LangChain

Most popular framework for building LLM applications

Agents & Automation Open Source Has API Open Source
Researched · Published · Reviewed
RECATOOLS Score
8.1 / 10
Capability
9
Value for money
8
Ease of use
6
ASEAN readiness
6
API quality
8
Founded
2022
HQ
San Francisco, California, USA
Users
1m+ developers
Launched
Oct 2022
Developer
Harrison Chase

Overview

The framework that defined LLM application development — chains, agents, RAG, tool calling — in Python and JS. Since the October 2025 1.0 release, agents run on the LangGraph runtime; the core stays MIT-licensed, with commercial LangSmith observability and deployment on top.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Developer
$0/seat/mo
LangSmith free for solo builders
  • 1 seat
  • 5k base traces/mo included
  • Pay-as-you-go beyond quota
  • Community support
Enterprise
Custom
Self-hosted or hybrid with SLAs
  • Self-hosted / hybrid options
  • Custom SSO and RBAC
  • Support SLA
  • Architectural guidance

Use cases

LLM app development RAG pipelines Agent orchestration
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ASEAN Perspective

LangChain in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

Still the default starting point for LLM apps, and meaningfully more stable since LangChain 1.0 and LangGraph 1.0 shipped in October 2025 — agents now run on LangGraph's durable runtime, and the team has promised no breaking changes before 2.0. The integration catalogue is unmatched, Python and JavaScript are both first-class, and LangSmith adds tracing, evals and deployment when you outgrow print statements. The over-abstraction critique still applies to the classic chain layers, and plenty of production teams eventually drop to raw SDKs or keep only LangGraph. Free and MIT-licensed with no regional restrictions; LangSmith's per-seat and per-trace pricing is where the bill eventually arrives.

Independent AI-assisted assessment by RECATOOLS.

What people say

Ask five production teams about LangChain and you'll get five different answers — which is itself the story. With 141,000 GitHub stars it remains the most-adopted way to start building LLM applications, and the October 22, 2025 release of LangChain 1.0 and LangGraph 1.0 answered the loudest historical complaint: version churn. The 1.0 line committed to no breaking changes before 2.0, rebuilt agents around a single create_agent abstraction, and made LangGraph — the lower-level durable runtime with built-in persistence, interrupts and human-in-the-loop control — the foundation everything runs on.

The old criticism hasn't vanished; it's moved. Developers still describe the classic chain abstractions as more trouble than they're worth once requirements get specific, and a visible cohort of teams has rewritten straight to provider SDKs. The same crowd generally treats LangGraph more kindly, because it solves real problems — state, resumability, long-running workflows — rather than wrapping API calls in ceremony.

The money side is LangSmith, the observability and deployment platform. A free Developer tier includes 5k traces a month; Plus runs $39 per seat monthly with 10k base traces, then $2.50 per 1,000 extended traces. Tooling comparisons regularly point out that costs climb faster than open-source rivals like Langfuse at scale, and the seat fee lands before you log a single trace. The framework itself stays MIT-licensed and free.

Verdict from the trenches: unbeatable integration breadth and the fastest path from idea to working prototype. Whether it survives into production depends on whether LangGraph's runtime earns a place in your stack — plenty of teams decided the older abstractions didn't.

Summary of public user & expert reviews, compiled by RECATOOLS.

Notable facts

  • LangChain reached 50,000 GitHub stars within 3 months of release, making it one of the fastest-growing developer frameworks in history.
  • Harrison Chase built the first version of LangChain in a weekend as an experiment and open-sourced it without expecting widespread adoption.
  • LangChain's npm package is downloaded over 1 million times per week, making it one of the most-used AI libraries in the JavaScript ecosystem.

Frequently asked questions

Is LangChain free?
Yes. The core LangChain framework is open source and free. LangSmith cloud observability has a paid tier.
What is LangChain used for?
Building RAG pipelines, AI agents, chatbots, and any LLM-powered application that needs composable building blocks.
What is LangGraph?
LangGraph is a LangChain extension for building stateful, multi-step agent workflows with explicit graph-based control flow.
Does LangChain work with Claude?
Yes. LangChain supports Anthropic Claude, OpenAI, Mistral, Cohere, Gemini, and dozens of other LLM providers.
What programming languages does LangChain support?
Python (primary) and JavaScript/TypeScript via LangChain.js.

About this listing

Researched on
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Last reviewed

This entry was compiled from publicly available data including LangChain's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with LangChain unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to LangChain directly →

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