📊 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 uses a local-first architecture where JSON files on disk are the primary data source, enabling open, portable, and restartable project management without a database. This approach impacts how tools interact and how concurrency is handled.

Threlmark has adopted a unique local-first architecture where the filesystem, specifically plain JSON files stored on disk, serve as the definitive record for project data, eschewing traditional databases or cloud storage.

This design choice means that all project artifacts, including task cards, dependencies, and progress reports, are stored as individual JSON files within a designated directory, primarily ~/.threlmark. The core principle is that the filesystem itself becomes the API, ensuring data is portable, inspectable, and restartable.

Threlmark’s system is built on two key patterns: atomic file writes and read-merge-write updates. Atomic writes involve writing to temporary files and renaming them, preventing corruption during crashes. The read-merge-write approach allows safe, forward-compatible updates, where unknown keys are preserved and defaults are applied, ensuring compatibility with future tools.

Each project contains specific files such as project.json, board.json, and individual item files under items/. External tools can interact with these files directly, enabling seamless integration without a central server or database. This approach simplifies collaboration, backups, and migration, as everything is stored in plain, version-controllable files.

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
Amazon

JSON file management software

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
Amazon

local-first project management tools

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

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
Amazon

atomic file write software

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As an affiliate, we earn on qualifying purchases.

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

version control for JSON files

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

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.

Implications of a Disk-Contract Architecture

This approach fundamentally shifts how project data is managed and shared, emphasizing portability, transparency, and resilience. Developers and teams can easily back up, migrate, or modify project files without vendor lock-in. It also enables external tools and AI agents to participate directly by reading and writing these files, fostering a more open ecosystem. For a detailed look, see Disk Is the Contract.

By removing the dependency on centralized databases, Threlmark’s design reduces complexity, enhances data safety during crashes, and supports continuous workflows across multiple tools and environments. The approach aligns with a broader trend toward local-first, open data architectures in software development.

Evolution of Local-First Project Management

Traditional project management tools rely heavily on cloud-based servers and databases, which can introduce lock-in, complicate backups, and hinder interoperability. Threlmark’s design builds on prior efforts to decentralize data, but its key innovation is making the filesystem itself the source of truth.

Earlier tools often struggled with concurrency and data integrity; Threlmark addresses these with atomic file operations and self-healing read logic. Its architecture is similar to other local-first systems but distinct in its explicit contract: the disk layout is the API.

This development follows broader movements in software toward open, portable data formats and away from monolithic cloud solutions, reflecting a push for more resilient and interoperable tools.

“The core idea is simple: the on-disk layout is the API. This choice cascades into how concurrency, external tools, and AI agents interact with the data.”

— Thorsten Meyer, creator of Threlmark

Remaining Questions About Threlmark’s Disk-First Approach

While the architecture is clearly defined, it is not yet confirmed how well this approach scales with very large projects or high concurrency environments. The practical limits of file-based storage in complex workflows remain to be tested in real-world scenarios.

Additionally, the ease of integrating existing tools and ensuring consistent data synchronization across multiple environments is still being explored. How external tools handle conflicts or partial updates is also an open question.

Next Steps for Threlmark’s Development and Adoption

Thorsten Meyer plans to release further documentation and community examples demonstrating how external tools and AI agents can leverage the file-based system effectively. User feedback and real-world testing will guide future refinements, especially regarding scalability and multi-user workflows.

Additionally, efforts are underway to develop integrations with popular development environments and version control systems to streamline collaboration and backup processes, solidifying the disk as the definitive contract for project data.

Key Questions

How does Threlmark handle concurrent updates to project files?

Threlmark uses atomic file writes and self-healing read logic, which helps prevent conflicts and corruption during concurrent modifications. Each file is written atomically, and the system reconciles the project state on each read.

Can external tools modify project data without using Threlmark’s interface?

Yes, because the data is stored as plain JSON files in a known directory, external tools can read and write these files directly, enabling flexible integrations and automation.

What are the benefits of a disk-based contract over a cloud database?

It offers greater portability, transparency, and resilience. Data can be easily backed up, migrated, and inspected, without vendor lock-in or reliance on external servers.

Is this approach suitable for large or collaborative projects?

The approach is promising for small to medium projects and environments where control over the data is paramount. Its scalability and concurrency handling in large, multi-user projects are still being evaluated.

Source: ThorstenMeyerAI.com

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