Best Agentic AI Platforms for Docker
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Compare the Top Agentic AI Platforms that integrate with Docker as of July 2026
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This a list of Agentic AI platforms that integrate with Docker. Use the filters on the left to add additional filters for products that have integrations with Docker. View the products that work with Docker in the table below.
What are Agentic AI Platforms for Docker?
Agentic AI platforms enable organizations to build, deploy, and manage autonomous or semi-autonomous AI agents that can plan, reason, and take actions across systems. These platforms provide tools for agent orchestration, memory management, tool integration, and decision-making workflows. They often support multi-agent collaboration, monitoring, and governance to ensure reliability and compliance. Many agentic AI platforms integrate with enterprise applications, data sources, and APIs to execute complex tasks end to end. By operationalizing intelligent agents, agentic AI platforms help businesses automate knowledge work and scale AI-driven operations. Compare and read user reviews of the best Agentic AI platforms for Docker currently available using the table below. This list is updated regularly.
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1
Google AI Studio
Google
Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models, including Gemini 3.5. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows.Starting Price: Free -
2
Retool
Retool
Retool is the AI-native enterprise app development platform where teams build and ship production-ready apps — at AI speed, with enterprise governance built in. Describe what you need and get a working app, import React-based apps from Lovable, Replit, or Claude Code, or connect your AI agent via MCP. However your team builds, every app lands in Retool with RBAC, SSO, audit logging, and your existing permissions already in place. Retool connects to databases, APIs, LLMs, and external tools out of the box. Teams can build AI agents, dashboards, workflows, and full-stack apps — with a visual editor for speed and direct code access for precision. Trusted by over 10,000 organizations including Amazon, Stripe, DoorDash, and OpenAI to get AI-built apps safely to production.Starting Price: $10 per user per month -
3
Devin Desktop
Cognition
Devin Desktop (formerly Windsurf) is an AI-powered development environment that combines a full-featured IDE with advanced coding agents in a unified workspace. Formerly known as Windsurf, the platform enables developers to manage local and cloud-based AI agents, delegate tasks, review code, and ship software without leaving their editor. Developers can use multiple coding agents simultaneously to research, write, test, debug, and improve code while maintaining full visibility into every change. Devin Desktop includes features such as agent orchestration, shared workspaces, intelligent code completion, contextual code search, and integrated review tools. The platform supports a wide range of models, extensions, language servers, and MCP integrations, allowing teams to work with their preferred tools and workflows. Devin Desktop helps engineering teams accelerate software development, improve productivity, and manage AI-assisted coding at scale.Starting Price: Free -
4
PaioClaw
PaioClaw
PaioClaw is an AI assistant platform designed to simplify and enhance the OpenClaw experience for users. It enables individuals and teams to create and manage AI-powered assistants, known as “Claws,” with minimal setup. The platform focuses on eliminating common issues such as connection drops, complex configurations, and lack of visibility. Users can set up their Claw in under 60 seconds without needing technical expertise or server management. PaioClaw offers one-click integration with over 2,000 skills, allowing assistants to perform a wide range of tasks. It also provides real-time visibility into tasks, token usage, and AI activity for better control. The system is built with security in mind, offering encrypted environments and private data handling. PaioClaw helps users automate workflows, reduce token costs, and maintain always-on assistant performance.Starting Price: $19/month -
5
Latitude
Latitude
Latitude is an open-source prompt engineering platform designed to help product teams build, evaluate, and deploy AI models efficiently. It allows users to import and manage prompts at scale, refine them with real or synthetic data, and track the performance of AI models using LLM-as-judge or human-in-the-loop evaluations. With powerful tools for dataset management and automatic logging, Latitude simplifies the process of fine-tuning models and improving AI performance, making it an essential platform for businesses focused on deploying high-quality AI applications.Starting Price: $0 -
6
Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
7
LibreChat
LibreChat
LibreChat is a powerful open-source application that unifies all your AI conversations into a single, customizable interface. It is designed to work seamlessly with any AI provider, including OpenAI, Anthropic, AWS, and Azure, giving users full flexibility and control. LibreChat supports advanced agents capable of file handling, code interpretation, and API-driven actions. The platform includes a built-in code interpreter that can securely execute multiple programming languages with zero setup. Users can create and manage artifacts like React components, HTML, and Mermaid diagrams directly within chat. Multimodal capabilities allow users to analyze images and interact with files in conversations. Trusted by organizations worldwide, LibreChat delivers a sleek, extensible experience for modern AI workflows.Starting Price: Free -
