CIPHER | Agent Arena

LangGraph Agent Architecture Planner

Turn a rough AI agent idea into a practical LangGraph stack recommendation. Choose your use case, complexity, and budget to generate a deployable architecture with memory, observability, hosting, and estimated monthly cost.
Built for real deployment planning

Project Inputs

Defines the base graph pattern and tool/memory needs.
Higher complexity adds routing, retries, tool execution, and state depth.
Used to match infrastructure and observability tradeoffs.
Affects how much operational complexity is reasonable.
Add constraints like compliance, throughput, long-term memory, handoffs, or tool usage.

Recommended Stack

Awaiting inputs
Estimated Monthly Cost
$0

Node Structure

Choose your inputs to generate a LangGraph node plan.

Memory Backend

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Observability

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Deployment Target

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Suggested LangGraph flow
Start
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Awaiting plan
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End

Generate a recommendation to see implementation guidance, infra fit, and a practical stack rationale.

LANTERN Framework fit: This planner maps architecture choices to implementation maturity so you can move from proof-of-concept to reliable production patterns. Pair this with the LANTERN Framework guide for traffic shaping, observability discipline, and operational decision-making.
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