📊 Full opportunity report: Disk Is the Contract: Inside Threlmark’s Local-First Architecture on ThorstenMeyerAI.com — validation score, market gap, and execution plan.

TL;DR

Threlmark employs a local-first architecture where project data is stored as JSON files on disk, making the system portable, safe, and interoperable without a central database. This approach enables external tools and AI agents to participate seamlessly.

Threlmark has implemented a novel local-first architecture that treats disk storage as the definitive source of truth, eliminating the need for servers or cloud-based databases. This design allows project data to be managed directly through JSON files stored on the user’s disk, enabling seamless interoperability, safety, and external tool participation.

The core of Threlmark’s design is that all project data—such as cards, dependencies, and workflows—reside in plain JSON files within a designated directory, defaulting to ~/.threlmark. This directory contains manifest files, project metadata, lane configurations, and individual item files, each representing a task or card. The architecture deliberately avoids a central database, instead relying on file-based state management that is both portable and restartable. Key to this approach are two disciplined patterns: atomic file writes using temporary files and rename operations, which prevent corruption during crashes, and read-merge-write updates that preserve data integrity and forward compatibility. External tools and AI agents can read and modify these files directly, enabling a collaborative ecosystem without complex integrations or lock-in. The self-healing nature of the lane ordering and item management ensures consistency even when external modifications occur or files are added or removed.
Disk is the contract: inside Threlmark’s architecture — ThorstenMeyerAI.com
ThorstenMeyerAI.com
Threlmark · Technical Deep-Dive
Threlmark · architecture

Disk is the contract: inside a local-first roadmap hub

A Next.js app on top of plain JSON files — no database, no cloud, no accounts. The key decision: the on-disk layout IS the API. Everything else cascades from taking that seriously.

Next.js · TypeScript · JSON-on-disk · MIT · part 2 of the Threlmark series
01The core decision

There is no server-of-record — the files are the record

The UI and any external tool reach the same files through the same discipline. The data root defaults to ~/.threlmark — home-based, because it’s a shared hub every one of your apps points at.

~/.threlmark/ ├─ threlmark.json # manifest ├─ links.json # dependency graph ├─ projects// │ ├─ project.json # meta + wipLimits │ ├─ board.json # lane ordering │ ├─ items/.json # ONE card per file ← source of truth │ ├─ suggestions/ # the Inbox (drop-zone) │ ├─ handoffs/ # recorded agent handoffs │ ├─ reports/ # agent report drop-zone │ └─ ROADMAP.md # human-readable mirror ├─ shared/items/ # cards many projects ref └─ archive/ # archived, still readable

Inspectable

Every artifact is a file you can cat, diff, grep, commit.

Portable · no lock-in

Back up with cp, sync with Dropbox / git, migrate trivially.

Interoperable

Any tool in any language joins by reading / writing files.

Restartable

No in-memory state to lose — stateless over the files.

02Making files safe
Free Fling File Transfer Software for Windows [PC Download]

Free Fling File Transfer Software for Windows [PC Download]

Intuitive interface of a conventional FTP client

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Two disciplined patterns instead of a database

“Just use files” is easy to get wrong. These two patterns — ported from a battle-tested sibling app — are what make file-based state sound rather than reckless.

Pattern 1

Atomic writes

Write to a temp file in the same dir, then rename() over the target. Rename is atomic on one filesystem — a crash mid-write leaves the complete old file or the complete new one, never a half.

write .tmp-pid-rand fsync rename() over target
Pattern 2 · one file per item

The board heals itself

A single roadmap.json array races when two tools write at once. One file per card makes writes collision-free. Lane order lives in board.json and reconciles on read.

The payoff: an external tool never touches board.json. It writes an item file — the board fixes itself on Threlmark’s next read. Unknown keys are preserved, so the contract is forward-compatible.
03Derived, never stored
IMPACT IMPLEMENTS® Disc Plow Harrow with Weight Tray for ATV/UTV/Garden Tractors. Prep Soil, Cut Weeds & Clear Crop Remains.

IMPACT IMPLEMENTS® Disc Plow Harrow with Weight Tray for ATV/UTV/Garden Tractors. Prep Soil, Cut Weeds & Clear Crop Remains.

