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Detects TS/JS and PHP/Laravel stacks, monorepos, API surface, and data models.","maintainers":[{"name":"gionas","email":"gionas@outlook.com"}],"readme":"# Archmantic\n\n**A living, *trustworthy* architecture model your whole team — and your AI agents — share.**\n\nPoint Archmantic at a repo and it reverse-engineers a single grounded **architecture model** (the IR). Every diagram is a *projection* of that one model, every element is traceable to `file:line`, and the same model answers your agent's questions over MCP. No drift between views, no ungrounded \"AI diagram\" guesswork.\n\n> Status: **v1.19.3** — published as [`archmantic`](https://www.npmjs.com/package/archmantic). Dependency-light TypeScript CLI, dogfooded on this repo. Node 20+ · TypeScript 6 · NodeNext.\n> _Note: the `amt` short alias was removed in 1.12.0 (it collided with a system binary on macOS) — use `archmantic` / `npx archmantic`._\n\n---\n\n## Why it's different\n\nMost tools pick one camp: agent code-graph tools emit symbols/calls (no human view, no business semantics), and diagram tools draw pretty pictures you can't trust or query. Archmantic does the parts both camps miss:\n\n- **Capability map** — plain-English \"what can this system do?\", for PMs/architects/new hires, not just engineers.\n- **Business-process view** — auto-detected from code, rendered as an interactive React Flow graph. White space nobody else occupies.\n- **Provenance + confidence** — every element shows \"grounded in N refs\" and a confidence band; low-confidence is flagged. Verifiable, not plausible.\n- **Drift detection** — \"your committed model vs. the code\" diff.\n- **PR architecture diff** — how a change reshapes the architecture (not a line diff), postable as a PR comment.\n- **Architecture history** — how the system's shape evolved, commit by commit.\n- **Data model (ERD)** — entities, fields, and relations parsed from your Prisma schema, Drizzle tables, SQL `CREATE TABLE` migrations, or **Laravel migrations** (`Schema::create`, foreign keys, `resource`-style relations), grounded to `file:line` and projected as an interactive ERD (React Flow in the web; field tables in the CLI's HTML viewer). Laravel framework scaffolding tables (cache/jobs/sessions…) are filtered out.\n- **Schema-drift check** — `archmantic db-check` compares your Laravel migrations against the **live database** (MySQL/PostgreSQL/SQLite, from `.env` `DB_*`) and reports tables/columns that exist in one but not the other. Opt-in only — it's the one command that connects to a DB and reads credentials; nothing it reads is persisted. `--check` exits 1 on drift (CI gate). DB drivers are optional deps (SQLite uses Node's built-in `node:sqlite`, which needs **Node 22.5+** — everything else runs on Node 20+).\n- **API surface** — REST routes (Next.js App Router/Pages, Express/Fastify/Koa/Hono, **NestJS** `@Controller`/`@Get` decorators, **Laravel** `routes/*.php` incl. prefix groups + `resource`/`apiResource`), tRPC procedures, and GraphQL operations, grounded to `file:line` — the contract layer for humans and agents.\n- **Polyglot, multi-framework** — TypeScript/JavaScript **and** PHP/Laravel; frontends in **React, Vue/Inertia** (`.vue` SFCs), plus **Blade** templates and **Livewire** components. Components are role-classified (page/route/ui/layout/view/model/…) and the tech stack is detected from `package.json` **and** `composer.json` — the **curated stack** (framework/UI/DB/ORM/auth/…) plus the **full runtime library list** (every `dependencies`/`require` entry, shown under a collapsible \"Libraries\" in the web Overview).\n- **Monorepo aware** — analyzes npm/yarn/pnpm **workspaces** (and `apps/*`/`packages/*` by convention) as one model, tagging every component, endpoint, and entity with its owning package; the web groups Components & API by package.