PEACEBINFLOW

MindsEye-Notification-Project1

Lightweight AI-driven email notification system built with Python and MindsEye automation.

Python

MindsEye-hunting-engine

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

JavaScript

law-n-core-spec

Canonical specifications for Law-N: the Network Renaissance protocol layer for signal-native computing, CLSI, N-SQL, and network LLMs.

Mermaid

dimensional-ui-hypercube-uno

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

Jupyter Notebook

law-n-device-profiles

TypeScript library and schemas for Law-N device & G-layer profiles — classifying phones, computers, and IoT under the Network Renaissance.

TypeScript

mindseye-google-analytics

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

Python

law-n-nsql-spec

Formal specification, grammar, examples, and reference schemas for N-SQL — the query language of Law-N for live signal, tower, device, and pattern introspection.

law-n-sql-api

HTTP API for Law-N N-SQL. Exposes endpoints to load network.routes rows, inspect them, and run N-SQL queries over them via FastAPI.

Python

law-n-sql-core

Core engine for N-SQL, the network-native query language of Law-N. This repo implements a minimal lexer, parser, and in-memory executor for N-SQL queries over a mock network.routes table, plus a simple CLI and docs.

Python

minds-eye-automations

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.

TypeScript

minds-eye-core

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.

TypeScript

minds-eye-law-n-network

LAW-N (Law of Network) — the Mind’s Eye data-movement layer that routes, separates, and prioritizes events across devices, 4G/5G networks, and cloud services. Designed to power the Mind’s Eye OS constellation with intelligent packet flow, time-aware routing, and network-adaptive behavior.

TypeScript

minds-eye-playground

Playground for the Google-native Mind's Eye OS. A sandbox of experiments, mock data, Kaggle/Colab notebooks, and prototype scripts for events, LAW-T, search, and Google Workspace flows.

TypeScript

minds-eye-search-engine

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.

TypeScript

minds-eye-gworkspace-connectors

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.

TypeScript

law-n-sql-playground

CLI playground for Law-N N-SQL. Run N-SQL queries against sample network.routes datasets, inspect execution plans, and prototype Law-N query patterns locally.

Python

mindseye-moving-library

The Moving Library is a pattern-based code evolution fabric for the MindsEye OS. It converts code → binary → pattern → new code variants, enabling living agent architectures, code mutation, and pattern retrieval.

JavaScript

mindseye-sql-core

Core MindsEye SQL engine — a time-labeled, event-centric, pattern-aware SQL dialect that routes queries across BigQuery, Cloud SQL, Firestore, and GCS.

TypeScript

minds-eye-dashboard

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.

TypeScript

mindseye-google-devlog

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

TypeScript

mindseye-google-workflows

Central workflow hub for the MindsEye Google ecosystem — defines cross-repo, cross-app data flows and portal-style data movement.

Python

mindseye-kaggle-binary-ledger

Binary-labeled intelligence ledger for Kaggle-style ML workflows — maps datasets, models, metrics, and notebooks into LAW-T time blocks and binary pattern signatures. Bridges Web1 → Web2 → Web3 behavior and connects directly to the MindsEye Binary Engine + Moving Library.

JavaScript

mindseye-mcp-server

Agentic MCP server starter powered by MindsEye: built-in tracing, cognitive memory, and feedback loops for tool-aware observability.

TypeScript

mindseye-sql-bridges

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.

TypeScript

mindseye-workspace-automation

Google Workspace automations (Gmail, Docs, Drive) powered by the MindsEye ledger and Gemini.

JavaScript

sageworks-ai

SageWorks AI — temporal & network-native ecosystem powering LAW-N, Network SQL, MindsEye OS, and LAW-T binary ledgers.

HTML

mindseye-gemini-orchestrator

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

TypeScript

mindseye-google-ledger

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

JavaScript

timescaledb

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

Fork C

LAW-T

A Time-Labeled Self-Evolving Programming System for Autonomous Code Architecture

Python

MindsEye-Notification-Project

law-n-notebook-hub

Central notebook hub for Law-N — experiments, simulations, and N-SQL flows powered by the core Law-N repos.

Python

law-n-nsql-engine

Minimal execution engine for N-SQL — parses N-SQL queries, builds a simple AST, and executes them against pluggable network data adapters (mock/in-memory for now).

Python

lawt-mindseye

Time-labeled self-evolving system guided by MindsEye cognition (FastAPI + Python)

Python