LangChain
LangChain provides LangSmith, an agent engineering platform, and open source frameworks (LangChain, LangGraph, deepagents) to help developers observe, evaluate, and deploy AI agents in production.
At a Glance
About LangChain
LangChain builds the agent engineering platform and open source frameworks developers need to ship reliable AI agents faster. LangSmith, the commercial platform, covers the full agent development lifecycle — from tracing and debugging to evaluation, deployment, and no-code agent building. The open source ecosystem includes LangChain for quick-start agents, LangGraph for production-grade agents with low-level control, and deepagents for long-running autonomous tasks.
- LangSmith Observability — Trace every agent execution with a structured timeline of steps; supports native tracing for popular frameworks and OpenTelemetry, plus SDKs for Python, TypeScript, Go, and Java.
- LangSmith Evaluation — Capture production traces, convert them into test cases, and score agents using LLM-as-judge, multi-turn evals, human feedback annotations, and online/offline scoring.
- LangSmith Deployment — Ship agents with built-in memory, conversational threads, durable checkpointing, human-in-the-loop support, type-safe streaming, and native A2A & MCP protocol support.
- LangSmith Fleet — Build no-code agents for daily tasks using plain language; supports prebuilt templates, remote MCP server tools, bring-your-own models, and integrated LangSmith tracing.
- LangGraph — Open source framework for building reliable, production-grade agents with fine-grained control over state, branching logic, and multi-agent orchestration.
- LangChain (framework) — Open source batteries-included framework for quickly building agents with any model provider using templates and integrations.
- deepagents — Open source framework for highly autonomous, long-running agents capable of planning, using subagents, and leveraging file systems for complex tasks.
- Prompt Hub & Playground — Manage, test, and auto-improve prompts; Canvas provides an interface for iterative prompt refinement.
- Annotation Queues — Collect structured human feedback on agent outputs to calibrate automated evaluators and improve model quality.
- Enterprise Hosting Options — Choose cloud, hybrid (SaaS control plane + self-hosted data plane), or fully self-hosted deployments to keep data within your VPC.
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Pricing
Developer
For solo users getting started with LangSmith.
- Up to 5k base traces / mo, then pay-as-you-go
- Tracing to debug agent execution
- Online and offline evals
- Prompt Hub, Playground, and Canvas for auto improving prompts
- Annotation queues for human feedback
Plus
For teams building and deploying agents.
- Everything in the Developer plan
- Up to 10k base traces / mo, then pay-as-you-go
- 1 dev-sized agent deployment included
- Email support
- Unlimited Fleet agents
- Up to 500 Fleet runs / mo, then pay-as-you-go
- Add unlimited seats
- Up to 3 workspaces
Enterprise
For teams with advanced hosting, security, and support needs.
- Everything in the Plus plan
- Alternative hosting options including hybrid and self-hosted
- Custom SSO and RBAC
- Access to deployed engineering team
- Support SLA
- Team trainings & architectural guidance
- Custom seats and workspaces
- Custom Fleet packages
Capabilities
Key Features
- Agent tracing and observability
- LLM-as-judge and multi-turn evaluations
- Human feedback annotation queues
- Online and offline scoring
- 1-click agent deployment
- Human-in-the-loop support
- Type-safe streaming of messages and events
- Durable checkpointing and memory
- Fleet no-code agent builder
- Prompt Hub and Playground
- LangGraph open source framework
- LangChain open source framework
- deepagents for long-running tasks
- Native A2A and MCP protocol support
- Cron scheduling for agents
- Custom SSO and RBAC (Enterprise)
- Hybrid and self-hosted deployment options
- AI-driven insights across traces
- Dataset collection and management
- Bulk data export
