Last updated: 2026-08-19
LangChain combines a free, open-source agent framework (1000+ model, tool, and vector-database integrations) with LangSmith, its commercial platform for observability, evaluation, and deployment. Built for Python and TypeScript developers, it traces and productionizes stateful, long-running AI agents rather than simple one-shot prompts.
About LangChain
LangChain launched in 2022 as an open-source framework for chaining LLM calls, prompts, and tools into working agent applications. The company has raised $260M in total funding across seed, Series A, and Series B rounds, most recently a $125M raise in October 2025, and it now ships two products: the free LangChain and LangGraph framework for building agents, and LangSmith, the commercial platform for observing, testing, and deploying those agents in production.
The lineup also includes DeepAgents for autonomous long-running tasks and Fleet, a no-code agent builder aimed at business teams. Companies including Klarna, Rippling, Cloudflare, and ServiceNow run production agents built on LangChain, with LangSmith providing the observability layer for debugging multi-step, stateful workloads.
Pricing
LangChain framework is free (MIT open-source). 50 per 1K. Enterprise plan custom pricing for self-hosting, BAA, and advanced features.
| Tier | Monthly price | What it includes |
|---|---|---|
| LangChain Framework (Open Source) | Free | No direct token billing. |
| LangSmith Developer (Free) | Free | Free tier: 5,000 base traces/month included, 1 seat, 1 workspace, 14-day retention |
| LangSmith Enterprise | Free | Custom pricing. |
| LangSmith Plus | $39/mo | $39/user/month per seat. 10,000 base traces free. 50 per 1,000 traces. 50 per 1,000 traces. 1 free dev-sized deployment included. |
Key Features
- Multi-Framework Agent Tracing: Native tracing for popular agent frameworks and OpenTelemetry support with Python, TypeScript, Go, and Java SDKs for cross-language observability
- Evaluation & Testing Framework: Reusable LLM-as-judge evals, multi-turn conversation evaluation, human feedback calibration, and both online/offline scoring capabilities
- Production Deployment Infrastructure: Managed deployment platform supporting human-in-the-loop interactions, async collaboration, background agents, and fault-tolerant distributed runtime
- No-Code Agent Builder (Fleet): Visual agent creation tool with built-in and remote MCP tools, user feedback integration, autonomous execution, and enterprise security controls
- 1000+ Model & Tool Integrations: Pre-built integrations for OpenAI, Anthropic, Google, Hugging Face, and extensive ecosystem of vector databases, APIs, and data sources
- Durable Agent Runtime: Stateful execution with persistence, checkpointing, rewind capabilities, human-in-the-loop interrupts, and full conversation memory management
Pros
- Open-source framework (MIT licensed) with an active community and 1B+ monthly downloads.
- One platform spans development (LangChain, LangGraph) and production observability (LangSmith), so teams don't stitch together separate tools.
- Enterprise adoption is proven: 35% of Fortune 500 companies and 6K+ active LangSmith customers use it.
- Works for both quick prototypes with high-level templates and complex workflows needing low-level control.
- Evaluation tooling is deep enough that teams cite it as a reason to pick LangSmith over building their own evaluation pipeline.
Cons
- LangSmith's per-seat pricing combines with usage-based trace costs, so bills can escalate quickly as team size and trace volume grow.
- Multi-agent, stateful workflow patterns have a steep learning curve compared to simple single-prompt scripts.
- Production deployment features are tied to LangSmith, creating vendor dependency for teams that want to avoid enterprise contracts.
- Self-hosting LangSmith is Enterprise-only and requires meaningful infrastructure to run, unlike the free open-source framework.
Data Handling
- Compliance
- SOC 2 Type II · HIPAA compliant · GDPR compliant
Frequently Asked Questions
What does LangChain actually cost?
LangChain's open-source framework is completely free forever. LangSmith, the paid observability platform, offers a free tier plus a Plus plan at $39 per seat per month including 10K base traces, with additional traces billed at $0.50 per 1K and extended feedback-enabled traces at $4.50 per 1K. Enterprise pricing is custom and covers self-hosting and BAA support.
What do you get on LangChain's free tier?
The core framework in full, MIT-licensed with no usage caps, so the only bill is your chosen LLM provider's tokens. LangSmith's free Developer tier adds 5,000 traces a month on one seat and one workspace with 14-day retention, which covers solo projects but not production-scale tracing.
Which tools compete with LangChain in 2026?
LlamaIndex centers on document parsing and agentic OCR rather than general agent orchestration. n8n suits teams that would rather drag together a visual automation flow than write a Python or TypeScript framework, and it ships a free self-hosted Community Edition. CrewAI is lighter, giving role-based multi-agent orchestration without LangChain's full observability stack.
What separates LangChain from LlamaIndex?
LangChain is a general-purpose framework for chaining LLMs, tools, and agents, with LangSmith adding managed tracing and evaluation on top. LlamaIndex specializes in document ingestion and agentic OCR, marketed as the most accurate option for parsing unstructured PDFs and scanned files. Both have free open-source cores, but LlamaIndex's paid LlamaParse is credit-based from about $1 per 1K pages while LangSmith charges per seat with usage-based trace overage. General agent orchestration and observability is one problem; document-extraction accuracy is another.
How do you set up LangChain?
Install the framework with pip install langchain (Python) or npm install langchain (TypeScript/JavaScript), then set an API key for your chosen model provider such as OpenAI or Anthropic. LangChain Academy offers free structured courses for building your first agent, and the official quickstart docs walk through a working chain in under 30 minutes. Sign up for a free LangSmith account separately to add tracing once your agent is running.
Top Alternatives
- LlamaIndex: LangChain covers general-purpose agent orchestration and production tracing; LlamaIndex is the one to reach for when document parsing and OCR accuracy is the bottleneck.
- n8n: LangChain suits teams coding in Python or TypeScript who want deep agent observability, while n8n offers a no-code visual builder with a free self-hosted Community Edition.
HokAI guides covering LangChain
- Best AI Orchestration Tools in 2026: How to Actually Choose: n8n self-hosts free with 2,067 integrations; Zapier bills by task but lists 9,976 apps. Nine AI orchestration tools sorted into the three tiers that matter.
- Oracle Added Claude Code to Fusion. Its Analyst Ranking Didn't Move.: Oracle's July 2026 update lets developers build Fusion agents with Claude Code, but Futurum's June report still ranks Oracle in its lowest platform tier.
- What AgentPhone Is Actually For: AgentPhone gives AI agents a phone number fast, but its pricing is unpublished and reach is US and Canada only. Here is who it fits, and who should skip it.
- Best AI Search & Retrieval Infrastructure Tools in 2026: AI search and retrieval infrastructure is four purchases, not one: web search, document parsing, vector storage, and agent memory. Compare eight tools by layer.
- Context.dev vs You.com: Which Should You Use in 2026?: Both now sell web search and page extraction in 2026. Context.dev bundles brand data for $25/month; You.com alone has a published search-accuracy benchmark.
- The AI Tool Ecosystem in 2026: Buy the Meter, Not the Category: Four meters set your AI infrastructure bill: tokens, machine seconds, vendor credits, seats. Modal, Replicate, E2B and Together AI priced August 2026.