8
Defang
Defang
Defang is a developer-centric platform that simplifies the process of developing, deploying, and debugging cloud applications. By leveraging AI-assisted tooling, Defang enables developers to swiftly transition from an idea to a deployed application on their preferred cloud provider. The platform supports multiple programming languages, including Go, JavaScript, and Python, allowing developers to start with sample projects or generate project outlines using natural language prompts. With a single command, Defang builds and deploys applications, handling configurations for computing, storage, load balancing, networking, logging, and security. The Defang Command Line Interface (CLI) facilitates interactions with the platform, offering installation options via shell scripts, Homebrew, Winget, Nix, or direct download. Developers can define services using compose.yaml files, which Defang utilizes to deploy applications to the cloud.Starting Price: $10 per month -
9
Cua
Cua
Cua is a computer-use agent platform that lets AI agents see screens, click buttons, type, and run code just like a human across macOS, Windows, Linux, browsers, and mobile environments. It provides cloud-based, sandboxed desktops where agents can automate real software workflows without relying on APIs. Built on open-source Cua agents, the platform enables developers to build, run, and scale computer-use agents with precision and reliability. Cua supports multi-step tasks, structured outputs, and human-in-the-loop recovery for complex automation. Agents operate in fully isolated environments to ensure safety and reproducibility. Cua is designed to make AI interaction with real applications practical and scalable.Starting Price: $10/month -
10
Notte
Notte
Notte is a full-stack web AI agents framework that allows you to develop, deploy, and scale your own agents, all with a single API. It transforms the internet into an agent-friendly environment, turning websites into structured, navigable maps described in natural language. Notte provides on-demand headless browser instances with built-in and custom proxy configurations, CDP, cookie integration, and session replay. It enables the execution of autonomous agents powered by LLMs to solve complex tasks on the web. For scenarios requiring more precise control, Notte offers a fully functional web browser interface for LLM agents. It includes a secure vault and credentials management system that allows you to safely share authentication details with AI agents. Notte's perception layer turns the internet into an agent-friendly environment by converting websites into structured maps described in natural language, ready to be digested by an LLM with less effort.Starting Price: $25 per month -
11
AgentSea
AgentSea
AgentSea is an open source platform designed to build, deploy, and share AI agents with ease. It delivers a collection of libraries and tools for building AI agent apps, favoring the UNIX philosophy of doing one thing well. Tools can be used individually or stacked together into a single agent app, and are compatible with frameworks like LlamaIndex and LangChain. Key components include SurfKit, a Kubernetes-style orchestrator for agents; DeviceBay, offering pluggable devices like file systems and desktops; ToolFuse, a library that wraps scripts, third-party apps, and APIs as Tool implementations; AgentD, a daemon making a Linux desktop OS accessible to bots; AgentDesk, a library for running AgentD-powered VMs; Taskara, for task management; ThreadMem, for building multi-role persistent threads; and MLLM, simplifying communication with multiple LLMs and multimodal LLMs. AgentSea also offers alpha agents like SurfPizza and SurfSlicer, which navigate GUIs using multimodal approaches.Starting Price: Free -
12
Kodosumi
Masumi
Kodosumi is an open source, framework-agnostic runtime environment built on Ray for deploying, managing, and scaling agentic services at the enterprise level. It enables effortless deployment of AI agents with a single YAML config, offering minimal setup overhead and no vendor lock-in. Designed for handling bursty traffic and long-running workflows, it dynamically scales across Ray clusters to ensure consistent performance. Kodosumi integrates real-time logging and monitoring through the Ray dashboard, providing instant observability and streamlined debugging of complex flows. Core building blocks include autonomous agents (task performers), orchestrated flows, and deployable agentic services, all managed via a pragmatic web admin panel.Starting Price: Free -
13
TEN
TEN