\n- **Multi-repo auto-linking** — across an org's repos, classifies cross-service links as connected, **inferred** (detected coupling not yet declared), or **dangling** (declared dependency on a repo that isn't there — a real gap).\n- **Project brain** — a human-authored manifest (`.archmantic/project.json`: goal, status, author, links, and the **agent team** auto-detected from `.claude/agents/`) merged into the model. Agents read the *why*, not just the structure, via MCP `get_project`; it leads the knowledge file and the web project page (with author attribution).\n- **Feature layer** — user-perspective features (`what it shows · user actions · depends-on · components`), authored as git-versioned `.archmantic/features/*.md` and seeded bottom-up from pages/routes (drafts you refine). Surfaced via MCP `list_features`/`get_feature`, the CLI `feature` command, and a web Features facet.\n- **Intent compiler (edit-then-build for the spec)** — edit a feature's description (e.g. \"Home must have a vendors section\") and `archmantic feature sync` (BYOK) compiles it: fills `shows`/`actions`/`dependsOn`, **creates** the implied `Vendors` feature, and wires the dependency — written back as feature files for review. Agents can run it over MCP (`sync_features`).\n- **Behavior flows per feature** — each feature gets a sequence derived from its component subgraph (page → components it renders → services it calls), grounded to `file:line`. This makes sequence/process views meaningful for web apps (Next/Laravel/Vue), where a single entry-point chain doesn't exist. Shown in the feature detail, the Sequence diagram, and MCP `get_feature`.\n- **Feature editing, two ways (repo files stay the source)** — edit locally (`archmantic edit`, writes the files directly) **or** in the hosted web app (saves to the cloud). `archmantic feature pull` writes hosted edits into `.archmantic/features/*.md`, and the MCP server auto-pulls them on startup — so web edits flow into the repo without webhooks (the hosted app can't reach your disk).\n- **Skills (on-shelf, model-resolved)** — a catalog of reusable playbooks (API review, safe migrations, payment-integration audit, Laravel test scaffolding, …) that Archmantic **ranks against the grounded model**: it surfaces the *right* skill for this repo and cites *why* (e.g. \"Laravel detected\", \"Stripe dependency\"). Supply has three layers — builtin, local `.archmantic/skills/*.md`, and remote pulled on demand (`archmantic skill add <url>`). Surfaced via MCP `suggest_skills`/`list_skills`/`get_skill` and the CLI `skill` command. Skills are data — recommended, never auto-executed; the agent decides whether to apply one.\n- **Agent knowledge file** — auto-generates & keeps `AGENTS.md` in sync from the model (managed block), so even agents that don't speak MCP get accurate, drift-free project context.\n- **One model → many audiences** — C4-style context, components, per-feature sequences, the business process, an ERD, capability list, and an MCP surface for agents. The **web renders every graph interactively with React Flow (`@xyflow/react`)** — pan/zoom, click-through, role coloring, real sequence diagrams (lifelines + activation bars); the CLI ships a dependency-light self-contained HTML viewer (`archmantic view`).\n- **Token savings** — agents query the model over MCP instead of reading whole files (~98% fewer tokens on this repo, by the built-in benchmark).\n- **Usage stats** — every MCP tool call is recorded with the tokens it saved, plus **model pushes** (each `push`/`sync` is tracked too); `archmantic usage` and the web `/usage` dashboard prove the model is earning its keep (and meter agent + push activity).