Building the infrastructure layer for
AI-native development.

Persistent memory infrastructure for AI-assisted development

AI agents forget everything between sessions. Mandrel gives them a semantic, searchable knowledge base that survives across conversations.

Local embeddings via Transformers.js — no data leaves your machine, works offline

AI memory that knows the user

Current AI assistants are amnesiacs. Squire gives AI genuine memory — not retrieval, but understanding of patterns, priorities, relationships, and goals.

Story Engine — "Generate Not Retrieve" — synthesizes narratives from memory graphs

See your codebase, understand your architecture

AI-generated code becomes incomprehensible fast. Surveyor visualizes three layers: structural (imports/exports), behavioral (what functions do), and intent (emergent patterns).

Three-layer mapping — structure, behavior, intent — makes invisible architecture visible

Terminal command center for AI-native development

Development workflows are fragmented. Ridge-Control unifies terminal emulation, AI interaction, process monitoring, and orchestration in one TUI.

Built collaboratively by sequential AI instances, each contributing incrementally with handoffs via Mandrel

Sales territory command center — real users, real value

Sales reps manage territories with scattered spreadsheets. Wilf-Command centralizes dealers, product mix, travel planning, and visit tracking in one dashboard.

Proof that AI-assisted development delivers real business value — production tool with actual users