TEN (Transformative Extensions Network) is an open source framework designed to empower developers to build real-time multimodal AI agents capable of voice, video, text, image, and data-stream interaction with ultra-low latency. It includes a full ecosystem, TEN Turn Detection, TEN Agent, and TMAN Designer, allowing developers to rapidly assemble human-like, responsive agents that can see, speak, hear, and interact. With support for languages like Python, C++, and Go, it offers flexible deployment on both edge and cloud environments. Using components like graph-based workflow design, drag-and-drop UI (via TMAN Designer), and reusable extensions such as real-time avatars, RAG (Retrieval-Augmented Generation), and image generation, TEN enables highly customizable, scalable agent development with minimal code.Starting Price: Free -
14
Edison Analysis
Edison Scientific
Edison Analysis is a next-generation scientific data-analysis agent built by Edison Scientific. It is the analytical engine underpinning their AI Scientist platform, Kosmos, and it’s available both on Edison’s platform and via API. Edison Analysis performs complex scientific data analysis by iteratively building and updating Jupyter notebooks in a dedicated environment; given a dataset plus a prompt, the agent explores, analyzes, and interprets the data to provide comprehensive insights, reports, and visualizations, very much like a human scientist. It supports execution of Python, R, and Bash code, and includes a full suite of common scientific-analysis packages in a Docker environment. Because all work is done within a notebook, the reasoning is fully transparent and auditable; users can inspect exactly how data was manipulated, which parameters were chosen, how conclusions were drawn, and can download the notebook and associated assets at any time.Starting Price: $50 per month -
15
Agent Zero
Agent Zero
Agent Zero is an open source AI agent framework designed to run autonomous AI assistants that can perform complex tasks by interacting directly with a computer system. It provides an environment where AI agents operate with real system access, allowing them to execute commands, write and run code, browse the web, analyze data, and manage workflows as part of real-world automation processes. Instead of functioning as a simple chat interface, Agent Zero runs in its own virtual environment where it can interact with the operating system, install tools, execute scripts, and coordinate tasks across multiple components. It emphasizes transparency and control, allowing developers to view, modify, and customize how the agent behaves, what tools it can access, and how it processes information. Agent Zero uses a modular architecture that allows the agent to dynamically create and use tools while maintaining persistent memory.Starting Price: $2.65 per month -
16
Genesis Computing
Genesis Computing
Genesis Computing provides an enterprise AI platform built around autonomous “AI data agents” that automate complex data engineering and analytics workflows across an organization’s existing technology stack. It introduces a new category of AI knowledge workers that operate as autonomous agents capable of executing full data workflows rather than simply suggesting code or analysis. These agents can research data sources, ingest and transform datasets, map raw data from source systems to structured analytical targets, generate and run data pipeline code, create documentation, perform testing, and monitor pipelines in production environments. By handling these tasks end-to-end, the platform reduces the manual workload typically required to build and maintain data pipelines and analytics infrastructure.Starting Price: Free -
17
Hermes Agent
Nous Research
Hermes Agent by Nous Research is an open-source autonomous AI agent designed to run locally on your server and improve over time. It operates independently from traditional chatbots by maintaining persistent memory and learning from past interactions. The agent can integrate with multiple platforms such as Slack, Discord, Telegram, and WhatsApp through a unified gateway. Hermes supports automation tasks like scheduling reports, managing workflows, and executing commands using natural language. It also enables parallel task execution through subagents, improving efficiency for complex operations. With built-in tools for web browsing, search, and code execution, it provides a versatile environment for various tasks. Overall, Hermes Agent acts as a continuously evolving AI system that adapts to user needs and workflows.Starting Price: $20/month -
18
HiClaw
AgentScope
HiClaw is an open source multi-agent OS powered by Matrix. It lets multiple AI agents collaborate in Matrix rooms, fully visible to humans, with real-time intervention capability. A Manager Agent coordinates multiple Worker Agents to complete complex tasks, intelligently decomposing work and enabling parallel execution for stronger complex task handling. Built for enterprise-grade security and multi-agent collaboration, HiClaw uses the open Matrix IM protocol so all agent communications remain transparent, auditable, and suitable for distributed deployment and federation. Humans can enter any Matrix room at any time to observe agent conversations, intervene, or correct agent behavior in real time, ensuring safety and control. It's clear that a two-tier Manager-Worker architecture gives each agent distinct responsibilities and makes it easier to extend the system with custom Worker Agents for different scenarios.Starting Price: Free -
19
Multica
Multica