\n\n## Quickstart\n\nNo install needed — run it straight from npm:\n\n```bash\nnpx archmantic analyze     # reverse-engineer the model → .archmantic/model.json\nnpx archmantic view        # capability map + diagrams + trust report → .archmantic/view.html\nnpx archmantic bench       # token-savings benchmark (MCP vs raw file reads)\n```\n\nOr install the CLI globally:\n\n```bash\nnpm install -g archmantic\narchmantic analyze\n```\n\n**From source** (for contributors):\n\n```bash\nnpm install && npm run build\nnode dist/cli.js analyze\n```\n\n## Commands\n\n| Command | What it does |\n|---|---|\n| `init [name]` | Create an empty `.archmantic/model.json` (+ a `project.json` brain) |\n| `project [--init]` | Scaffold/show the project brain (`.archmantic/project.json`: goal, author, links; agents auto-detect from `.claude/agents/`) |\n| `feature [list\\|show <name>\\|seed\\|sync [name] [--write]]` | User-perspective features; `seed` writes draft files; `sync` is the BYOK intent compiler (edit a description → create/update related features) |\n| `skill [suggest\\|list\\|show <name>\\|add <url>]` | On-shelf skills ranked against the model (`suggest`), the full shelf (`list`), a playbook (`show`), or pull a remote skill (`add`) |\n| `curate` | BYOK AI pass: name domains in product language + write descriptions and a positioning narrative → `.archmantic/curation.json` (or let your own agent do it over MCP via `curate`) |\n| `publish [--ai]` | One command to refresh the web: analyze → (`--ai`: curate) → push |\n| `edit [--port N]` | Local web feature editor — saves write `.archmantic/features/*.md` (repo files = source) |\n| `feature pull` | Fetch hosted-editor feature edits from the cloud → `.archmantic/features/*.md` (org-token scoped) |\n| `db-check [--check]` | Compare Laravel migrations vs the live DB (`.env` `DB_*`; MySQL/Postgres/SQLite); `--check` exits 1 on drift |\n| `analyze [--tier N]` | Reverse-engineer the model. `--tier 2` adds the LLM semantic pass (BYOK) |\n| `update [--hook]` | Incrementally re-analyze only what changed (git-diff driven). `--hook` prints a pre-commit hook |\n| `view` | Capability map, diagrams, and trust report; writes a self-contained `view.html` |\n| `spec` | Emit an agent-ready **build spec** (`build-spec.md` + `.json`) from the model |\n| `knowledge` | Refresh `AGENTS.md` agent-context file (managed block; also auto-written on `analyze`/`update`) |\n| `handoff [--apply] [--check \"<cmd>\"]` | Run the build spec through Claude (Opus 4.8, BYOK) → an implementation plan; **`--apply`** runs an autonomous agent loop that edits the repo **and self-verifies** (runs build + tests, fixes failures until green). Commit first; review with `git diff`. |\n| `drift [--check]` | Compare the committed model vs. the code; `--check` exits 1 on drift (CI gate) |\n| `diff [<ref>]` | Architecture diff from a git ref → working tree; writes PR-comment-ready `pr-diff.md` |\n| `log [-n N]` | Architecture history: how the architecture changed per commit |\n| `system [name] --repos a,b,c` | Unified cross-service view across multiple repos (microservices / split front-back). Declare links per repo in `.archmantic/config.json` → `{ \"system\": \"...\", \"consumes\": [\"other-service\"] }` |\n| `mcp` | Start the MCP server exposing the model to AI agents (stdio) |\n| `bench [--exact]` | Token-savings benchmark; `--exact` uses the Anthropic token counter (BYOK) |\n| `usage [--sync]` | MCP usage + token savings from the local log; `--sync` pushes it to the team cloud (web `/usage`) |\n\n## How it works\n\n**Model-first.** Archmantic builds a canonical [Architecture Model (IR)](docs/ARCHITECTURE.md); diagrams and the MCP API are projections of it — so the views never drift apart.\n\n**Tiered analysis, cheapest-first:**\n\n| Tier | What | Cost |\n|---|---|---|\n| 0 | Repo structure & manifests → systems, components | free |\n| 1 | TS/JS static analysis (TypeScript compiler API) → import/dependency graph | cheap, deterministic |\n| 1.5 | Structural derivation → capabilities (exports), per-feature behavior flows (entry-point chain for CLIs) | deterministic |\n| 2 | LLM semantic pass — Haiku for summaries, Opus for flow synthesis | metered tokens, opt-in (BYOK) |\n\n**Provenance invariant:** every derived element carries `provenance` (`file:line`) and `confidence`. The LLM pass only *refines prose and raises confidence* on already-grounded elements — it never invents structure. Nothing ungrounded gets in.