Developer
Free
Monthly
- 5K traces/month
- 14-day retention
- 1 seat
- 1 workspace
- 1 agent with 50 runs
LangChain — Agent Frameworks Platform
Founded 2022|San Francisco, CA|51-200 people|Open Source
What is LangChain?
LangChain is the most widely adopted framework for building LLM-powered applications and AI agents, founded in 2022 by Harrison Chase. The company provides an open-source Python and TypeScript framework with abstractions for chains, agents, tools, memory, and retrieval that make it easy to compose complex AI systems.
LangGraph, its agent orchestration layer, enables building stateful, multi-actor workflows with human-in-the-loop capabilities. LangSmith provides tracing, evaluation, and monitoring for LLM applications in production. The LangChain ecosystem is the largest in the AI application development space, with the company reaching $16M in revenue and 1,000 customers by 2025.
Backed by $260M in total funding at a $1.25B valuation, LangChain has grown to 199 employees and is headquartered in San Francisco. The company serves as the de facto orchestration layer for teams building production AI applications.
Key features
Core capabilities this platform advertises.
- LangChain Expression Language (LCEL)
- LangGraph for stateful multi-agent workflows
- 1000+ integrations
- LangSmith observability companion
- Python and JavaScript SDKs
Strengths and tradeoffs
What this tool does well, and the limitations to keep in mind.
Pros
- Largest ecosystem and community in AI application development
- Comprehensive abstractions for chains, agents, tools, and memory
- LangSmith provides production-grade tracing and evaluation
- LangGraph enables complex stateful multi-actor agent workflows
- Extensive integrations with LLM providers, vector stores, and tools
Cons
- Steep learning curve for advanced configurations and LangGraph
- High total cost of ownership for complex deployments
- Rapid API changes can break existing implementations
- Trace pricing can escalate quickly at scale ($2.50-$5.00 per 1K traces)
Plans & pricing
What's included in each plan, and how the tiers compare.
Plus
$39/seat
Monthly
- 10K base traces/month
- Up to 10 seats
- 3 workspaces
- 1 free dev-sized deployment
Enterprise
Custom
Annual
- HIPAA BAA
- SOC 2 Type II
- Self-hosting options
- Custom trace limits
- Dedicated support
Common use cases
Developers building complex LLM applications who need a comprehensive orchestration framework
- Building RAG applications
- Multi-agent orchestration with LangGraph
- Tool-using conversational agents
- Document processing pipelines
- Complex chain-of-thought workflows
Using LangChain with Respan
Respan integrates with LangChain to provide deep observability into LLM chains and agent workflows. By monitoring LangChain traces alongside Respan evaluation metrics, teams can identify performance bottlenecks, track prompt effectiveness, and optimize agent behavior across production deployments.
- Monitor LangChain agent execution traces in real-time
- Evaluate LLM output quality across chain steps
- Track token usage and cost across LangChain workflows
- Compare prompt variations within LangChain pipelines
Best LangChain alternatives & competitors
Top companies in Agent Frameworks you can use instead of LangChain.
OpenClaw
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AutoGPT
Visual workflow builder with composable agent 'blocks'
LangGraph
Graph-based agent workflows with nodes, edges, and conditional routing
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OpenAI Agents SDK
Llama Stack
GripTape
CrewAI
Multi-agent role-based collaboration
AutoGen
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Google ADK
Vercel AI SDK
TypeScript-first AI SDK
Dify
Visual workflow builder for AI apps
DSPy
Semantic Kernel
Enterprise AI orchestration by Microsoft
Pydantic AI
Type-safe agent inputs, outputs, and tool calls via Python type hints
Instructor
Hermes Agent
Persistent memory across sessions in ~/.hermes/memories/
Agno
23+ LLM providers (OpenAI, Anthropic, Gemini, etc.) and 100+ tool integrations
Atomic Agents
Built on Instructor for structured outputs
Smolagents
21st.dev
Largest React component registry — shadcn/ui + Tailwind based
Terminal Use
Agent hosting & deployment
Mastra
TypeScript agent framework
Compare LangChain
Side-by-side comparisons with other tools in this category.
Best integrations for LangChain
Companies from adjacent layers in the AI stack that work well with LangChain.
Last verified: March 1, 2026