framework

LangChain

by LangChain AI

LangChain is a popular open-source framework for building LLM-powered applications and agents, providing abstractions for chaining model calls, managing memory, integrating tools, and orchestrating multi-step workflows. It supports both Python and JavaScript and offers a large ecosystem of integrations with models, vector stores, and external APIs. While once dominant in the agent framework space, it has faced criticism for heavy abstraction overhead, cost inflation, and design choices optimized for weaker 2022-era models that limit flexibility with more capable modern LLMs.

6 Overall Score

Scores

Capability
8
Ease of Use
5
Documentation
7
Reliability
6
Value
8
Momentum
6

Details

Status
active
Pricing
open-source
Launch Date
2022-10
Last Updated
2026-03-15

Key Features

  • Extensive integrations with 100+ LLM providers, vector stores, and tools
  • LangGraph for stateful multi-agent and cyclic workflow orchestration
  • LangSmith for tracing, evaluation, and observability
  • Retrieval-Augmented Generation (RAG) pipeline support
  • LCEL (LangChain Expression Language) for composable chain definitions

Tech Stack

PythonJavaScriptTypeScriptLangSmith (observability)LangGraphPostgreSQLRedis