\n\n## Use it with your AI agent (MCP)\n\n**Claude Code — install the plugin** (auto-registers the MCP server *and* ships a skill so the agent reaches for the model on its own, instead of reading files):\n\n```bash\n/plugin marketplace add mgionas/Archmantic\n/plugin install archmantic@archmantic\nnpx archmantic analyze        # build .archmantic/model.json once per repo (commit it)\n```\n\nRecommended: add `{ \"permissions\": { \"allow\": [\"mcp__archmantic__*\"] } }` to your `.claude/settings.json` to skip the per-tool prompt. See [`plugin/`](./plugin/) for details and a reads-only variant.\n\n**Manual / other hosts** — register the server directly:\n\n```bash\narchmantic analyze                            # build .archmantic/model.json (once)\nclaude mcp add archmantic -- npx archmantic mcp   # Claude Code; or add to mcpServers (Desktop/Cursor)\n```\n\n> `archmantic mcp` is a **long-running stdio server**: your agent launches it on demand, talks over stdin/stdout, and shuts it down afterward — it stays running while connected (by design, not a hung process). Run it by hand and it prints a notice and waits; `Ctrl-C` to stop.\n\nOnce connected your agent can:\n\n- **Read** the model: `get_architecture_map` (the high-level domain map + positioning narrative), `get_project` (the goal/owner/agent-team brain), `list_features`/`get_feature` (user-perspective features), `get_context`, `search_capabilities`, `get_component`, `get_process`, `get_sequence`, `get_data_model`, `get_api_surface`, `whats_related`, `list_components`.\n- **Curate (your agent, your tokens)**: `curate` writes the human layer — product-language domain names/descriptions and a positioning narrative — into `.archmantic/curation.json` (committed, merged into the model). Archmantic doesn't run an LLM; your agent does the curation as it works.\n- **Skills**: `suggest_skills` ranks the on-shelf playbooks against this project (with grounded reasons), `list_skills` shows the whole shelf, and `get_skill` returns one skill's full playbook to apply.\n- **Cross-repo**: `suggest_links` compares this repo against your org's other repos and proposes links to declare (inferred) or fix (dangling) in `.archmantic/config.json`.\n- **Write/keep it live:** `refresh` (re-analyze from disk), `sync` (re-analyze **and push to the team cloud**, org-scoped), `sync_features` (run the BYOK intent compiler over the authored features), and `curate` (write the domain names/descriptions/narrative). So when you ask the agent to change something, it can update the shared architecture model in the same flow — no manual `push`. The server also auto-pulls hosted feature edits on startup.\n\nThe MCP server reads credentials from `.env.local` (so `sync` uses your `ARCHMANTIC_TOKEN`). Every tool call is recorded with the tokens it saved — see `archmantic usage` or the web `/usage` dashboard. This repo also ships a project [`.mcp.json`](.mcp.json) for working on Archmantic itself.\n\n## Team cloud knowledge (shared model)\n\nShare the architecture model across a team. `push`/`pull`/`cloud-log` work in **two modes**:\n\n```bash\nnode dist/cli.js push       # upload the model under the current commit\nnode dist/cli.js pull       # fetch the team's latest shared model into .archmantic/\nnode dist/cli.js cloud-log  # list the per-commit snapshots in the cloud (direct mode)\n```\n\n| Mode | Auth | For |\n|---|---|---|\n| **Self-host (free)** | `DATABASE_URL` in `.env.local` — writes Neon directly | OSS users / your own infra |\n| **Managed SaaS** | `ARCHMANTIC_TOKEN` (+ `ARCHMANTIC_API_URL`) — pushes through the platform's authenticated, **org-scoped** API | teams / customers |\n\nMint a SaaS token from the web app's **Settings** page (signed in, in your org); it tags every push with your organization, so customers never hold the raw database URL. The committed `.archmantic/model.json` stays the source of truth; the cloud holds a **per-commit history** powering the team timeline and the web viewer.