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App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
Your Complete Agent Tech Stack
Building an AI agent requires choosing the right framework, LLM, vector store, orchestration layer, and deployment platform. This tool generates a complete, opinionated stack recommendation with alternatives and rationale.
The AI Agent Stack Generator recommends a complete technology stack based on your agent type, language preference, deployment target, and team size. It covers framework, LLM, vector database, monitoring, and deployment with alternatives for each.
Configure your requirements below to get a personalized estimate.
Define agent type and whether you need RAG.
Choose your language, deployment target, and team size.
Specify your existing tech stack.
Multi-agent systems require orchestration frameworks and shared state management.
Edge deployment requires WebGPU-compatible models and lightweight frameworks.
RAG adds vector database, embedding pipeline, and retrieval layer.
Smaller teams need simpler stacks with less operational overhead.
A 2-person team building a workflow automation agent on Vercel
Dev Cost
$20K–$45K
Timeline
4–8 weeks
Monthly
$200–$800
A 5-person team building a research platform with multiple agents
Dev Cost
$80K–$150K
Timeline
12–20 weeks
Monthly
$1K–$5K
Your stack choice directly impacts ongoing costs.
| Cost Item | Range | Notes |
|---|---|---|
| LLM API costs | $100–$5K/month | Depends on model and volume |
| Infrastructure | $50–$2K/month | Hosting, databases, queues |
| Monitoring | $0–$500/month | Open-source to managed |
An App Corp engineer will design a complete, production-ready stack for your specific requirements.