The platform is Python based and independent of any model, API or database. This allows for seamless integration with a variety of tools and stacks. Langflow is a platform that supports the development and deployment of intelligent chatbots as well as document analysis systems and multi-agent apps. It has features like dynamic input variables, fine tuning capabilities, and the creation of custom components. Langflow also integrates with a number of services, such as Cohere Bing HuggingFace OpenAI Pinecone and Anthropic. The platform allows developers to use pre-built components, or create their own. This increases flexibility in AI application creation. The platform offers a free cloud-based service for quick deployment.

Smolagents, an AI agent framework, was developed to simplify the creation of intelligent agents using minimal code. It supports code-first agents, where agents execute Python code to perform tasks. This offers enhanced efficiency compared with traditional JSON-based methods. Smolagents integrates large language models such as those from Hugging face, OpenAI, etc., allowing developers to create agents capable of controlling workflows, calling functions, and interacting with external systems. The framework is user-friendly and requires only a few lines to define and run agents. It has secure execution environments such as sandboxed space for safe code running. Smolagents promotes collaboration through its integration with Hugging Face Hub. Users can share and import tools. It supports a wide range of use cases from simple tasks to multiagent workflows. This offers flexibility and performance improvements.