\n\n## CI: architecture diff on every PR\n\nA reusable GitHub Action comments on each PR with the **architecture-level** delta — new/removed components, capabilities, data-model entities, and external systems — not a line diff. It posts a single sticky comment and updates it on every push.\n\n```yaml\n# .github/workflows/architecture-diff.yml\nname: Architecture diff\non: pull_request\npermissions:\n  contents: read\n  pull-requests: write\njobs:\n  diff:\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions/checkout@v4\n        with:\n          fetch-depth: 0 # so the base ref can be analyzed\n      - uses: mgionas/Archmantic@v1 # the reusable action (action.yml)\n```\n\nInputs: `base-ref` (default: the PR base branch), `working-directory` (default `.`), `version` (default `latest`), `comment` (default `true`), `github-token` (default `${{ github.token }}`). It runs `archmantic diff` under the hood, so no install step is needed.\n\n## Tier 2 (LLM) & credentials\n\nThe LLM pass (`analyze --tier 2`) and `bench --exact` are **BYOK** and gated. Authenticate either way:\n\n- **API key** — set `ANTHROPIC_API_KEY` in `.env.local` (gitignored), or\n- **CLI login (OAuth)** — `ant auth login` (the Anthropic CLI); Archmantic picks up the session token automatically.\n\nWithout a credential, those paths skip gracefully and everything else runs fully offline.\n\n## Web platform (`web/`)\n\nAn interactive architecture viewer over the shared Neon store — Next.js (App Router), deployable to Vercel. Graphs render with `@xyflow/react` (pan/zoom, click-through); features are **editable in-app** (saved to the cloud, pulled to the repo with `archmantic feature pull`). The hosted app can't reach your disk, so repo files stay the source of truth.\n\n```bash\ncd web\nnpm install\necho 'DATABASE_URL=\"<your Neon URL>\"' > .env.local   # same URL as the CLI\nnpm run dev        # http://localhost:3000 — project list + capability map + trust\n```\n\nDeploy: import `web/` as the Vercel project root and set `DATABASE_URL` as an environment variable. Pages are server-rendered on demand (no build-time DB access).\n\n## Roadmap\n\nShipped and dogfooded: the tiered analyzer, **team cloud knowledge** (`push`/`pull`, per-commit history), the CI architecture-diff bot ([included](.github/workflows/architecture-diff.yml)), the web platform with **fully interactive `@xyflow/react` diagrams** (context, components, ERD, per-feature sequence & process decks), the **spec layer** (project brain → feature layer → intent compiler → feature-scoped flows), and **feature editing** both locally (`archmantic edit`) and in the hosted app (cloud → `feature pull` / MCP auto-pull). Polyglot detection covers TS/JS and PHP/Laravel (incl. NestJS, Vue/Inertia, Blade/Livewire) and monorepos.\n\nNext candidates: a hybrid cloud store (content-hash dedup / delta history) once model sizes warrant it, OpenAPI-spec ingestion, richer conflict handling for hosted edits, and deeper multi-tenant/RBAC for Enterprise. See [`docs/ROADMAP.md`](docs/ROADMAP.md) for the running log, and [`docs/ARCHITECTURE.md`](docs/ARCHITECTURE.md), [`docs/CONCEPT.md`](docs/CONCEPT.md) for design.\n\n## License & model\n\nArchmantic is **open-SaaS**:\n\n- The **CLI & engine** (`/src`) are **Apache-2.0** ([`LICENSE`](LICENSE)) — free, local-first, your code never leaves your machine.\n- The **web platform** (`/web`) is **AGPL-3.0** ([`web/LICENSE`](web/LICENSE)) — source-available.\n- **Free** includes the full CLI + MCP + self-host (BYO database) + BYOK AI, and managed cloud for **up to 3 seats**.\n- Paid: **Team** (per seat), **Managed AI** (metered — no-BYOK Tier-2 / `handoff` / autonomous build), **Enterprise** (SSO/RBAC/audit/on-prem/SLA).\n\nFull business model: [`docs/STRATEGY.md`](docs/STRATEGY.md).\n","readmeFilename":"README.md"}