Engram Context Engineering Platform

Cognition-as-a-Service for the Enterprise

Overview

Engram is an enterprise-grade AI platform that solves the Memory Wall Problem in Large Language Models through innovative context engineering. Built on the Brain + Spine architecture pattern, Engram provides durable, scalable, and cost-effective AI agent orchestration.

Documentation Structure

Strategy

Executive summaries, business plans, and product roadmap.

• AI Periodic Table
• Pricing & Deployment
• Context Engineering Research

Architecture

System design, diagrams, and core concepts.

• Brain + Spine Pattern
• 4-Layer Context Schema
• Agent Personas
• Memory Architecture

Developer Guide

Setup, integration, and testing for engineers.

• Getting Started
• IDE Integration (Cursor, VS Code)
• Testing Guide

Operations

Deployment, security, and maintenance.

• Deployment Guide
• Enterprise Auth
• FinOps Strategy

Features

Feature specifications and implementation details.

• Voice & Chat
• Visual Development
• Document Ingestion

Knowledge Base

Standard Operating Procedures (SOPs), troubleshooting, and historical context.

• Azure SOPs
• Troubleshooting
• Post-Mortems

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Agent Personas

Dr. Elena Vasquez

Business Analyst

Expert in requirements analysis and digital strategy.

Marcus Chen

Project Manager

Specialist in program management and execution.

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Technology Stack

Layer	Technology
Frontend	React 19 + Vite
Backend	FastAPI + Python 3.11
Agent Framework	LangGraph + Azure AI (Foundry)
Orchestration	Temporal
Memory	Zep + Graphiti
Infrastructure	Azure Container Apps
Authentication	Microsoft Entra ID

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Built with ❤️ using the Context Engineering paradigm