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The numbers can’t drift from the files

Anything computable from item state is computed — so the displayed numbers can never disagree with the underlying JSON. Priority is the clearest example: it’s calculated on read, never persisted.

priority — computed on read

Impact weighted heaviest; effort the only axis that subtracts. Reused verbatim from the original tool, so imported cards rank identically.

priority = max(0, round(impact·3 + evidence·2 + fit·2effort·1.5))
a 5 / 5 / 5 / 4 card 29
work-item age
now − lane-entry time. Past threshold (dev 7d, ranked 21d, idea 60d) → stale.
cycle time
first DevelopmentDone. Derived from append-only transitions[].
throughput
items reaching Done per ISO week, 8-week window.
WIP
count per lane; over the cap shows 3 / 2 in red.
04The closed agent loop · press play
Smart Keypad Door Lock with Handle, Smart Door knobs with Lock, Auto Door Lock with Code and App, Keyless Entry Door Knob for Bedroom, Front Door, Smart Home, Apartment, Local Data Storage

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A handoff is a first-class flow event

The genuinely 2026-shaped part: most building is done by AI agents, so Threlmark closes the loop. Watch a card go from ranked to Done without anyone dragging it.

Handoff → report → self-move

The brief carries a reporting protocol. The agent reports through REST or the filesystem — and a done report moves the card itself.

Ranked
Add price-drop alertsscore 31 · ready
Development
Handed off 🤖
Done
▶ preferred — REST
POST /api/projects/:id/
items/:itemId/report

Direct call. Applied immediately.

▶ fallback — filesystem
drop reports/.json
→ ingested on read

Robust even if the server’s down at finish time.

🤖 claude done: price-drop alerts shipped · typecheck + lint + build passed — card moved to Done
05Portfolio score & deployment
Amazon

file-based task management app

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A small formula, and an honest hosting caveat

Because items are globally addressable (/), the Portfolio ranks everything together by a status-weighted score — finishing beats starting, blockers get a boost.

Portfolio ranking — status-weighted

In-flight work floats to the top; bottlenecks cost the most, so blockers get nudged up.

score = priority · statusWeight (+ 0.1 · blockedCount · priority)
1.3
development
1.0
ranked
0.85
idea
0.15
done
Path 1

Static read-only demo

Seeded data, writes to localStorage. Try-before-you-clone.

Path 2

Personal Node instance

Password-gated, persistent backed-up THRELMARK_DATA_DIR.

Path 3

Multi-tenant SaaS

Add accounts + per-tenant isolation. A separate build.

The elegant part: the store interface src/lib/*/store.ts is the natural seam — the same boundary that keeps the local tool simple is the one you’d extend for multi-tenancy. The architecture doesn’t fight that future; it just doesn’t pay for it until you need it.
ThorstenMeyerAI.com
Threlmark · open source (MIT) · github.com/MeyerThorsten/threlmark · part 2 of a series · file layout, formula, weights & agent-loop channels are Threlmark’s actual mechanics.

Why Disk-Based Storage Changes Project Management

This architecture shifts the paradigm of project management tools from centralized servers to a decentralized, file-based system. It enhances data portability, allowing users to back up, migrate, or integrate with other tools easily. It also improves safety by avoiding in-memory state and potential corruption, while enabling external automation and AI integration, which are critical for modern workflows. This approach could influence future tool design, emphasizing openness and resilience.

Threlmark’s Design Roots and Evolution

Traditional project management tools often rely on cloud servers or centralized databases, which can limit portability and control. Threlmark’s design draws inspiration from earlier local storage solutions, but extends this by formalizing the on-disk layout as a contract. The approach was motivated by the need for a unified, portable, and safe system that can support multi-project workflows and external automation. The architecture is a response to fragmentation in existing tools, aiming to provide a single source of truth that is both human-readable and machine-friendly.

“By making disk the contract, we empower users to own their data completely, while enabling external tools and AI agents to participate without restrictions.”

— Thorsten Meyer, creator of Threlmark

Unresolved Questions About Threlmark’s Architecture

While the architecture is well-defined, it is not yet clear how well this approach scales with very large projects or multiple concurrent users. The system’s behavior under high-frequency external modifications and its integration with existing workflows remain to be tested in real-world scenarios. Additionally, the long-term management of backward compatibility as the format evolves is still being refined.

Next Steps for Threlmark’s Development and Adoption

Threlmark plans to release detailed documentation and open-source the core components to encourage community experimentation. Future updates may include enhanced tools for conflict resolution, improved automation integration, and scalability testing. The project team will also seek feedback from early adopters to refine the system’s robustness and usability in diverse environments.

Key Questions

How does Threlmark ensure data safety without a database?

Threlmark employs atomic file writes using temporary files and rename operations, preventing corruption during crashes and ensuring data consistency.

Can external tools modify Threlmark data?

Yes, since all data is stored as JSON files, any tool that can read and write JSON can participate, enabling seamless automation and collaboration.

What are the benefits of this disk-based approach?

It provides portability, safety, interoperability, and restartability, giving users full control over their project data without vendor lock-in.

Is this approach suitable for large or collaborative projects?

The architecture is promising for small to medium projects and multi-project environments, but scalability and multi-user concurrency are still under evaluation.

Source: ThorstenMeyerAI.com

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