ToolProduction Ready

full-stack-ai-agent-template

Name: full-stack-ai-agent-template
Rating: 3.2 (1596 reviews)
Author: vstorm-co

by vstorm-co

Production-ready full-stack AI agent template with multiple agent frameworks and observability

Python

Updated Jul 17, 2026

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How It Works

Provides a production-ready full-stack AI agent template combining FastAPI backend and Next.js frontend with built-in agent frameworks. Bundles five agent frameworks (PydanticAI, LangChain, LangGraph, CrewAI, DeepAgents) plus WebSocket streaming, tool approval UI, auth, multi-DB support, and observability. Includes 20+ integrations and patterns for streaming, task queues, and deployment to accelerate building production agent systems. It aligns with patterns like Model Context Protocol (MCP) Pattern and Human-in-the-Loop Pattern to reinforce robust evaluation and governance.

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Why It Matters

As multi-agent systems move to production, teams need complete reference architectures that show end-to-end flows — from UI approvals to telemetry. This template makes architectural choices explicit (auth, tool gating, DB backends, observability) so you can evaluate agent-to-agent behavior in realistic environments. That context is essential for establishing agent track records, reproducing failures, and integrating continuous evaluation into delivery. For standards and interoperability, consider the Open Agent Specification (Agent Spec).

Best For

Teams building production multi-agent applications who want a turnkey, extensible reference stack with built-in integrations and monitoring. It’s particularly well-suited for scenarios that benefit from structured orchestration, such as the Orchestrator-Worker Pattern.

Use Cases

Bootstrap a production agent app with built-in auth, tool approval UI, and WebSocket streaming
Compare multiple agent frameworks (langchain, langgraph, crewai, pydantic-ai) in the same architecture to establish agent track records
Run realistic integration tests and capture interaction logs for agent-to-agent evaluation and failure analysis