TL;DR
Threlmark has been presented as an open-source, MIT-licensed roadmap tool built around a plain JSON file stored on the user’s disk. Its central claim is that the file, not a SaaS database or API, acts as the shared contract for the kanban board, tools and automated agents.
Threlmark, an open-source roadmap tool released under the MIT license, has been presented with a local-first design that stores a project roadmap as a plain JSON file on the user’s disk, a choice its creator frames as a way to reduce vendor lock-in and let tools and agents work from the same project plan.
The Day 7 dispatch from Thorsten Meyer AI says Threlmark’s kanban board is a view over a file named as the roadmap contract, rather than a roadmap stored behind a hosted database or proprietary API. The source material states that humans, external tools and automated agents can read and write the same JSON file directly.
The product is described as a scored kanban system. Each roadmap item carries a priority score, which the dispatch says is meant to turn a backlog into a ranked plan rather than a flat list of tasks. The example board includes backlog, doing and done lanes, with scored items such as imports, exports, validated ideas and shipping work.
Threlmark is also positioned inside a wider “decision layer” portfolio. In the source material, IdeaClyst produces verdicts, while Threlmark is described as the place where those verdicts become ordered work items. The dispatch says the project is available at threlmark.com and is provided under MIT terms “as is” without warranty.
Threlmark — disk is the contract
The roadmap is a plain JSON file on your disk. The board is just a view over it — and your tools and your agents read and write the same file directly.
Independent commentary, produced with AI assistance under human editorial oversight. The views are the author’s own and may change. Threlmark is open source under MIT, provided “as is” without warranty; see the repository LICENSE. Automated agents that read and write the roadmap file may introduce errors — treat agent writes as changes to review, not facts to trust. Product and company names are trademarks of their respective owners; mention does not imply endorsement.
Local Files Challenge SaaS Roadmaps
The announcement matters because roadmap tools often make the application the gatekeeper for project data. Threlmark’s approach puts the roadmap in a format many programs can read without a vendor account, SDK, rate limit or hosted service dependency.
For teams using automation, the design could make a roadmap easier for agents to inspect and update. That benefit is a product claim from the source material, not an independently verified performance finding. The dispatch also warns that agent-written changes should be reviewed, since automated updates may introduce errors.
The scoring model adds another practical point: priority is represented as data. If adopted consistently, that could make trade-offs clearer for operators who need to choose between competing work items. The source frames this as “edit by subtraction,” meaning lower-ranked work is less likely to move forward.
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Day Seven In A Product Series
Threlmark appears in the source material as Day 7 of a 19-day Built in Public series tied to the Thorsten Meyer AI operator portfolio. The dispatch describes an 18-product constellation sharing local-first and provider-agnostic ideas.
The specific link in this installment is IdeaClyst to Threlmark: decisions from one tool become scored roadmap entries in the other. The source material says the broader thesis is that operational artifacts should be plain files or open formats where possible, rather than records locked inside a single vendor’s system.
The dispatch also discloses that the commentary was produced with AI assistance under human editorial oversight, and that views are the author’s own and may change.
“The roadmap is a plain JSON file on your disk.”
— Thorsten Meyer AI dispatch
local JSON roadmap software
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Schema Details Remain Limited
The source material does not provide the full JSON schema, installation steps, version number, contributor model or release cadence. It is also unclear how Threlmark handles concurrent edits, file validation, merge conflicts, permissions or audit history when multiple tools or agents write to the same roadmap.
The dispatch states the product is open source under MIT, but the source excerpt does not include repository activity, maintainer information or third-party adoption data. Any claims about durability, interoperability or agent usefulness remain product claims until tested in real workflows.
kanban board software with JSON export
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Repository And Schema To Watch
The next practical milestone is the public review of Threlmark’s implementation details: the roadmap file shape, validation rules, agent write patterns and how the UI handles edits made outside the app. Readers evaluating the tool should also check the MIT license, repository status and any examples showing real project usage.
The Built in Public series is set to continue beyond Day 7, so additional links between Threlmark and the wider operator portfolio may clarify how roadmap items move from idea scoring to execution tracking.
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Key Questions
What is Threlmark?
Threlmark is described as an open-source, MIT-licensed roadmap and scored kanban tool that stores the roadmap as a plain JSON file on the user’s disk.
What does “disk is the contract” mean?
It means the shared source of truth is the local roadmap file and its structure. The UI, outside tools and agents are expected to read or write that same file rather than work through a hosted API.
Is Threlmark a SaaS product?
The source material presents Threlmark as local-first and says there is no SaaS API for the roadmap contract. The excerpt does not give full hosting, packaging or deployment details.
What remains unconfirmed?
The public excerpt does not confirm the full schema, release version, repository activity, sync model, conflict handling or adoption by outside teams.
Why would teams care about a JSON roadmap file?
A local JSON file can be read by many tools, versioned, inspected in a text editor and reused outside one vendor’s product. The source presents this as a way to reduce lock-in, while warning that automated edits still need review.
Source: Thorsten Meyer AI
