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About

Flue is an open agent framework for building durable AI agents with a programmable TypeScript harness. Created by the team behind Astro, it uses a React-like hooks API to compose agent behavior, persistent state, lifecycle events, models, tools, sandboxes, subagents, skills, and MCP servers in code. Agents are stateful and addressable over HTTP, keep context across conversations and events, and can change capabilities as work progresses. Flue records every session in a durable stream, so accepted work survives crashes, restarts, and deploys; interrupted sessions resume automatically and clients reconnect without starting over. Developers can run agents locally, in CI, from their own backend, or orchestrate them with systems such as Cloudflare Workflows and Inngest. Secure sandboxes let agents run commands, edit files, and do real work, while tools connect them to APIs and data. Flue is powered by Pi and supports different LLM providers, allowing teams to choose the models they want.

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 Not Supported
Linux Not Supported
Cloud 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 and AI engineering teams requiring a tool to build durable, stateful agents that can use tools, maintain context, and run across different models and deployment 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

No information available.
Free Version Not 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:

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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 Not Supported
In Person Not Supported

Training

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

Company Information

Flue
Founded: 2026
United States
flueframework.com

Company Information

LangChain
Founded: 2022
United States
www.langchain.com

Alternatives

Alternatives

LM-Kit.NET

LM-Kit.NET

LM-Kit
eve

eve

Vercel
StateFabric

StateFabric

J Gregory Technology Ltd.
LangSmith

LangSmith

LangChain

Categories

Agentic AI Supported

Categories

Integrations

E2B Supported
Model Context Protocol (MCP) Supported
Bruinen Not Supported
Cloro Not Supported
Database Mart Not Supported
Dendrite Not Supported
EarlyCore Not Supported
FalkorDB Not Supported
LangSmith Not Supported
ManyPI Not Supported
OpenMail Not Supported
Prompt Security Not Supported
Proxycurl Not Supported
Render Supported
Simaril Not Supported
Switch AI Not Supported
Unity Catalog Not Supported
ZenML Not Supported
ZeusDB Not Supported
mantle AI Not Supported

Integrations

E2B Supported
Model Context Protocol (MCP) Supported
Bruinen Supported
Cloro Supported
Database Mart Supported
Dendrite Supported
EarlyCore Supported
FalkorDB Supported
LangSmith Supported
ManyPI Supported
OpenMail Supported
Prompt Security Supported
Proxycurl Supported
Render Not Supported
Simaril Supported
Switch AI Supported
Unity Catalog Supported
ZenML Supported
ZeusDB Supported
mantle AI Supported
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