Skip 200+ Hours
of Backend Engineering.
A production-grade multi-agent architecture with LangGraph orchestration, FastAPI streaming, and RAG pipelines. Stop debugging state machines. Start shipping agents.
One-time payment • Lifetime updates • Commercial license
▶️ Watch how the multi-agent system works in 2 minutes
Your architecture decisions have six-figure consequences
See exactly what you're saving with production-ready infrastructure
Time Investment Breakdown
Instead of spending 200 hours on boilerplate...
Start building your unique features today.
You know how painful this really is.
We solved the complex backend integrations so you can ship production agents.
$ pip install langgraph langchain
$ # Day 1: "This will be quick"
ERROR: State serialization failed between nodes
ERROR: Streaming chunks lost on SSE bridge
ERROR: Agent memory not persisting across sessions
ERROR: Supervisor routing logic broken after refactor
$ git log --oneline | wc -l
> 847 commits... still debugging
$ docker-compose up
✓ Supabase schema applied
✓ Clerk middleware configured
✓ Pinecone index ready
✓ Stripe webhooks connected
✓ LangGraph agents initialized
🚀 Multi-agent system running on localhost:3000
Debugging LangGraph state serialization between nodes
Streaming chunks lost on Python → Next.js bridge
Agent memory not persisting across sessions
Configuring Clerk JWT validation in FastAPI
The Backend Architecture Senior Engineers Need
We sell infrastructure, not UI. The Next.js frontend is a premium bonus.
LangGraph Supervisor
Multi-agent orchestration with state management solved. Researcher and RAG nodes included.
FastAPI Streaming
SSE bridge from Python to Next.js. No chunk loss. Production-tested.
Type-Safe Monorepo
Python backend + TypeScript frontend. Shared contracts. Zero runtime type errors.
RAG Pipeline Ready
Upload, chunk, embed, store in Pinecone. Vector search configured and tested.
Built on the modern AI stack
Simple pricing
One-time payment. Lifetime access. No subscriptions.
One-time payment
🔥 Launch price — 101x ROI guaranteed
Self-hosted. You own the code. No monthly subscriptions.
Frequently asked questions
Uses the Supervisor pattern with a central router node. Includes Researcher (Tavily API) and RAG Specialist agents. Adding new agents is one function in workflow.py — the supervisor routes automatically.
Yes. Server-Sent Events bridge from FastAPI to Next.js with proper chunk handling. No lost tokens. Tested in production environments.
Full Supabase schema in supabase_schema.sql. Users, conversations, messages, documents, and credits tables. Row-level security configured.
No. This is production backend architecture. 15K+ lines of tested code. The frontend is a bonus — the LangGraph + FastAPI backend is the product.
Yes. Add a node in workflow.py, register it with the supervisor, define routing logic. The state management is already solved.
Full commercial license included. Build and deploy unlimited products for yourself or clients. One-time payment of $149. No attribution required.
Built by an Engineer, for Engineers
Real production experience, distilled into a kit
Mario Ortega
Senior AI Engineer & Architect
"I built AgentGraph because I was tired of spending 40+ hours setting up the same MLOps & LangGraph architecture for every new client. This is the exact production-ready stack I use for enterprise projects. It's clean, scalable, and saves you weeks of headaches. Enjoy building!