Time-travel adapters for MindsEye SQL — reconstructing historical database languages, relational algebra, and legacy query styles into modern LAW-T/Law-N time-labeled SQL.

Semantic & structural search engine for the MindScript ecosystem. Index prompts, ledger entries, templates, and runtime outputs — enabling fast retrieval, pattern scanning, and temporal recall across MindScript workflows.

A framework of “State Templates” for structuring AI conversations: projects, search, coding, writing, and more.

A time-series database for high-performance real-time analytics packaged as a Postgres extension

Prompt Evolution Tree + ledger for MindsEye on Google Workspace (Sheets, Docs, Forms + Apps Script).

Unified REST + SSE gateway for MindsEye Google Fabric. Ingests events, runs MindScript via runtime, dispatches to Google executor, and streams render/ledger updates.

Search + stats microservice for the Google-native Mind's Eye OS. Powers /events/search and /events/stats over Gmail, Calendar, Drive and other Mind's Eye events using full-text, trigram, and filtered search.

Deterministic append-only ledger core for MindsEye Fabric. Builds chained blocks, computes Merkle roots, verifies integrity, and persists via pluggable storage.

Official LAW-N Runtime Environment (LNRE) — a lightweight virtual machine and execution engine for LAW-N programs, time-aware instructions, and N-SQL operations. Handles bytecode, timing, routing, and runtime introspection for the LAW-N / Mind’s Eye cognition stack.

Orchestrator that runs MindsEye prompts from a Google Sheets ledger through Gemini and logs results back.

A cross-platform Uno Platform app that prototypes a 4D-inspired hypercube interface with dynamic themes, geometry modes (Cube / Sphere / Water), motion pattern capture, and spatial hex-menus. Designed as a base repo for experimental UIs, motion analytics, and AI-driven automation

Curated demos showing how MindScript Core, Templates, Ledger, Runtime, and Search work together in real workflows — from CLI runs to multi-stage AI reasoning and temporal recall.

mindscript-runtime is the minimal, reference implementation of the MindScript engine. It provides: - a CLI for running .ms / .ms.md files - a parser that converts MindScript into an internal AST - a stage-based runtime that executes each stage sequentially - adapters for different LLM backends (OpenAI, Gemini, local stub)

Cognitive AI dashboard that visualizes time-labeled data (BinFlow system) using a Node.js + React full-stack architecture.

Google Workspace and Google Cloud executor for MindScript. Maps MindScript ops to Gmail, Docs, Drive, Sheets, Calendar, and GCP via deterministic C++ execution.

Core event schema + LAW-T (Law of Time) logic for the Google-native Mind’s Eye OS constellation. Defines the universal event model, time labeling, block/segment logic, and shared TypeScript types used across all Mind’s Eye repos.

A hybrid AI + Postgres proof-of-concept built for the Agentic Postgres Challenge. MindsEye Agentic connects Timescale hypertables, trigram search, and GPT cognition to uncover time-based insights from live event data.

React + Next.js dashboard for the Google-native Mind's Eye OS. Visualizes timelines, events, LAW-T segments, search results, and weekly snapshots over Gmail, Calendar, Drive, Docs, and Meet activity.

Devlog generator that turns MindsEye ledger nodes and Google Docs into Dev.to-ready markdown posts.

Canonical MindsEye protocol schemas for Google Fabric: ledger blocks, events, operator intents, MindScript envelopes, federation packets, and renderer scenes.