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NMN: La Plataforma de Orquestación de IA que Revoluciona la Automatización Empresarial

Descubre NMN, la plataforma que combina la flexibilidad de un constructor visual con la potencia de agentes de IA avanzados, memoria adaptativa y aprendizaje continuo.

4 min read
Sporeshift AI Team
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NMN: La Plataforma de Orquestación de IA que Revoluciona la Automatización Empresarial

In the current ecosystem of automation tools, NMN emerges as an innovative solution that combines the best of two worlds: the flexibility of a visual workflow builder (similar to n8n) with the power of advanced AI agents built on LangChain and LangGraph.

What is NMN?

NMN is an AI agent orchestration platform designed for businesses that need to automate complex interactions with their customers while maintaining total control over business logic and user experience.

Key Features

1. Advanced Visual Workflow Builder

Like n8n, NMN offers a drag-and-drop visual editor based on nodes, but with a fundamental difference: each node can execute complex AI agents with full agentic capabilities.

Available Node Types:

  • Agentic Nodes: Execute AI agents with customizable prompts and configurable models
  • Tool Nodes: Automatic access to vector databases, RAG search, and custom tools
  • Handler Nodes: Predefined handlers for common operations
  • Python Code Nodes: Execute custom code for specific business logic
  • Router Nodes: Conditional routing based on workflow state

2. Adaptive Memory System with Intelligent Compression

One of NMN's most innovative features is its adaptive memory system that implements a "cascading compaction" approach to maintain long conversations without losing important context:

Memory Flow: Active → Buffer → Compressed → Summary

Memory Structure:

  • Summary: Key points from the entire conversation
  • Compressed: Line-by-line compressed history
  • Buffer: Complete messages waiting for compression
  • Active: Last N messages in full detail

This system allows agents to maintain context from extremely long conversations without exceeding LLM token limits.

3. Learning "Facts" from End Users

NMN implements a unique continuous learning system where agents can:

  • Extract and store "facts" about users during conversations
  • Maintain an enriched user profile (user_additional_context)
  • Access personalized historical context in each interaction
  • Dynamically update knowledge about user preferences and needs

4. Multi-Tenant Dashboard for Clients

Unlike traditional automation tools, NMN includes a complete dashboard for end clients featuring:

  • Interactive Chat Panel: Modern chat interface with multimodal message support
  • Database Management: Visual interface to manage knowledge bases
  • Admin Panel: User and permission management, execution monitoring, and usage statistics

5. Enterprise-Level Technical Architecture

NMN is built on a modern and scalable architecture:

Backend (FastAPI + Python):

  • FastAPI for high-performance REST APIs
  • LangChain and LangGraph for agent orchestration
  • PostgreSQL with pgvector for vector storage
  • Redis for distributed cache and real-time pub/sub
  • Celery for asynchronous task processing

Frontend (React + TypeScript):

  • React 18 with TypeScript for type safety
  • ReactFlow for visual builder
  • Monaco Editor for code editing
  • Radix UI + Tailwind CSS for modern UI

Use Cases

1. Intelligent Automated Customer Service

  • Automatic contextual responses across multiple channels
  • Smart escalation to human agents
  • Continuous learning of customer preferences

2. Personalized Virtual Assistants

  • Agents that remember user information between sessions
  • Complex workflows with multiple steps and validations
  • Integration with enterprise systems (CRM, ERP, etc.)

3. Business Process Automation

  • Complex workflows with AI-based decisions
  • Unstructured information processing
  • Automatic report and analysis generation

Competitive Advantages

vs. n8n

  • Native AI agents with full agentic capabilities
  • Advanced memory system for long conversations
  • Client dashboard included
  • Automatic user fact learning

vs. Pure LangGraph

  • Visual interface to design workflows without code
  • Centralized configuration management
  • Automatic versioning of prompts, agents, and workflows
  • Native multi-tenancy

Technology Stack

  • AI Stack: LangChain, LangGraph, OpenAI, Anthropic, pgvector
  • Backend: FastAPI, SQLAlchemy, Redis, Celery
  • Frontend: React 18, TypeScript, ReactFlow, Radix UI, Tailwind CSS
  • Infrastructure: Docker, Docker Compose, Kubernetes support

Conclusion

NMN represents the natural evolution of automation platforms, combining the ease of use of visual builders with the power of modern AI agents. Its focus on continuous learning, adaptive memory, and end-user experience makes it a unique tool in the market.


Ready to transform your business with AI? Contact us for a free consultation.

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