LangChain

Build agentic LLM apps with a modular Python framework

LangChain is an open-source framework for building agents and LLM-powered applications. It helps developers connect models, tools, and external systems into multi-step workflows.

Open Source

API

Chrome Extension

Integrations

B2B

For Developers

For Teams

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Recent activity

What's happened with LangChain lately

May 22, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 8/32 → 9/368 → 9/36(+1)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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About

What It Is

LangChain is an open-source Python framework for building agents and LLM-powered applications. It is aimed primarily at developers and teams that want to assemble model calls, tools, retrieval, and integrations into custom workflows rather than use a finished end-user app.

What to Know

LangChain is strongest when you need flexibility and a large integration surface. It is useful for prototyping and production development, but it is not a turnkey autonomous agent product; you still need to design the workflow, choose models, and...

Key Features

Python framework for building agents and LLM applications

Interoperable interfaces for models, embeddings, vector stores, and retrievers

Third-party integrations for data sources, tools, and model providers

Modular component-based architecture for composing workflows

Works with LangGraph for more controllable agent orchestration

Use Cases

Building custom AI agents that call tools and external systems

Prototyping LLM applications before hardening them for production

Connecting language models to retrieval and data-augmentation workflows

Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence

Last evaluated: May 22, 2026

Dimension Breakdown

Action Capability

Autonomy

Adaptation

State & Memory

Safety

How agenticness works →

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Agenticness10/36·Guided Assistant

Agent Frameworks & Orchestration

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Open Source

API

Memory

Google ADK

Agenticness17/36·Adaptive Collaborator

Agent Frameworks & Orchestration

Agent Development Kit (ADK) is a framework for developers building AI agents and multi-agent workflows. It supports Python, TypeScript, Go, and Java, and is designed to run across different models and deployment setups.

API

Integrations

Multi-Agent

Transformers Agents

Agenticness8/36·Guided Assistant

Agent Frameworks & Orchestration

Documentation for the Xet content-addressed storage protocol and its reference implementations. It is aimed at developers building clients or tools that upload and download data from Hugging Face Hub using Xet.

MetaGPT

Agenticness12/36·Guided Assistant

Multi-Agent Orchestration

MetaGPT assigns different roles to LLMs to simulate a software team. It can turn a short requirement into artifacts like user stories, requirements, APIs, and code repositories.

Chrome Extension

Code Execution

File Access

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