Loading tool details...
Loading tool details...
"LangGraph agents + LangSmith observability—the production-grade LLM application stack."
The standard LLM framework with LangGraph (stateful agents), LangSmith ($39/user/mo observability), and hosted agent platform.
LangChain remains the industry standard. LangGraph adds stateful agent orchestration with a hosted platform (100K free node executions/mo). LangSmith provides production observability at $39/user/mo with 400-day extended traces. The ecosystem is mature and battle-tested.
What We Love:
• LangGraph: stateful multi-actor agents with hosted platform
• LangSmith: production observability with 400-day extended traces
• Largest community and ecosystem of any LLM framework
• Free tier: open-source core, 5K traces/mo, 100K node executions
What Could Be Better:
• LangGraph Plus requires LangSmith Plus ($39/user/mo)—costs add up
• Complexity has grown significantly with steep learning curve
• Abstraction overhead makes simple tasks unnecessarily complex
• Documentation quality varies across the vast ecosystem
Who Should Use It:
AI engineers building production LLM applications. If you need the broadest ecosystem, most community support, and production-grade observability, LangChain + LangSmith + LangGraph is the complete stack.
Agent orchestration framework for stateful, multi-actor applications. State machines, branching logic, human-in-the-loop, persistent state. Hosted platform: free (100K nodes/mo), Plus ($0.001/node, requires LangSmith Plus).
Developer (free): 1 user, 5,000 traces/mo, 14-day retention. Plus: $39/user/mo, up to 10 seats, 10,000 traces/user/mo. Enterprise: custom, unlimited, self-hosted. Overage: $0.50/1,000 traces.
The framework is open-source (MIT) and free. Costs come from LangSmith ($39/user/mo for Plus), LangGraph hosted platform, and external services (LLM APIs, vector databases, hosting).
LangChain: broadest framework for agents, chains, and memory. LlamaIndex: data indexing and retrieval. Haystack: production search with hybrid retrieval. Choose based on your primary use case.