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.

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

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

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

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.

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

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

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

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

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.

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)

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

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

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.

Google Workspace connectors for the Mind's Eye OS constellation. Ingests Gmail, Calendar, Drive, Docs, and Meet data into normalized MindEyeEvent objects and forwards them to Mind's Eye Core / event streams.

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

Analytics layer for the MindsEye Google ecosystem: exports, charts, and dashboards over the prompt ledger.

Automation engine for the Google-native Mind’s Eye OS. Handles scheduled jobs, Gmail/Calendar/Drive/Docs/Meet triggers, Cloud Run workflows, Pub/Sub handlers, weekly summaries, LAW-T block generation, and cognitive pool refresh tasks.