mathPi

Advanced mathematical computing platform powered by Multi-Agent AI System with real-time collaboration and intelligent problem solving.

Multi-Agent AI System

Multi-Agent AI System for Mathematical Computing

Revolutionary mathematical computing powered by collaborative AI agents working in real-time to solve complex problems.

Multi-Agent Collaboration

Production Ready

Intelligent AI agents work together in real-time to solve complex mathematical problems through collaborative reasoning.

Gemma 3 270M → Gemma 2B ↔ Qwen2 Math
Multi-Agent Workflow Active

Real-time Workflow Visualization

Latest Standards

Visualize agent interactions and workflow progress in real-time with dynamic status tracking and connection monitoring.

Agent Status: Active → Processing → Complete
Workflow Visualization Live

Intelligent Message Routing

New Feature

Smart message type detection automatically routes simple questions to fast agents and complex math problems to specialized workflows.

Simple: Gemma 3 270M → User
Complex: Multi-Agent Workflow

Streaming Responses

Stable

Real-time streaming responses with live updates as agents collaborate to solve mathematical problems step by step.

Agent 1: Analyzing problem...
Agent 2: Verifying solution...

System Architecture

Beta

Robust FastAPI backend with Node.js frontend providing scalable multi-agent orchestration and real-time communication.

Frontend: localhost:3000
Backend: localhost:8000

mathPi Interface

Experience the power of our intuitive mathematical computing environment with Multi-Agent System visualization

mathPi Interface

Multi-Agent Workflow System

Experience the power of collaborative AI agents working together to solve complex mathematical problems

User Input
Ready
Gemma 3 270M
Message Detection
Gemma 2B
Problem Analysis
Qwen2 Math
Mathematical Solving
Gemma 3 1B
Response Editing
Verified Output
Complete

Workflow Types

Simple Messages

User → Gemma 3 270M → User

Math Questions

User ↔ Gemma 3 270M → Gemma 2B ↔ Qwen2 Math → Gemma 2B → Gemma 3 1B → User

System Architecture & Access Points

Robust multi-agent system with real-time communication and scalable architecture

Frontend (Node.js)

Real-time Multi-Agent System visualization with n8n-style workflow interface and dynamic agent status tracking.

Backend (Python FastAPI)

Multi-Agent Orchestrator with message type detection, agent coordination, and streaming responses.

API Endpoints

POST /api/chat, POST /api/chat/stream, GET /api/health, GET /api/workflow for comprehensive system control.

Access Points

Frontend: localhost:3000, Backend API: localhost:8000, API Docs: localhost:8000/docs

Real-time Integration

Dynamic tracking of user input, agent processing status, inter-agent communication, and response generation.

Workflow Types

Simple Messages: User → Gemma 3 270M → User, Math Questions: Multi-Agent Collaboration

Agent Coordination

Intelligent message routing, collaborative problem solving, and real-time status updates across all agents.

Streaming Responses

Live updates as agents collaborate, step-by-step problem solving, and real-time workflow visualization.

System Monitoring

Health checks, performance metrics, agent status tracking, and comprehensive system diagnostics.

Scalable Architecture

Modular design, horizontal scaling capabilities, and robust error handling for enterprise deployment.

API Documentation

Comprehensive API documentation with interactive examples and real-time testing capabilities.

Multi-Agent Visualization

Agent node status indicators, connection lines showing data flow, and real-time workflow progress tracking.

mathPi Blog

Multi-Agent AI System Architecture

January 2025

Explore the revolutionary Multi-Agent AI System that powers mathPi's collaborative problem-solving capabilities.

AI Agents Architecture Collaboration

Workflow Implementation Guide

January 2025

Comprehensive guide to implementing and managing Multi-Agent workflows for mathematical problem solving.

Workflow Implementation Guide

Frequently Asked Questions

How does the Multi-Agent AI System work?
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Our Multi-Agent System uses specialized AI agents (Gemma 3 270M, Gemma 2B, Qwen2 Math, Gemma 3 1B) that collaborate in real-time to solve mathematical problems. Simple questions go through a fast workflow, while complex problems trigger the full multi-agent collaboration.

What are the different workflow types?
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mathPi supports two workflow types: Simple Messages (User → Gemma 3 270M → User) for quick responses, and Math Questions (Multi-Agent Collaboration) for complex mathematical problems requiring specialized expertise and verification.

How can I access the system?
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The system provides multiple access points: Frontend at localhost:3000 for the user interface, Backend API at localhost:8000 for programmatic access, and API Documentation at localhost:8000/docs for comprehensive system information.

What real-time features are available?
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mathPi offers real-time agent visualization, dynamic workflow switching, streaming responses with live updates, agent status tracking, and comprehensive monitoring of inter-agent communication and data flow.