Scope relationship between AGENTS.md and workspace.json — request for a joint statement
Nessuno ha ancora preso questa issue.
Valutazione
- Difficoltà
- 5/5
- Tempo stimato
- Più di una settimana
- Idoneità per principianti
- 25/100
- Tipo di issue
- Documentazione
- Chiarezza
- Da chiarire
- Stato di attività
- Tranquilla
- Stack tecnologico
- json, markdown
- Ambito
- documentation
Direzione di ricerca
Read the AGENTS.md README and its related-projects section, then the linked issues #3, #71, #106, #166 and the AAIF proposal #27 to see the unresolved machine-generated context gap. The ask is a short, mutually acknowledged scope statement distinguishing human-authored AGENTS.md from tooling-written .agents/agents.workspace.json. Done means maintainers and the workspace.json author agree on wording and it is linked from both projects' docs; no normative change to AGENTS.md is proposed.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
I'm the author of workspace.json, an open spec for machine-generated codebase intelligence. I'm filing this issue because the AAIF Technical Committee, in declining workspace.json for foundation intake (aaif/project-proposals#27), explicitly assigned this coordination as the first prerequisite for a future resubmission: workspace.json should not propose itself as a sibling to AGENTS.md without the AGENTS.md community having been in the conversation about how those files relate. This is that conversation.
The gap this addresses
Reading through the 73 open issues here, one thing is absent from every proposal: a principled treatment of machine-generated context. Issues #106, #71, #3, and #166 all gesture at structured or writable agent context, but every proposal assumes a human author. No existing proposal addresses what happens when CI tooling, a behavioral daemon, or the agents themselves write structured codebase state into the repo.
workspace.json is specifically that artifact.
What workspace.json is (and isn't)
workspace.json is a JSON file placed at .agents/agents.workspace.json (v0.3 schema) and committed to version control. It is descriptive — it records what is currently true about a codebase, generated by tooling, not written by humans:
- Fragility scores per file (derived from revert/fixup density in git history)
- AI attribution signals (which files have high AI-generated change ratios)
- Co-change clusters (files that move together under behavioral observation)
- Session learnings (patterns surfaced across AI coding sessions)
- Health metadata (schema version, generation timestamp, staleness signal)
What it explicitly is not: instructions, rules, permissions, or behavioral directives. Those belong in AGENTS.md.
The relationship as we've defined it:
| File | Role | Author | Updates |
|---|---|---|---|
AGENTS.md |
Prescriptive — what agents should do | Human | Human commits |
agents.workspace.json |
Descriptive — what is currently true | Tooling / CI | Automated |
They compose naturally: an agent reads AGENTS.md to understand how to behave, then reads agents.workspace.json to understand what the codebase actually looks like right now. Neither file duplicates the other's role.
Current adoption
jnuyens/gsd-plugin v2.42.3 (released May 10) is the first independent consumer — a Claude Code plugin by Jasper Nuyens, unaffiliated with Vreko, that reads workspace.json to surface codebase intelligence directly in Claude Code sessions.
The specific ask
A mutually-acknowledged scope statement — a short, agreed-upon description of how AGENTS.md and workspace.json are orthogonal and composable — that can be referenced in both projects' documentation. I'm not asking for normative changes to AGENTS.md, for workspace.json to be referenced prescriptively, or for any merge of the two concepts.
The form is up to this community: a paragraph in the README, a comment from maintainers acknowledging the distinction, a link in the related projects section of agents.md. I'll work with whatever fits here. If it's useful, I'm happy to draft a PR against the README with proposed language for maintainers to accept, reject, or modify.
Why this matters for AGENTS.md specifically
The open issues touching machine-generated data (#3, #71, #106, #166) currently have no resolution path because the format has no answer for "what if the agent didn't write this, tooling did?" A clear scope boundary gives AGENTS.md a principled answer: AGENTS.md is the human-authored prescriptive layer; machine-generated descriptive state has its own artifact. That separation keeps AGENTS.md's simplicity intact while allowing the ecosystem to grow.
Links
- Spec: https://workspacejson.dev
- GitHub org: https://github.com/workspace-json
- AAIF proposal (for context): https://github.com/aaif/project-proposals/issues/27
- Reference implementation: https://vreko.dev
- Lingua principale
- TypeScript
- Stelle
- 24.8k
- Fork
- 1.9k
- Metriche di merge delle PR
- Nessuna PR unita negli ultimi 30g
Preparare l'ambiente
Questo progetto non fornisce container di sviluppo, Dockerfile né guida per i contributori, quindi l'ambiente è a tuo carico: parti dal suo README e consulta la nostra guida al primo contributo per i passaggi generali.
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
Altre issue di agentsmd/agents.md
-
Difficoltà 1/5 Meno di un'ora Idoneità per principianti 75/100
-
openai/codex & PlutoLang/Pluto removed AGENTS.mdForse di nuovo libera @vincedprime l’ha presa 36 giorni fa e non c’è nessuna pull request aperta. Aperta
Difficoltà 1/5 Meno di un'ora Idoneità per principianti 78/100
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 72/100
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 68/100
-
Difficoltà 1/5 Meno di un'ora Idoneità per principianti 68/100
Tutte le issue di agentsmd/agents.md
Issue simili
-
idea-scout idea:453
Difficoltà 2/5 1-3 ore Idoneità per principianti 83/100
jeanibarz/agent-notebook#453 ·
I maintainer di solito rispondono entro 1 giorno
-
level/task
Difficoltà 1/5 Meno di un'ora Idoneità per principianti 95/100
wazuh/wazuh-dashboard-plugins#9642 ·
I maintainer di solito rispondono entro 1 giorno
-
bug
Difficoltà 2/5 1-3 ore Idoneità per principianti 91/100
unicef/adt-studio#1112 ·
I maintainer di solito rispondono entro 2 giorni
-
feature request good first issue
Difficoltà 2/5 1-3 ore Idoneità per principianti 88/100
TabularisDB/tabularis#1513 ·
I maintainer di solito rispondono entro 2 giorni
-
Autocomplete still accepts an option after becoming disabledForse già presa @Xapollon430 l’ha presa oggi. Aperta
Difficoltà 2/5 1-3 ore Idoneità per principianti 67/100
I maintainer di solito rispondono entro 1 giorno