@sweyaai/core

The Causal Specification Graph & Intelligence Engine for Tenex SDLC

@sweyaai/core is the core data and intelligence library powering the Tenex SDLC ecosystem. It gives AI coding assistants a structured, deterministic memory of all requirements, decisions, specifications, and UI components in your project.

🎯 What Problem Does This Solve?

When building software with AI assistants, critical context is often lost:

• Requirements get forgotten across long chat sessions.
• AI models hallucinate details that were never in the original documents.
• Nobody knows why a specific button, rule, or database field was created.

@sweyaai/core solves this by maintaining a single, embedded Causal Specification Graph. Every user story, screen wireframe, and acceptance criterion is automatically linked back to the exact paragraph in your original product documents or meeting notes.

✨ Key Highlights

• 🧠 Deterministic Memory: Stores requirements in an embedded graph database that lives right inside your project repository (./.tenex/graph.lbdb).
• 🔗 Zero-Hallucination Lineage: Ask "Why does this feature exist?" and instantly trace back through business requirements to original quotes from stakeholders.
• ⚡️ Git-Diff Requirement Tracking: Automatically detects when new product briefs, PRDs, or meeting notes are added or updated in your workspace.
• 🛡 Smart Safety Circuit Breakers: Prevents endless design feedback loops by flagging conflicting requirements for human review.

📦 Installation

npm install @sweyaai/core

📚 Technical Documentation & APIs

Looking for deep technical architecture, OpenCypher schemas, and internal API references?
👉 See the Technical Architecture Guide (TECHNICAL.md).

📜 License

Apache-2.0 © Sweya AI