Archify
MIT-licensed agent skill that turns codebases and system descriptions into validated, interactive architecture maps and self-contained HTML/SVG exports.
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- Developers using Cursor, Claude Code, Codex CLI, OpenCode, or compatible Agent Skills clients
- Engineering teams documenting unfamiliar codebases, runtime systems, workflows, and architecture changes
- Technical leads who want machine-readable diagram checks and portable review artifacts
- Validation proves internal consistency and rendering constraints, not that the agent discovered the real architecture or security boundaries correctly.
- Installation and generation execute Node.js tooling supplied by the repository, so teams should pin and review the chosen release before use in sensitive codebases.
- The project is young and its public popularity is much better documented than independent production adoption.
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Archify targets a gap in vibe coding that appears after the code works: agents can describe a system quickly, but their diagrams are often disposable pictures with weak structure and no verification trail. Archify packages architecture visualization as an installable agent skill and deterministic Node.js toolchain. The agent writes typed JSON, Archify validates and renders it, and reviewers receive a portable HTML/SVG artifact whose routes, reach, views, and source references remain inspectable.
Archify is an agent-native architecture visualization system for Cursor, Claude Code, Codex CLI, OpenCode, and compatible skill workflows. Instead of asking a model to emit an unchecked drawing, it uses typed JSON intermediate representations, deterministic renderers, and validation receipts to produce self-contained HTML/SVG system maps. It supports architecture, workflow, sequence, data-flow, and lifecycle views; route and dependency exploration; source-revision evidence; share-card and motion exports; and validated Before / Delta / After comparisons for architecture review. Archify validates authored structure and layout, not whether an agent correctly understood the real system, so source selection, topology, security boundaries, and conclusions still need human review.
Why Choose Archify?
Choose Archify when a coding agent needs to explain a real repository or proposed system with a structured artifact rather than a generic image or Mermaid block.
Its strongest distinction is the combination of typed intermediate data, machine-readable validation, interactive route exploration, revision-pinned source evidence, and architecture-delta receipts.
Self-contained HTML plus PNG, SVG, WebM, and share-card exports support both deep technical review and lightweight documentation without a mandatory hosted service.
Do not confuse renderer validation with factual verification: reviewers must still confirm that the agent selected the right components, dependencies, data flows, ownership, and trust boundaries.
Key Features
Generates architecture, workflow, sequence, data-flow, and lifecycle diagrams from typed JSON intermediate representations instead of unconstrained drawing output.
Compiles deterministic, self-contained HTML/SVG artifacts with dark and light themes, finite motion, search, authored route tracing, semantic lenses, and guided stories.
Validates schema, layout, routes, labels, and export readiness, returning machine-readable diagnostics and supported local fixes when a candidate fails.
Compares validated snapshots as Before / Delta / After views with explicit added, removed, changed, moved, and rerouted authored facts.
Can attach Git-revision-verified source files and line ranges to architecture nodes when source evidence is explicitly requested.
Exports PNG, SVG, WebM, and 1200×630 share cards while keeping the complete diagram available as portable HTML.
Pros & Cons
- Typed intermediate data and deterministic checks make outputs more reviewable and reproducible than a one-shot image prompt.
- Interactive route, reach, role, and story controls make large system maps useful after generation instead of merely decorative.
- MIT licensing, packaged stable releases, active maintenance, and support for several coding-agent clients make the project inspectable and practical to trial.
- Source-revision evidence and architecture-delta receipts are unusually concrete features for agent-generated technical documentation.
- Validation proves internal consistency and rendering constraints, not that the agent discovered the real architecture or security boundaries correctly.
- Installation and generation execute Node.js tooling supplied by the repository, so teams should pin and review the chosen release before use in sensitive codebases.
- The project is young and its public popularity is much better documented than independent production adoption.
- Generated maps can still become over-dense or misleading when prompts omit scope, primary paths, external dependencies, or trust boundaries.
Detailed Use Cases for Archify
Ask an agent to identify core runtime components, dependencies, trust boundaries, and primary paths, then review the typed source and optional revision-pinned evidence.
Compare validated baseline and proposed snapshots in a Before / Delta / After artifact with explicit structural changes.
Create bounded workflow, sequence, data-flow, or lifecycle views with interactive authored routes instead of flattening every detail into one canvas.
Deliver one self-contained HTML map and export PNG, SVG, WebM, or 1200×630 cards for documentation and reviews.
Who Should Use Archify?
Developers using Cursor, Claude Code, Codex CLI, OpenCode, or compatible Agent Skills clients
Engineering teams documenting unfamiliar codebases, runtime systems, workflows, and architecture changes
Technical leads who want machine-readable diagram checks and portable review artifacts
Security-conscious teams willing to pin releases and verify agent-authored topology before publication
Perfect For
Map an unfamiliar repository's runtime architecture before an agent begins a large refactor.
Generate a validated workflow or sequence view for an implementation plan, incident review, or pull request.
Compare authored architecture snapshots and present explicit structural changes during design review.
Publish a portable interactive system map plus card-size exports without relying on a hosted drawing editor.
Technical Details
Direct Competitors
Diagram Design
Mermaid
D2
Excalidraw
PlantUML
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