📊 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’s new system uses on-disk JSON files as the sole data source, enabling portable, restartable, and interoperable project management without a database. Its architecture emphasizes local-first principles and atomic file operations.

Threlmark has unveiled a new approach to project management architecture that relies solely on local JSON files, eliminating the need for databases or cloud storage. This system, called ‘Disk Is the Contract,’ emphasizes local-first principles, ensuring data portability, restartability, and interoperability. The design choice allows external tools and AI agents to interact directly with project data without server dependencies, marking a significant shift from traditional cloud-based project tools.

The core of Threlmark’s architecture is that all project data resides in plain JSON files stored on disk, with the on-disk layout serving as the API. Key files include a manifest (threlmark.json), a dependency graph (links.json), and individual project folders containing metadata, lane configurations, and one file per roadmap card in the ‘items/’ directory. This structure enables any external tool to access, modify, or extend data simply by reading and writing files, avoiding vendor lock-in.

To ensure data integrity, Threlmark employs atomic file writes—writing to a temporary file and then renaming it atomically—preventing corruption during crashes. Updates use a read-merge-write pattern, preserving data consistency and forward compatibility by retaining unknown fields. The system’s design supports concurrency, with each card stored as a separate file, eliminating race conditions common in list-based structures. The self-healing board logic dynamically reconciles the actual set of files with lane configurations, ensuring consistency without locks.

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
Python in Action: 60 Mini Projects to Automate Everything (Part 1): Practical CLI Tools, File Automation, and Data Cleaning with CSV, Excel, and JSON

Python in Action: 60 Mini Projects to Automate Everything (Part 1): Practical CLI Tools, File Automation, and Data Cleaning with CSV, Excel, and JSON

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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
The Phoenix Project: A Novel about IT, DevOps, and Helping Your Business Win

The Phoenix Project: A Novel about IT, DevOps, and Helping Your Business Win

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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
Amazon

atomic file write utility

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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 project management system

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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.

Implications of a File-Based, Local-First System

This architecture challenges the prevailing cloud-centric model of project management tools, emphasizing data ownership, portability, and resilience. By making the data portable and interoperable, Threlmark enables users to integrate with other tools, back up easily, and avoid vendor lock-in. The approach also simplifies collaboration across diverse environments, including offline or restricted networks, and facilitates automation by external agents without server dependencies. It represents a shift toward more transparent, user-controlled project data management.

Background on Threlmark’s Design Philosophy and Prior Work

Threlmark’s design builds on the idea that project roadmaps often fragment across multiple tools and formats, complicating prioritization and automation. The company previously developed a localStorage-based kanban tool called ‘Roadmap Lab,’ which scored feature cards and managed local data. The new system generalizes this concept into a multi-project hub, emphasizing open, portable data and flow management. The decision to use files as the source of truth stems from a desire to avoid server dependencies, ensuring that all data remains accessible, modifiable, and safe from data loss.

Prior to this, most project tools relied on centralized databases or cloud services, which pose risks of lock-in, data breaches, and dependency on network connectivity. Threlmark’s approach aims to empower users with full control over their project data, aligning with broader local-first and open data movements.

“The core idea is that the on-disk layout is the API, making data portable, restartable, and interoperable without a server or database.”

— Thorsten Meyer, Threlmark developer

Unclear Aspects of Implementation and Adoption

It is not yet clear how well this architecture scales with very large projects or teams, or how it performs under high concurrency scenarios. The long-term stability of the file-based approach in collaborative environments remains to be tested, especially when multiple external tools modify data simultaneously. Additionally, the user experience and ease of integration with existing workflows are still under development, and broader adoption will depend on community feedback and tooling support.

Next Steps for Threlmark and Community Engagement

Threlmark plans to release an early version for public testing, inviting feedback on usability and performance. Future developments include expanding external tool integrations, enhancing automation capabilities, and documenting best practices for managing large-scale projects with this architecture. The team will also monitor real-world usage to address scalability concerns and refine the system’s robustness in collaborative settings.

Key Questions

How does Threlmark ensure data safety without a database?

Threlmark employs atomic file writes—writing to a temporary file and then renaming it atomically—to prevent corruption. It also uses a read-merge-write pattern that preserves data integrity during updates, even with concurrent external modifications.

Can external tools modify Threlmark data without permission?

Yes, since the data is stored as plain files in a shared directory, any tool that can read and write these files can participate, allowing flexible collaboration without centralized permissions.

What are the advantages of using disk as the contract?

It makes data portable, restartable, and interoperable. Users can back up, migrate, and integrate with other tools easily, avoiding vendor lock-in and enabling offline or distributed workflows.

What challenges might arise from this architecture?

Scalability with very large projects and handling high concurrency are still untested. Ensuring consistent external modifications and user-friendly workflows are ongoing concerns.

Is this approach suitable for enterprise or team environments?

While promising for individual use and small teams, the system’s scalability and collaboration features need further development before it can be confidently recommended for large-scale enterprise deployment.

Source: ThorstenMeyerAI.com

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