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About

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.

About

LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.

Platforms Supported

Windows Not Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers wanting a solution to create and deploy advanced AI agents capable of interacting with graphical user interfaces across various environments

Audience

Developers searching for a framework for developing applications powered by language models

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • As an AI developer, I’ve worked with a wide range of frameworks and libraries, but LangChain has truly impressed me. It’s an incredibly powerful tool for building language models, providing an extensive set of functionalities that allow me to seamlessly integrate different components into my projects. One of the standout features of LangChain is its ease of use and flexibility. Whether you’re working on text generation, document search, or chain-based workflows, the framework’s modularity lets you combine various tools with minimal effort. The pros of LangChain are clear. First, its integration with numerous external APIs and services is top-notch, allowing me to connect language models with external data sources or even automate workflows. The documentation is well-organized and easy to follow, even for newcomers, and the active community provides plenty of resources for troubleshooting and learning. Additionally, LangChain's support for advanced use cases like memory management, multi-step chains, and prompt customization is invaluable for developing sophisticated AI applications.

Cons

  • The learning curve is steep, but once you get the hang of it, the framework becomes significantly more intuitive. Also, while LangChain offers a lot of versatility, it sometimes requires more fine-tuning to get optimal performance with specific models or use cases.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

AgentSea
United States
www.agentsea.ai/

Company Information

LangChain
Founded: 2022
United States
www.langchain.com

Alternatives

Alternatives

LM-Kit.NET

LM-Kit.NET

LM-Kit
LangGraph

LangGraph

LangChain
Surf.new

Surf.new

Steel.dev
LangSmith

LangSmith

LangChain

Categories

Agentic AI Supported
AI Agent Builders Supported

Categories

Integrations

Playwright Supported
Python Supported
AQtive Guard Not Supported
Adopt AI Not Supported
Agenta Not Supported
Amazon Web Services (AWS) Supported
Cake AI Not Supported
Claude Haiku 5.5 Supported
DeepSeek R1 Not Supported
Dial Not Supported
Kodosumi Not Supported
LangChain Supported
LangSmith Not Supported
LlamaIndex Supported
Muse Spark 1.2 Not Supported
Netra Not Supported
Oxylabs Not Supported
TheDevStarter Not Supported
Unity Catalog Not Supported
Zyte Not Supported

Integrations

Playwright Supported
Python Supported
AQtive Guard Supported
Adopt AI Supported
Agenta Supported
Amazon Web Services (AWS) Not Supported
Cake AI Supported
Claude Haiku 5.5 Not Supported
DeepSeek R1 Supported
Dial Supported
Kodosumi Supported
LangChain Not Supported
LangSmith Supported
LlamaIndex Not Supported
Muse Spark 1.2 Supported
Netra Supported
Oxylabs Supported
TheDevStarter Supported
Unity Catalog Supported
Zyte Supported
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