AgentSea
AgentSea is an open-source platform that enables users to build, deploy, and share advanced AI agents with a collection of UNIX-like tools and libraries for local or cloud deployment.
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Product Information
Updated:Sep 9, 2025
What is AgentSea
AgentSea is a comprehensive platform for developing and managing AI agents, featuring a collection of libraries and tools built on the UNIX philosophy of 'do one thing and do it well.' Currently in open beta, it provides developers with the infrastructure to create, deploy and share AI agent applications. The platform's core component is Surfkit, which functions similar to Kubernetes for agents, allowing deployment across local processes, Docker containers, or cloud environments like GCP and Amazon.
Key Features of AgentSea
AgentSea is an open-source platform that provides a comprehensive suite of tools for building, deploying, and managing AI agents. It combines a private chat interface for accessing various AI models (like OpenAI, Claude, Gemini) with powerful development tools including SurfKit (Kubernetes-like orchestrator), DeviceBay, ToolFuse, AgentD, and AgentDesk. The platform enables programmatic control of desktop environments, supports multimodal agents, and offers both local and cloud deployment options.
Unified AI Model Access: Single interface to access thousands of AI models including OpenAI, Claude, Gemini, Grok, and DeepSeek with persistent memory and context
Desktop Environment Control: AgentDesk and AgentD components provide programmatic control of desktop environments for AI agents through HTTP API
Flexible Deployment Options: SurfKit allows deployment of agents locally, in Docker containers, or cloud platforms like GCP/Amazon
Comprehensive Development Tools: Collection of UNIX-like tools including ToolFuse, ThreadMem, and MLLM for building and managing AI agent applications
Use Cases of AgentSea
Enterprise Automation: Organizations can build and deploy AI agents to automate desktop operations and workflows across their infrastructure
AI Research and Development: Researchers and developers can build, test, and deploy experimental AI agents in controlled environments
Multi-Model AI Integration: Businesses can integrate multiple AI models into their applications through a single unified interface
Pros
Open-source and flexible architecture
Comprehensive toolkit for AI agent development
Supports multiple deployment options
No credit card required to start
Cons
Complex system with multiple components to learn
Limited language support (English only)
Still in development with some alpha-stage components
How to Use AgentSea
Install AgentSea: Install AgentSea by following the quick install tutorial. You can use pip: 'pip install surfkit'
Set up the environment: If using Docker Desktop on MacOS, go to Settings > Advanced and enable 'Allow the default Docker socket to be used'. Save settings and restart
Create a desktop environment: Choose between Docker (fastest) or cloud options (AWS/GCP) to create an Ubuntu desktop environment for your agent to use
Initialize Desktop: Use the code: 'from agentdesk import Desktop; desktop = Desktop.docker(); desktop.view(background=True)' to create and launch the desktop container
Configure your agent: Clone desired agent repository (e.g., 'git clone [email protected]:agentsea/robbie-g2.git') and set up the agent configurations
Connect to devices: Use DeviceBay to connect your agent to necessary tools like virtual desktop, Playwright browser, or file system
Start interacting: Begin interacting with your agent through the desktop interface. You can use commands like desktop.open_url(), desktop.move_mouse(), desktop.click(), etc.
Monitor and manage: Use ThreadMem library to keep track of all messages and dialogues with your agents, and Taskara for task management
AgentSea FAQs
AgentSea is a platform that serves two main functions: 1) A private AI chat interface for accessing the latest AI models, and 2) An open source platform for building, deploying, and sharing AI agents with tools similar to UNIX systems.
AgentSea Video
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