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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