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Cortex

Autonomous AI Learning Infrastructure

Claude's limitation isn't intelligence — it's amnesia. Cortex cures the amnesia. When pointed at any software system, codebase, API, or technical domain, Cortex autonomously explores it through a 6-layer pipeline: SCOUT (discovery), DISSECT (analysis), CODIFY (structuring), VAULT (storage), ORACLE (retrieval), and EVOLVE (synthesis). The result is a persistent, structured knowledge base that any AI agent can access across sessions — making Claude progressively smarter about your specific technology stack.

Capabilities

What Cortex delivers.

01

SCOUT — Autonomous Discovery

Point Cortex at any target — a GitHub repo, API endpoint, running service, or documentation site. It systematically maps the technology stack, entry points, dependencies, and architecture.

02

DISSECT & CODIFY — Deep Analysis

Cortex doesn't just catalog — it understands. It extracts patterns, identifies anti-patterns, maps data flows, and structures everything into a queryable knowledge format.

03

VAULT — Persistent Storage

All extracted knowledge is stored in a structured vault that persists across sessions. Unlike conversation history, the vault is organized, searchable, and versioned.

04

ORACLE & EVOLVE — Intelligent Retrieval

When you need information, ORACLE retrieves precisely what's relevant. EVOLVE continuously refines and cross-references knowledge as new information is added.

Implementation

How it works.

1

Target

Point Cortex at any system — a GitHub repository, API documentation, a running service, or a technical domain you want it to learn.

2

Explore

SCOUT performs autonomous reconnaissance, mapping the technology stack, directory structure, API surface, dependencies, and architecture patterns.

3

Learn

DISSECT and CODIFY analyze every component in depth — extracting reusable patterns, data models, integration points, and domain-specific knowledge.

4

Remember

All knowledge is stored in VAULT and made accessible through ORACLE. Future sessions start with full context — no re-learning required.

Use Cases

Who uses Cortex.

Cortex is deployed by organizations that need ai infrastructure capabilities — without the complexity of traditional enterprise software.

Accelerating onboarding for new developers on complex codebases
Building institutional knowledge that survives team turnover
Creating AI assistants that deeply understand your tech stack
Automating technical documentation and architecture reviews
Cross-referencing patterns across multiple systems and vendors

Ready to get started with Cortex?

Cortex is in beta. Contact us for early access and help shape the product.