AgentSea
AgentSea is an open-source platform designed for developers and engineers to build, run, and deploy AI agents in a flexible and scalable manner. Its modular architecture consists of specialized tools like SurfKit, ToolFuse, and AgentD, enabling users to execute complex tasks with ease and efficiency. The platform stands out with its focus on interoperability, allowing seamless integration with other tools while adhering to the UNIX philosophy of doing one thing well. With robust capabilities for managing agents across various environments, AgentSea streamlines the agent creation process and empowers users to innovate freely.
Basic Capabilities :
Scheduling, Multi-channel Publishing, Task Management, Integration, Community Support
Basic Capabilities :
Scheduling, Multi-channel Publishing, Task Management, Integration, Community Support
GOOD FOR
PERSONAL: Individual developers, hobbyists, and students interested in building and deploying AI agents for personal projects, experiments, or learning purposes. They benefit from a rich resource pool without financial barriers, allowing for freedom in innovation.
BUSINESS: Teams of engineers, product managers, and IT specialists in organizations aiming to automate processes and enhance productivity through AI-driven agents. The platform's modular design fosters streamlined workflows and innovative solutions to complex business challenges.
BUSINESS: Teams of engineers, product managers, and IT specialists in organizations aiming to automate processes and enhance productivity through AI-driven agents. The platform's modular design fosters streamlined workflows and innovative solutions to complex business challenges.
FEATURES
SURFKIT: A Kubernetes-style orchestrator that allows users to build and run agents locally, in containers, or in the cloud, making task automation simple and effective.
TOOLFUSE: A comprehensive library for creating LLM-based tools, enabling agents to perform actions such as data fetching, desktop operations, and file manipulations.
AGENTD: A powerful daemon that exposes a desktop environment to AI agents, facilitating seamless interaction through HTTP API, enabling automation of GUI tasks.
AGENTDESK: This library supports running AgentD-powered VMs, giving agents dynamic control over their operating environment in both cloud and local settings.
DEVICEBAY: Enables agents to engage with pluggable instances, including file systems and browsers, providing them the capability to interact with varied data sources.
THREADMEM: A library for managing multi-role persistent threads that enhance communication between agents and their LLMs, enabling comprehensive task handling.
MLLM: A focused library for interacting with Multimodal Large Language Models, providing a structured approach to utilize diverse inputs and contexts.
TASKARA: An integrated task management system that allows agents to organize and execute tasks seamlessly, enhancing performance and productivity.
OPEN-SOURCE LICENSE: All tools are available under the MIT license, promoting flexibility for developers to use, modify, and integrate the software freely.
COMMUNITY SUPPORT: A dedicated community on Discord offers assistance for users, fostering collaboration and knowledge sharing among agent builders.
EASY INSTALLATION: Quick tutorials and guides facilitate rapid setup and configuration, allowing users to get started with their agents without extensive hurdles.
FLEXIBLE INTEGRATION: Capable of functioning with other Python tools such as LangChain and LlamaIndex, promoting user choice and adaptability in workflows.
TOOLFUSE: A comprehensive library for creating LLM-based tools, enabling agents to perform actions such as data fetching, desktop operations, and file manipulations.
AGENTD: A powerful daemon that exposes a desktop environment to AI agents, facilitating seamless interaction through HTTP API, enabling automation of GUI tasks.
AGENTDESK: This library supports running AgentD-powered VMs, giving agents dynamic control over their operating environment in both cloud and local settings.
DEVICEBAY: Enables agents to engage with pluggable instances, including file systems and browsers, providing them the capability to interact with varied data sources.
THREADMEM: A library for managing multi-role persistent threads that enhance communication between agents and their LLMs, enabling comprehensive task handling.
MLLM: A focused library for interacting with Multimodal Large Language Models, providing a structured approach to utilize diverse inputs and contexts.
TASKARA: An integrated task management system that allows agents to organize and execute tasks seamlessly, enhancing performance and productivity.
OPEN-SOURCE LICENSE: All tools are available under the MIT license, promoting flexibility for developers to use, modify, and integrate the software freely.
COMMUNITY SUPPORT: A dedicated community on Discord offers assistance for users, fostering collaboration and knowledge sharing among agent builders.
EASY INSTALLATION: Quick tutorials and guides facilitate rapid setup and configuration, allowing users to get started with their agents without extensive hurdles.
FLEXIBLE INTEGRATION: Capable of functioning with other Python tools such as LangChain and LlamaIndex, promoting user choice and adaptability in workflows.
PRICING
FREE: Users can access all tools and features without any cost, allowing unlimited experimentation and use in various applications under the MIT license.
INDIVIDUAL: This tier provides advanced features including priority support and access to premium libraries for personal projects at a low monthly fee.
BUSINESS: For teams, a subscription model is available with per-user pricing, which includes administrative controls, support, and enhanced integrations suitable for business environments.
ENTERPRISE: Customized plans offer advanced security, compliance, and governance features, ensuring robust support for organizations with complex needs and large-scale operations.
INDIVIDUAL: This tier provides advanced features including priority support and access to premium libraries for personal projects at a low monthly fee.
BUSINESS: For teams, a subscription model is available with per-user pricing, which includes administrative controls, support, and enhanced integrations suitable for business environments.
ENTERPRISE: Customized plans offer advanced security, compliance, and governance features, ensuring robust support for organizations with complex needs and large-scale operations.
TECHSTACK
MODEL – Utilizes a variety of AI models that can be swapped for different performance needs, maintaining operational flexibility and innovation.
RUNTIME – Built to run in diverse environments, including local machines, Docker containers, and cloud platforms such as GCP and AWS.
DATA – Integrates with multiple data sources, allowing agents to seamlessly interact with structured and unstructured information across devices.
INTEGRATIONS – Ensures compatibility with other Python tools, enabling users to leverage existing libraries and frameworks in their agent development workflows.
API – Provides a robust HTTP API enabling easy integration of desktop interactions, facilitating automation of GUI-based applications.
RUNTIME – Built to run in diverse environments, including local machines, Docker containers, and cloud platforms such as GCP and AWS.
DATA – Integrates with multiple data sources, allowing agents to seamlessly interact with structured and unstructured information across devices.
INTEGRATIONS – Ensures compatibility with other Python tools, enabling users to leverage existing libraries and frameworks in their agent development workflows.
API – Provides a robust HTTP API enabling easy integration of desktop interactions, facilitating automation of GUI-based applications.
last update : October 30, 2025
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