Storybloq: A Project Tracker Living in Your Repo's .story/ Directory Now Has a Mac App
Storybloq is a project tracker designed for Claude Code workflows. It stores all project data — tickets, issues, roadmap phases, lessons, session handovers — as JSON and markdown inside a .story/ directory in your repo. The data is editable in any text editor, git-trackable, and exposed to Claude Code via a CLI and MCP server so that running /story at session start loads everything.
Mac App (Now on App Store)
The free Mac companion app (macOS 14+, Apple Silicon and Intel) provides a visual dashboard that watches .story/ while Claude works. It includes:
- Full backlog view: what's left, in progress, and next up
- Live kanban board that updates when Claude changes a ticket status
- Project timeline generated from session handovers
- Notes – view and edit for brainstorming
- Autonomous session statuses (if using the autonomous feature)
- Embedded Claude Code terminal in the same window
The app is sandboxed, signed by Apple, and auto-updates through the App Store.
Built with Claude Code
The entire project (Mac app in Swift/SwiftUI, CLI and MCP server in TypeScript) was written using Claude Code, with the project's own .story/ tracking every ticket and session handover across the build — roughly 580 tickets and 260 handovers so far. Claude wrote the code, ran review rounds with Codex through MCP, fixed findings, and submitted to the App Store.
Downloads & Source
- App Store: https://apps.apple.com/us/app/storybloq/id6761348691
- Mac page: https://storybloq.com/mac
- GitHub (CLI and MCP source): https://github.com/Storybloq/storybloq
No account, no paid tier, no referral links. Open source.
Discussion: Inline Terminal vs Separate Window
The author notes that embedding the terminal next to the kanban board reduces the "wait, what was I doing?" moment when switching between projects, and invites feedback on layout preferences.
📖 Read the full source: r/ClaudeAI
👀 See Also
Eqho: Local Voice-to-Text App for Claude Code Sessions
Eqho is a free, open-source voice-to-text app that uses OpenAI's Whisper model locally to type spoken input into any focused application. Currently Windows-only with command-line setup required.
Building a Local Voice-to-Text macOS App with Claude Code: Vext Case Study
A developer spent 3 months building Vext, a macOS voice-to-text app using Whisper on Apple Neural Engine. Claude Code helped with Rust/Swift FFI, Core ML optimization, and hotkey architecture. The app runs 100% offline, transcribes 60s audio in ~400ms.
Orchino: Local Multi-Agent Orchestration System for Windows with Parallel Browser and UI Automation
Orchino is a local multi-agent orchestration system for Windows that runs parallel browser and Windows tasks without hijacking the UI. A demo shows 4 agents completing 'Search Sony earbuds on Flipkart and Amazon, email the results, save to Notepad' in 29.5 seconds using true parallel execution.
mnemos: A Persistent Memory Layer for AI Coding Agents (Go, MCP-Native, No Python)
mnemos is a Go-based MCP-native memory layer for AI coding agents. The author built a verifier to measure lift: +40% aggregate on read-side scenarios, but only 53% write-side capture rate after iterative fixes.