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Full Stack AI Agent Template

An MIT-licensed Python project generator for full-stack AI-agent applications, combining a FastAPI backend, Next.js frontend, listed agent frameworks, RAG integrations and enterprise-oriented infrastructure configuration.

Independent OpenViST project profile, based on linked sources.

Full Stack AI Agent Template — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it at the beginning of a full-stack AI application when you want generated backend and frontend structure alongside agent, RAG, streaming, authentication and infrastructure options.

Who it is for

  • Developers building full-stack conversational AI applications
  • Teams creating RAG applications with a supported vector database
  • Builders evaluating multiple agent frameworks in one generated project
  • Developers needing authentication, conversation sharing or deployment configuration

Documented uses

  • Generate a FastAPI and Next.js AI-agent application
  • Create a retrieval-augmented generation application using Milvus, Qdrant, pgvector or ChromaDB
  • Add real-time chat with WebSocket streaming
  • Create shareable conversations through public links
  • Start an authenticated application with background-task and deployment configuration
Before you choose

Requirements & limits

The repository is public and MIT-licensed. The documented installation paths are pip, uv and pipx; a browser configurator is also identified for downloading a configured project archive.

  • FastAPI and Next.js are the documented core application stack.
  • Five agent frameworks are listed: PydanticAI, PydanticDeep, LangChain, LangGraph and DeepAgents.
  • RAG support is documented for Milvus, Qdrant, pgvector and ChromaDB.
  • WebSocket streaming, real-time chat and public conversation links are included in the documented feature set.
  • Docker and Kubernetes-related deployment configuration is identified.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

COMPARE OPTIONS

Compare options for Retrieval-augmented applications

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
Full Stack AI Agent TemplateGenerate a FastAPI and Next.js AI-agent applicationCloud, Docker, Linux, Self-hostedThe repository is public and MIT-licensed. The documented installation paths are pip, uv and pipx; a browser configurator is also identified for downloading a configured project archive.
Hydra — hassenhamdiIngest Markdown documents into a searchable knowledge base.CLI, Self-hosted, ServerThe repository is public and identifies an MIT license. Local setup requires Python 3.10+, a Gemini API key and Docker with Docker Compose for Milvus.
AgentnexusConfigure agents from stored models, tools, prompts, memory, and knowledge sources.Docker, Self-hosted, ServerThe project is documented as open source, and its README states that it uses the MIT License.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
1 October 2026
Original website title
vstorm-co/full-stack-ai-agent-template · Official homepage title · retained in its source language
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