PEACEBINFLOW
Founder of SAGEWORKS AI — building the Web4 layer where AI, blockchain & time flow as one. Creator of Mind’s Eye and BinFlow. Engineering the future of temporal, network-native intelligence.
Pronouns
he
Work
Founder & System Architect at SAGEWORKS AI
AI Agents Intensive Course Writing Challenge Completion
Awarded for completing the AI Agents Intensive Course Writing Challenge. Thank you for sharing your learning journey! 🤖
Xano AI-Powered Backend Challenge Completion
Awarded for completing at least one prompt in the Xano AI-Powered Backend Challenge. Thank you for participating! 💻
4 Week Community Wellness Streak
Keep contributing to discussions by posting at least 2 comments per week for 4 straight weeks. Unlock the 8 Week Badge next.
Agentic Postgres Challenge Completion
Awarded for completing at least one submission in the Agentic Postgres Challenge with TigerData. Thank you for participating! 💻
2025 Hacktoberfest Writing Challenge Completion
Awarded for completing at least one prompt in the 2025 Hacktoberfest Writing Challenge. Thank you for sharing your open source story! 🎃✍️
2 Week Community Wellness Streak
Keep the community conversation going! Post at least 2 comments for 2 straight weeks and unlock the 4 Week Badge.
1 Week Community Wellness Streak
For actively engaging with the community by posting at least 2 comments in a single week.
Writing Debut
Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge.
Organizations
GitHub Repositories
mindscript-demos
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-core
MindScript Core — The official language specification, execution laws, and architectural model for MindScript, the AI-native prompting language created by Peace Thabiwa (Sageworks AI). Includes the formal syntax, deterministic stage logic, modality rules, ledger schemas, and documentation for implementing MindScript across multi-modal AI systems.
mindscript-google-executor
Google Workspace and Google Cloud executor for MindScript. Maps MindScript ops to Gmail, Docs, Drive, Sheets, Calendar, and GCP via deterministic C++ execution.
C++
mindscript-templates
MindScript Templates — The official library of structured, deterministic MindScript patterns for text, diagram, image, video, and automation tasks. Includes multi-stage templates, modality-specific patterns, pattern inheritance examples, and real-world examples demonstrating how to execute MindScript programs across LLMs and agent systems.
mindseye-binary-engine
A binary-level cognition engine for MindsEye. Decode, label, map, and traverse binary as time-patterns. Builds signatures, provenance, and time-aware meters for advanced ML and agentic systems.
Python
mindscript-ledger
MindScript Ledger is the temporal memory and pattern-recall layer of the MindScript ecosystem. It stores normalized prompts, logic states, patterns, and threads as a structured ledger, enabling deterministic recall and reconstruction of long-running AI interactions.
mindscript-search
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.
Python
mindscript-runtime-c
Deterministic C++ runtime for executing MindScript programs with budgets, policy hooks, idempotency, and audit output; wired to mindseye-protocol protobuf contracts.
C++
mindscript-runtime
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)
Python
mindscript-web-playground-
"Web playground for running MindScript programs with Streamlit — powered by mindscript-runtime and templates."
mindseye-agentic
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.
JavaScript
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
mindseye-google-analytics
Analytics layer for the MindsEye Google ecosystem: exports, charts, and dashboards over the prompt ledger.
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
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
MindsEye-Notification-Project
Skills/Languages
Experienced in Python, TypeScript, Solidity, Next.js, MongoDB, and AI frameworks.
Specializing in temporal AI, Web4 infrastructure, and blockchain-driven data flow
Currently learning
Exploring temporal AI architectures, LLM agents, and multi-chain data flows. Deep-diving into TypeScript, Python, Solidity, Next.js, and cognitive compute design.
Currently hacking on
Building Mind’s Eye, BinFlow, and FlowSheet — a Web4 stack merging AI perception, temporal reasoning, blockchain verification, and time-labeled data orchestration.
Available for
Open to collaborations on AI agents, temporal computing, Web4 ecosystems, blockchain data flows, and experimental system design.
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