GHOST
A secure desktop + CLI workflow assistant for organizing project sessions, memory, handoffs, outputs, and artifacts with a safety-first local architecture.
What is this project?
GHOST (GitHub, Handoff, Operations, Search, and Tracking) is a secure local-first workflow assistant I built to manage project continuity across my development work. It combines a Python CLI workflow engine with a Tauri-based macOS desktop cockpit, allowing projects, sessions, notes, outputs, handoffs, memory, and generated artifacts to stay organized locally.
Local-first Workflow Assistant
2026
Public Alpha
I designed, developed, tested, validated, and released the entire project independently — including the CLI workflow engine, Tauri desktop cockpit, React UI, safety model, project/session/memory architecture, GitHub Actions CI, and the public v0.3.0-alpha release.
What made this difficult?
The main challenge was building a workflow tool that keeps project data local and structured while maintaining strict safety boundaries. The desktop cockpit needed to surface workflow information without automatically executing risky actions. Coordinating the Python CLI engine with the Rust/Tauri desktop required careful architecture to keep the write path explicit and controlled.
What I Built
Local-first desktop + CLI workflow system
macOS desktop Command Space cockpit
Projects, Sessions, Memory, and Artifacts pages
Safe project/session tracking
Explicit-submit local memory search
Context packs and AI handoff drafts
Update pack generation
Memory and artifact review cockpit
Safe Open / Reveal actions for approved artifacts
Python CLI workflow engine
Desktop action request bridge on latest main branch
GitHub Actions CI and public release workflow
Testing & Validation
v0.3.0-alpha • Public GitHub Release
Local MVP Desktop Checkpoint. macOS app is unsigned and not notarized. Install from GitHub release artifacts.
Safety Boundaries & Limitations
GHOST is a public alpha and local MVP, not production-ready. The desktop does not run shell commands, invoke the Python CLI, call AI APIs, call network services, or automatically publish, deploy, merge, push, tag, or release. CLI remains the controlled write path. Users must review generated drafts before sharing. Users should not store secrets in GHOST notes, requests, or outputs.
Project Screenshots
Local-first Workflow Assistant Overview
Inside GHOST — Desktop Cockpit
Safe Local-first Architecture
What I Learned
GHOST reached its v0.3.0-alpha public release as a Local MVP Desktop Checkpoint with a working desktop cockpit, CLI workflow engine, safe action model, and structured project/session/memory architecture. It demonstrates secure local-first software design, desktop application development with Tauri, workflow automation architecture, and disciplined release engineering. The project is moving toward v0.4.0-alpha with planned features including safe desktop action request review and approval, confirmed desktop write actions, AI-assisted project context suggestions, and GitHub/developer workflow integrations.