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LangChain

LangChain

Framework for building LLM apps and agents

FreeAI AgentsFrameworkOpen Source2 impressions

LangChain enables every company to own their intelligence. Control, govern, and compound intelligence with an open agent engineering platform.

LangChain is an open platform for building, testing, deploying, monitoring, and governing LLM agents.

for
Developers and teams building AI agents and LLM-powered applications.
pricing
freemium · free trial
license
MIT
langchain-ai/langchain 147k 25kPythonupdated 2 days ago

Key features

6 features of LangChain
  • Build agents fast — Start with proven patterns, customize harness, context, memory and model choice.
  • Trace-based testing — Debug runs with step-by-step tracing and query complex traces instantly.
  • Managed deployments — Deploy long-running agents with serverless or dedicated sandboxes and 30+ endpoints.
  • Production monitoring — Online evals, dashboards and alerts track quality, cost, latency and errors.
  • Feedback loop engine — Automatically detect issues, diagnose root causes and feed fixes back into evals.
  • Governance controls — Enforce cost limits, data redaction and human approval via LLM Gateway.

Use cases

  • Automating customer support with an AI assistant.
  • Generating daily operational reports via scheduled agents.
  • Orchestrating multi-step workflows across internal tools.
  • Monitoring and auto-remediating production AI services.

LangChain pricing

  • Developer$0/seat per month1 seat · 5k base traces/mo · Community support
  • Plus$39/seat per monthUnlimited seats · 10k base traces/mo · Deployment, Engine, more

LangChain vs alternatives

LangChainCrewAILlamaIndexMastra
Best forEnd-to-end agent engineering platformMulti-agent system frameworkLLM apps over dataTypeScript AI agents
PricingFreemiumSubscriptionFreeFree
DevHunt upvotes0000
Launched————
  • LangChain vs CrewAI: CrewAI focuses on multi-agent coordination, while LangChain provides a full lifecycle platform.
  • LangChain vs LlamaIndex: LlamaIndex is centered on data-grounded retrieval, whereas LangChain covers end-to-end agent engineering.
  • LangChain vs Mastra: Mastra is a TypeScript-only framework; LangChain supports multiple languages and broader deployment features.

LangChain FAQ

What is a seat?+

A seat is a distinct user in your organization; you are billed per seat.

Does LangSmith use my data to train models?+

No, your traces, prompts and outputs remain private to your organization.

Can I upgrade from Developer to Plus?+

Yes, you can upgrade on the Plans and Billing page; Enterprise requires contacting sales.

What are LCUs and LSUs?+

LCU (LangChain Compute Unit) = $1.50 for compute work; LSU (LangChain Storage Unit) = $1.00 for stored data.

What does the Engine component do?+

Engine runs every 6 hours, analyses traces, identifies issues and suggests fixes, billed per LCU.

How does the LLM Gateway help with governance?+

It enforces cost limits, rate limits, model fallbacks and redacts PII before calls to providers.

Summarized by DevHunt from langchain.com · Oct 1, 2026. Details may change; check the official site.

About this listing

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