Multica is an open source project management platform for human and agent teams, built to turn coding agents into real teammates rather than separate tools. It gives humans and AI agents the same workspace, where agents can be assigned issues, report progress, reply in comments, raise blockers, ship code, and appear in the member list with profiles, avatars, and open-issue queues. Users can assign work to an agent the same way they would hand a task to a teammate, or open a chat window to ask it to draft an issue, answer a question, or handle a one-off request. Multica’s shared context layer keeps issue comments, attachments, reports, task history, and workspace knowledge accessible to both people and agents, while skills act as workspace-wide playbooks that let every agent reuse the same definitions and operating instructions.Starting Price: Free -
20
AskUI
AskUI
AskUI is an innovative platform that enables AI agents to visually perceive and interact with any computer interface, facilitating seamless automation across various operating systems and applications. Leveraging advanced vision models, AskUI's PTA-1 prompt-to-action model allows users to execute AI-driven actions on Windows, macOS, Linux, and mobile devices without the need for jailbreaking. This technology is particularly beneficial for tasks such as desktop and mobile automation, visual testing, and document or data processing. By integrating with tools like Jira, Jenkins, GitLab, and Docker, AskUI enhances workflow efficiency and reduces the burden on developers. Companies like Deutsche Bahn have reported significant improvements in internal processes, citing over a 90% increase in efficiency through the use of AskUI's test automation capabilities. -
21
Factory
Factory.ai
Factory.ai is an agent-native software development platform designed to automate and accelerate engineering workflows. It enables developers to delegate complex tasks like refactoring, migrations, and incident response to AI-powered agents called Droids. The platform integrates seamlessly into existing tools such as IDEs, terminals, and collaboration apps. Developers can continue using their preferred environments like VS Code, JetBrains, or command line interfaces. Factory.ai works across the entire development lifecycle, from coding to CI/CD pipelines. It is built with enterprise-grade security to protect data and intellectual property. Overall, Factory.ai enhances productivity by enabling AI agents to work alongside developers without disrupting workflows.Starting Price: $80 per month -
22
Doctor Droid
Doctor Droid
Doctor Droid is an AI-driven platform designed to revolutionize monitoring and troubleshooting for engineering teams. It automates complex investigations, following standard operating procedures to analyze data across multiple integrations, identify root causes, and execute standard runbooks for self-healing. By proactively listening for alerts, Doctor Droid prepares relevant data and insights, reducing on-call time by up to 80% and enabling engineers to respond swiftly. It facilitates rapid onboarding of new engineers by automating the search for documents, learning new tools, and understanding data, allowing them to become primary on-calls from day one. With the capability to perform ad-hoc investigations, such as analyzing Kubernetes clusters or checking recent deployments, Doctor Droid adapts and creates new plans based on suggestions and existing documents. It integrates seamlessly with over 40 tools across the stack.Starting Price: $99 per month -
23
Surfer H
H Company
Surfer H from H Company is an autonomous web-agent platform built to understand and navigate user interfaces like a human by combining three modular models; a policy model that plans tasks, a localizer model that identifies UI elements visually, and a validator model that checks outcomes. The agent works purely through the browser interface with no special API hooks, enabling it to scroll, click, type, and complete real-web tasks such as booking hotels, comparing product deals, or extracting structured information. When paired with H Company’s open-weight vision-language models, Surfer H achieved state-of-the-art performance on the WebVoyager benchmark (92.2% accuracy at around $0.13 per task) and supports deployment locally, via Docker, or on cloud infrastructure. Use cases span web automation, QA testing without brittle scripts, data harvesting, and intelligent workflow agents that interact with the web directly as a human would.Starting Price: $0.13 per task -
24
NEO
NEO
NEO is an autonomous machine learning engineer: a multi-agent system that automates the entire ML workflow so that teams can delegate data engineering, model development, evaluation, deployment, and monitoring to an intelligent pipeline without losing visibility or control. It layers advanced multi-step reasoning, memory orchestration, and adaptive inference to tackle complex problems end-to-end, validating and cleaning data, selecting and training models, handling edge-case failures, comparing candidate behaviors, and managing deployments, with human-in-the-loop breakpoints and configurable enablement controls. NEO continuously learns from outcomes, maintains context across experiments, and provides real-time status on readiness, performance, and issues, effectively creating a self-driving ML engineering stack that surfaces insights, resolves standard settlement-style friction (e.g., conflicting configurations or stale artifacts), and frees engineers from repetitive grunt work.
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