Best AI Agents for DeepSeek R1
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Compare the Top AI Agents that integrate with DeepSeek R1 as of November 2025
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This a list of AI Agents that integrate with DeepSeek R1. Use the filters on the left to add additional filters for products that have integrations with DeepSeek R1. View the products that work with DeepSeek R1 in the table below.
What are AI Agents for DeepSeek R1?
AI agents are autonomous systems designed to perform specific tasks by simulating intelligent behavior. They can perceive their environment, make decisions, and take actions to achieve particular goals based on their programming or learning. These agents can be rule-based, relying on pre-set instructions, or machine learning-based, adapting their behavior over time through experience. AI agents are used in various applications, from virtual assistants to self-driving cars and even decision-making systems in business. Their capabilities range from simple automation to complex problem-solving and predictive tasks. Compare and read user reviews of the best AI Agents for DeepSeek R1 currently available using the table below. This list is updated regularly.
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1
Vertex AI
Google
AI Agents within Vertex AI are designed to automate tasks by leveraging machine learning models that can handle complex decisions and interactions. These agents can be trained to process natural language, understand context, and take autonomous actions based on data. By automating critical business processes, companies can enhance productivity and improve customer satisfaction. New customers receive $300 in free credits, enabling them to experiment with creating their own AI agents and test their performance on real-world tasks. With Vertex AI’s powerful infrastructure, businesses can deploy these agents across various domains, from customer service to operations, all while maintaining flexibility and scalability.Starting Price: Free ($300 in free credits) -
2
Amazon Bedrock
Amazon
Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices. -
3
BLACKBOX AI
BLACKBOX AI
BLACKBOX AI is an advanced AI-powered platform designed to accelerate coding, app development, and deep research tasks. It features an AI Coding Agent that supports real-time voice interaction, GPU acceleration, and remote parallel task execution. Users can convert Figma designs into functional code and transform images into web applications with minimal coding effort. The platform enables screen sharing within IDEs like VSCode and offers mobile access to coding agents. BLACKBOX AI also supports integration with GitHub repositories for streamlined remote workflows. Its capabilities extend to website design, app building with PDF context, and image generation and editing.Starting Price: Free -
4
Semantic Kernel
Microsoft
Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions. Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel because it’s flexible, modular, and observable. Backed with security-enhancing capabilities like telemetry support, hooks, and filters you’ll feel confident you’re delivering responsible AI solutions at scale. Version 1.0+ support across C#, Python, and Java means it’s reliable, and committed to nonbreaking changes. Any existing chat-based APIs are easily expanded to support additional modalities like voice and video. Semantic Kernel was designed to be future-proof, easily connecting your code to the latest AI models evolving with the technology as it advances.Starting Price: Free -
5
Snowflake Cortex AI
Snowflake
Snowflake Cortex AI is a fully managed, serverless platform that enables organizations to analyze unstructured data and build generative AI applications within the Snowflake ecosystem. It offers access to industry-leading large language models (LLMs) such as Meta's Llama 3 and 4, Mistral, and Reka-Core, facilitating tasks like text summarization, sentiment analysis, translation, and question answering. Cortex AI supports Retrieval-Augmented Generation (RAG) and text-to-SQL functionalities, allowing users to query structured and unstructured data seamlessly. Key features include Cortex Analyst, which enables business users to interact with data using natural language; Cortex Search, a hybrid vector and keyword search engine for document retrieval; and Cortex Fine-Tuning, which allows customization of LLMs for specific use cases.Starting Price: $2 per month -
6
GenFlow 2.0
Baidu
GenFlow 2.0 is a next-generation AI agent system powered by Baidu Wenku’s proprietary Multi-Agent Parallel Architecture, orchestrating over 100 AI agents in parallel to reduce complex task processing from hours to under three minutes. It offers full transparency and user control throughout execution. Users can pause tasks at any stage, modify instructions on the fly, and edit intermediate results, ensuring human-AI collaboration remains dynamic and precise. To enhance reliability and accuracy, GenFlow 2.0 autonomously accesses vast knowledge bases, including Baidu Scholar’s 680 million peer-reviewed publications, Baidu Wenku’s 1.4 billion professional documents, and user-approved Netdisk files, leveraging retrieval-augmented generation and multi-agent cross-validation to minimize hallucinations. The platform supports a wide array of multimodal outputs, ranging from copywriting and visual design to slide generation, research reports, animations, and code.Starting Price: Free -
7
iMini
iMini
iMini is an AI-assistant platform offering an AI agent that consolidates multiple AI tools into a single interface, so users don’t need to switch between specialized apps. It supports services like AI chat, AI slides, AI docs, AI video, and AI image, plus a feature called deep research to rapidly aggregate, analyze, and present insights. You provide a prompt or describe what you need, say, “Create a new energy slide with market data", and iMini produces a deliverable (presentation slide, report, image/video, etc.) quickly. Typical tasks such as slide creation, report writing, or deep research are said to be completed in about 10 minutes, saving around 5 hours on average. The product is positioned to deliver “productivity close to four regular employees” under its Max membership, generating dozens of professional outputs every month.Starting Price: $10 per month -
8
Azure AI Foundry
Microsoft
Azure AI Foundry is a unified application platform for your entire organization in the age of AI. Azure AI Foundry helps bridge the gap between cutting-edge AI technologies and practical business applications, empowering organizations to harness the full potential of AI efficiently and effectively. Azure AI Foundry is designed to empower your entire organization—developers, AI engineers, and IT professionals—to customize, host, run, and manage AI solutions with greater ease and confidence. This unified approach simplifies the development and management process, helping all stakeholders focus on driving innovation and achieving strategic goals. Azure AI Foundry Agent Service is a powerful component designed to facilitate the seamless operation of AI agents throughout the entire lifecycle—from development and deployment to production. -
9
Decompute Blackbird
Decompute
Decompute Blackbird is a platform that challenges the traditional centralized approach to artificial intelligence by decentralizing AI compute power. The platform enables teams to train task-specific AI models on their own data, directly where the data resides, rather than relying on centralized cloud services. This approach allows businesses to optimize their AI capabilities by giving different teams the ability to develop and train models more efficiently and securely. Decompute aims to scale enterprise AI by focusing on decentralized AI infrastructure, helping organizations better leverage their data without compromising privacy or performance. -
10
Surf.new
Steel.dev
Surf.new is a free, open-source playground for testing and using AI agents that can browse the web. These agents surf the web and interact with webpages similarly to how a human would, making tasks like automation and web research easy and intuitive. Whether you're a developer evaluating web agents for production use or someone looking to automate repetitive tasks like checking flights, scraping product information, or booking reservations, Surf.new provides an accessible environment to quickly experiment and see how web agents perform. Key Features: Swap between AI Agent Frameworks with a button: Supports Browser-use, an experimental Claude Computer-use-based agent, and integrates smoothly with LangChain—allowing easy experimentation with different approaches. Diverse AI Model Compatibility: Compatible with popular models including Claude 3.7, DeepSeek R1, OpenAI models, Gemini 2.0 Flash, and others—giving you the flexibility to choose what works best.
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