Projects in Awesome Lists by semanticintent
A curated list of projects in awesome lists by semanticintent .
https://github.com/semanticintent/semantic-foragecast-engine
Procedural CLI pipeline for animating static mascots (e.g., AI fox) into lip-synced music videos. Offline Blender/Python magic: Beats → Phonemes → 2D/3D/Hybrid renders. Non-AI, modular, fast (3-12 mins/clip). Fork the forge!
2d-animation 3d-rigging blender3d grease-pencil lip-sync music-video offline-tools procedural-animation python-cli
Last synced: 29 Jan 2026
https://github.com/semanticintent/semantic-wake-intelligence-mcp
Wake Intelligence MCP Server - Temporal intelligence for AI agents with 3-layer brain architecture (Past/Present/Future)
ai-agents causality-engine cloudflare-workers hexagonal-architecture mcp-server memory-manager propagation-engine temporal-intelligence wake-intelligence
Last synced: 29 Jan 2026
https://github.com/semanticintent/semantic-d1-mcp
Reference implementation of Semantic Intent patterns for Cloudflare D1 database introspection via MCP. Hexagonal architecture with 398 tests demonstrating semantic anchoring, observable properties, and domain-driven design.
cloudflare cloudflare-d1 database-introspection domain-driven-design hexagonal-architecture intent-preservation mcp model-context-protocol reference-implementation schema-analysis semantic-anchoring semantic-intent typescript
Last synced: 08 May 2026
https://github.com/semanticintent/semantic-perch-intelligence-mcp
PerchIQX - Deep database intelligence for Cloudflare D1 via MCP. Reference implementation of Semantic Intent patterns.
Last synced: 29 Jan 2026
https://github.com/semanticintent/6d-foraging-methodology
Strategic analysis framework revealing 2-11× cost multipliers through 6-dimensional cascade mapping
6d-framework academic-research business-framework cal cascade-analysis cormorant-foraging cost-multiplier methodology risk-assessment strategic-analysis zenodo
Last synced: 15 Jan 2026
https://github.com/semanticintent/pace-pattern
PACE (Pattern for Agentic Conversational Experience) is a design framework that inverts the traditional relationship between users and interfaces. Instead of presenting catalogs, menus, or navigation hierarchies for users to browse, PACE implementations use an AI guide to lead users through conversation toward their goals.
Last synced: 13 Jan 2026