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semantic architecture engine and guided methodology","maintainers":[{"name":"nabsha-ys","email":"nabsha@yarrasys.com"}],"readme":"# YarraMate\n\n[![npm](https://img.shields.io/npm/v/yarramate)](https://www.npmjs.com/package/yarramate)\n[![CI](https://github.com/yarrasys/yarramate/actions/workflows/ci.yml/badge.svg)](https://github.com/yarrasys/yarramate/actions/workflows/ci.yml)\n[![CodeQL](https://github.com/yarrasys/yarramate/actions/workflows/codeql.yml/badge.svg)](https://github.com/yarrasys/yarramate/actions/workflows/codeql.yml)\n[![license: MIT](https://img.shields.io/github/license/yarrasys/yarramate)](LICENSE)\n\n**[yarramate.dev](https://yarramate.dev)** ·\n[Case study](docs/CASE-STUDY-CROSS-HARNESS.md) ·\n[Documentation](docs/README.md)\n\nYour coding agents re-derive your system's design every session — and each\none derives it a little differently. The design document that could stop\nthem says whatever it said the day someone last edited it.\n\nYarraMate keeps the design as a small, checked model in git instead. Agents\nand people read prose rendered from it — bounded briefs and open design\nquestions — write decisions back through validated batches, and the CLI\nmechanically proves the model still matches the code as changes land.\n\nThere is no LLM inside and no service behind it: the engine is a\ndeterministic CLI, nothing leaves your repository, and git remains the only\ngovernance — a proposed change becomes architecture when a human merges it.\n\n> YarraMate is pre-release software. Interfaces may evolve before the first\n> stable release.\n\n## Two minutes to a model\n\n```sh\nnpm install -g yarramate\n\nyarramate init .                                 # scaffold .yarramate/, write the agent pointer\nyarramate design .yarramate/workspace.yaml       # the interview: the top open design question\nyarramate apply answers.yaml .yarramate/workspace.yaml   # answers land as one atomic batch\nyarramate check .yarramate/workspace.yaml        # names resolve and rules hold — or it says where not\n```\n\nThe whole surface is seven verbs, one per lifecycle stage:\n\n```text\ninit → design → apply → ask → check → reconcile → export\ncreate  fill    write   read  gate    drift       derive\n```\n\n`design` recomputes the next open question from the model itself — there is\nno session state anywhere. That is the design bet: the model, not the\nsession, is the state, so any agent in any harness resumes the interview\ncold, and a crashed session or a vendor switch costs nothing.\n\n## Every fact is a claim\n\nWhat you author — plain YAML in git:\n\n```yaml\nconcepts:\n  - id: order-gateway\n    kind: applicationComponent\n    name: Order Gateway\n    status: current\n```\n\nWhat the engine checks — a claim in the compiled graph, with provenance:\n\n```json\n{\n  \"subject\": \"orders#order-gateway\",\n  \"predicate\": \"yarramate/concept/kind\",\n  \"value\": \"yarramate/core@0.1#applicationComponent\",\n  \"origin\": \"declared\",\n  \"source\": { \"document\": \"orders\", \"line\": 3, \"column\": 5 }\n}\n```\n\nWhat an agent reads — deterministic prose rendered from the graph:\n\n> \"Order Gateway is an application component; it already exists in this\n> system.\"\n\nEvery sentence stands on claims, and every claim cites the file and line it\ncame from. The same YAML compiles to a byte-identical graph and the same\nsentence, every time. There is no other structure to learn: concepts,\nrelationships, statuses, owners, and evidence are all claims.\n\n## What structure buys\n\nThree things prose alone can't do — and deliberately the whole list:\n\n- **Identity** — a stable name every agent agrees on. References resolve or\n  the model doesn't compile; two sessions can't invent two names for the\n  same component.\n- **Verifiability** — internal consistency and drift against the code,\n  checked mechanically. A claim of \"current\" without supporting evidence is\n  flagged the moment it becomes checkable, and `reconcile` reports both\n  sides of every disagreement without auto-fixing either.\n- **Sliceability** — each implementer receives exactly its neighbourhood: a\n  bounded, deterministic brief rendered from the model, so parallel agents\n  share one map.\n\nAnything a good document does as well, we leave to your documents. The model\nholds only what nothing can derive from code: what's planned, what was\ndeliberately retired, who owns what, and why.