Next.js + LangGraph
for AI startups.
Next.js + LangGraph is the production-grade agentic web stack. Graph-shaped workflows, persistent state, full observability. For AI startups: Persistent agent state, observability via LangSmith, careful timeout handling.
This stack, applied to you.
For AI startups building production agents, Next.js + LangGraph is the right combo. Persistent agent state via Postgres checkpointing; observability via LangSmith; tool execution via well-defined functions. The graph model handles branching, retries, and human-in-the-loop natively. Most production agents at AI startups in 2026 ship on this stack.
AI startups-specific gotchas
- Long-running agents need server-only routes (not edge)
- Checkpoint storage adds latency on each step — design carefully
- LangSmith pairing is highly recommended for debugging
- Type safety in TS is improving but inconsistent
- Human-in-the-loop primitives are powerful but require UX design
An AI startup builds a research agent with 20+ tool calls per task. LangGraph handles state, retries, and checkpointing. Average task time: 4-6 minutes. Reliability: 96%.
Common AI startups questions.
When should we write our own graph orchestration?
Once you understand LangGraph's patterns. Custom graphs give more control at the cost of maintenance.
What about CrewAI or AutoGen?
CrewAI for role-based agents; AutoGen for research-mode multi-agent. LangGraph is more production-friendly.
We've shipped this.
Used for production agents. If you're a AI startups shipping on this stack, we can save you a quarter.
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