\n\n## Proven across harnesses\n\nWe tested the handover bet adversarially on a real product: a Claude Code\nsession worked the design interview all day, then an OpenAI Codex session —\nno shared context, the tool never named in the prompt — resumed it from a\nten-line pointer file and the published CLI. It answered 63 open design\nquestions, filed two genuine defect reports, and in a later session reported\nthat the model \"was not merely documentation\" — it caught an approval-path\nregression before the release shipped.\n\nThe full story, with every commit, PR, and release attached:\n[The model is the handover](docs/CASE-STUDY-CROSS-HARNESS.md).\n\n## Research, honestly\n\nWe benchmark our own claims and publish the misses alongside the wins:\n\n- **Held** — cross-harness handover; elicitation (tool-equipped agents\n  across three model tiers reached a green check first try, 5/5, and\n  converged on a design question zero freehand frontier runs ever asked);\n  lie resistance (five builds from deliberately corrupted models — zero\n  lies reached code).\n- **Not held** — under a strong external spec, a checked model did not\n  measurably beat a good design document on build convergence. We ran that\n  experiment and published it.\n\nResults with full transcripts, diffs, and the adjudication trail:\n[docs/research/context-benchmark](docs/research/context-benchmark) and\n[yarramate-bench-results](https://github.com/yarrasys/yarramate-bench-results).\n\nAnd honestly: maintaining a model is rent. Two things make it payable —\nagents do most of the authoring through the interview loop, and the engine\ntells you exactly what's missing instead of leaving completeness to\ndiscipline. It pays when more than one agent, session, or human has to\nshare the same map.\n\n## For AI agents\n\nIf you are an agent working in a repository with a `.yarramate/` workspace,\norientation is one call and the loop is three:\n\n```sh\nyarramate ask .yarramate/workspace.yaml      # verdict, drift summary, backlog — one round-trip\nyarramate design .yarramate/workspace.yaml   # the top open design question + its model slice\n# answer with an operations batch, then:\nyarramate apply operations.yaml .yarramate/workspace.yaml\n```\n\nRe-run `design` for the next question. Stop with an uncommitted, reviewable\ndiff — merging is the human acceptance step, not yours.\n\n- Every command takes `--json` and returns a versioned, schema-backed\n  envelope; writes are atomic batches that compile as a whole workspace or\n  are rejected outright, so you cannot half-corrupt a document.\n- `ask` accepts free text (`yarramate ask <ws> \"billing\"`), `--subjects`\n  for the full roster, `--where` for evidence-backed pointing, and\n  `--changed <git-range>` for review slices.\n- `export rtm <ws> --out <dir>` derives the requirements traceability\n  matrix: every requirement traced to its motivation, realizers, evidence\n  verdicts, and attestations, with a `path:line` citation per cell.\n- `init` writes the discovery pointer into both `AGENTS.md` and\n  `CLAUDE.md`, so this section finds you rather than the reverse.\n- `yarramate-mcp` exposes the whole loop over MCP stdio: `yarramate_ask`,\n  `yarramate_design`, `yarramate_apply`, `yarramate_check`,\n  `yarramate_reconcile` and `yarramate_export`. Every tool call runs the same\n  CLI; `apply` is the one write and lands the same atomic batch. Start it\n  inside the repository, or anywhere with `--workspace <path>`, and the\n  `workspace` argument becomes optional (#514).\n- In Claude Code, this repository is its own plugin marketplace:\n\n  ```sh\n  /plugin marketplace add yarrasys/yarramate\n  /plugin install yarramate-architecture@yarramate\n  ```\n\nThe full agent contract is [docs/AGENT-INTERFACE.md](docs/AGENT-INTERFACE.md).\n\n## Product boundaries\n\nYarraMate Core owns native, versioned architecture documents; compiles a\nclaim-centred, tool-neutral semantic graph; checks deterministic correctness\nrather than architectural taste; supports explicit workspaces, profiles,\nprojections, evidence, and architecture states; and exposes a stable CLI for\npeople, CI, skills, and agent harnesses.\n\nOptional adapters provide LikeC4 visualization from semantic projections,\nGraphify observations as evidence overlays, and a visual editor that\nrenders the native model and lands reviewer edits through the same\nvalidated `apply` batch (beta). The editor runs two ways: as the\nloopback-only session `yarramate-visual start` serves, or mounted inside\nanother product from `yarramate/visual-app`, over a store that product\nowns, with no Node process behind it. Core depends on none of them.\n\nYarraMate's core profile implements the ArchiMate® 3.2 element vocabulary\nand relationship table: a relationship between two kinds is valid exactly\nwhen the table permits it. The custody layer YarraMate adds - evidence,\nattestations, lifecycle status, ownership, architecture states - is\nannotation that never changes what an ArchiMate element or relationship\nmeans (ADR 0097).\n\nYarraMate is not affiliated with or certified by The Open Group. ArchiMate®\nis a registered trademark of The Open Group. LikeC4 and Graphify are\nindependent projects; their mention does not imply affiliation or\nendorsement.\n\n## Development\n\nRequirements: Node.js 22 or newer, Corepack.\n\n```sh\ncorepack enable\npnpm install --frozen-lockfile\npnpm run verify\n```\n\nThe full CI command runs typechecking, tests, native self-validation, LikeC4\ngeneration, and LikeC4 validation. Useful focused commands: `pnpm build`,\n`pnpm test`, `pnpm typecheck`, `pnpm self:check`, `pnpm self:reconcile`,\n`pnpm self:check:likec4`, `pnpm docs:dev`.\n\n```text\nsrc/                 compiler, CLI, graph, and adapter sources\nschema/              normative JSON Schemas\ntest/                tests and acceptance fixtures\nskills/              portable architecture workflow for agent harnesses\n.claude-plugin/      plugin marketplace manifest offering that skill\ndocs/                contracts, guides, and decisions\n.yarramate/          canonical dogfooded architecture\n.yarramate-out/      reproducible generated output (ignored)\n```\n\nWhen developing the repository, build and invoke the same executable\nsurface: `pnpm build`, then `node dist/cli.js <verb> …` mirrors every\ncommand above. For a local consumer test:\n\n```sh\npnpm pack --pack-destination /tmp/yarramate-package\nnpm install --global /tmp/yarramate-package/yarramate-*.tgz\nyarramate --help\n```\n\nThe [documentation index](docs/README.md) links the public guides and\nmaintainer material. Start semantic work with the\n[product contract](docs/PRODUCT-CONTRACT.md) and\n[glossary](docs/GLOSSARY.md). See\n[Consuming YarraMate](docs/CONSUMING-YARRAMATE.md) for the packaged CLI,\nschemas, agent skill, and optional adapters.\n\n## Library API\n\nThe typed library exposes the same deep compiler seam:\n\n```ts\nimport { compileWorkspace } from 'yarramate'\n\nconst result = compileWorkspace([\n  { path: 'architecture.yaml', source: yamlSource },\n])\n```\n\n`compileWorkspaceWithProfileContext` additionally returns resolved profile\nlineage for operations that explicitly require kind ancestry. Graph v2\nremains the stable, graph-only interchange result.\n\n`compileWorkspaceIncremental(sources, previous)` is the entry point for a\nconsumer that recompiles a whole workspace on every write. It returns the\nsame result plus an opaque `cache` to hand back on the next call, and\nre-parses only the sources whose text changed; `incremental: false` reports\nthat it fell back to a full compile. Reuse is decided by source-text\nequality, so a stale cache costs work but never changes output.\n\nNormative schemas are available through package exports such as\n`yarramate/schema/document`, `yarramate/schema/workspace`,\n`yarramate/schema/graph-v2`, `yarramate/schema/projection`,\n`yarramate/schema/evidence`, and `yarramate/schema/core-contract`. Optional\nadapter entry points are exported from `yarramate/adapter/likec4` and\n`yarramate/adapter/graphify`.\n\n## Contributing and security\n\nFound a bug, confusing behaviour, missing capability, documentation problem,\nor possible improvement? Please\n[open a GitHub Issue](https://github.com/yarrasys/yarramate/issues/new).\nIssues are welcome from users, contributors, agents, and curious observers.\nYou do not need to provide a solution, formal proposal, or implementation.\n\nRead [CONTRIBUTING.md](CONTRIBUTING.md) before proposing changes to native\nsemantics or stable interfaces. Report suspected vulnerabilities according to\n[SECURITY.md](SECURITY.md). Participation is governed by the\n[Code of Conduct](CODE_OF_CONDUCT.md), and help channels are described in\n[SUPPORT.md](SUPPORT.md).\n\nYarraMate is available under the [MIT License](LICENSE).\n","readmeFilename":"README.md"}