Archyl
Archyl turns Git repos into live C4 architecture diagrams, kept in sync as Architecture as Code YAML.
If your team already believes in C4, Archyl removes the worst part of it — the manual mapping and the constant re-syncing. The free plan is genuinely usable for one developer, and the per-editor jump to Business buys the collaborative pieces (Slack & Teams bots, diagram overlays, ADRs, organization invitations, managed agent runs, MCP server usage). Scale adds SSO (SAML/OIDC), on-premise deployment, priority support, and higher AI usage limits. Skip it if your diagrams aren't C4, or if nobody on the team will maintain the archyl.yaml file.
Verified 15d ago · liveness 81/100 · cite: rightaichoice.com/tools/archyl
- Software architects documenting large or fast-moving codebases
- Teams already standardized on the C4 model for design communication
- Tech leads onboarding engineers who need a current architecture picture
- Platform teams wiring architecture docs into CI/CD via MCP, REST, or GitHub Actions
- Teams needing UML or non-C4 notation
- Projects with no code to discover, where architecture is drawn manually
- Organizations unwilling to maintain a YAML Architecture as Code file
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Skip Archyl if your team has standardized on UML or bespoke diagram notation rather than C4, or if nobody will own an archyl.yaml file reviewed in pull requests.
AI Discovery, AI Chat, AI Flow generation, and Managed Agent runs are metered per month; going past your plan's quota means upgrading (Free to Business at $25/editor/month, or Business to Scale at $50/editor/month).
Pricing is per editor per month: free for an individual developer, $25/editor/month for Business, and $50/editor/month for Scale. Compare that to Structurizr, which is DSL-first and leaves discovery to you, and to manual diagramming tools that cost less but don't re-sync. The free plan is a real entry point for one person; teams pay the Business rate once collaboration, bots, ADRs, or MCP usage matter.
In short
Archyl — Archyl turns Git repos into live C4 architecture diagrams, kept in sync as Architecture as Code YAML. Best for Software architects documenting large or fast-moving codebases, Teams already standardized on the C4 model for design communication, Tech leads onboarding engineers who need a current architecture picture. Free to start; paid plans from $25/user/mo.
What's new in Archyl
Checked 5 days agoAcross the latest 8 updates: 4 feature updates, 2 changelog entries, 1 community discussion and 1 news mention.
Structurizr Cloud shuts down 30 September: get your model out first
Structurizr's cloud service has been read-only since 1 July 2026 and reaches end of life on 30 September. Archyl positions as the migration target for stranded models.
MCP went stateless: what the 2026-07-28 revision removed
The 2026-07-28 MCP revision dropped the initialize handshake and Mcp-Session-Id. Archyl's server updated accordingly; some flows remain stateful.
Structurizr workspaces split across files now import into Archyl
Structurizr workspaces assembled from !include files could not be imported into Archyl until now. Import now resolves multi-file workspaces.
Documentation moved out of the modal
Writing an architecture doc in Archyl no longer happens in a centered dialog with the document tree hidden. The editor is now inline with the tree.
Scope the Archyl bot per channel: right room, right projects
Slack and Teams bot answers can now be scoped per channel, so one workspace bot no longer answers about every project.
Review your agent while it works
Managed runs previously returned only a pull request after the fact. Archyl surfaces the agent's decisions during the run instead of at completion.
Work sessions for AI coding agents: declare, then code
Coding agents plan against the architecture, declare work, take advisory leases on touched elements, and get a gate verdict before coding.
Many coding agents, one architecture: resolving conflicts
Three agents, three pull requests, each right alone and wrong together. Archyl describes what a shared architecture model can and cannot arbitrate.
What people actually say about Archyl — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
28 mentions across 5 sources (Hacker News, YouTube, Product Hunt, Bluesky, Lemmy) · researched Jul 27, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +AI-driven discovery of codebase structure saves manual diagramming effort.
- +Supports full C4 hierarchy from System Context to Code level.
- +YAML-based Architecture as Code keeps docs version-controlled.
- +Integrates with major Git providers (GitHub, GitLab, Bitbucket).
- +Bring your own AI provider to avoid quota limits.
- −Virtually no real user feedback to validate claims or usability.
- −Pricing transparency is poor – per-seat costs not clearly stated.
- −Off-topic YouTube comments provide zero useful signal.
- −Product Hunt comments are vague or ask for feedback, not reviews.
- −Hacker News response is defensive, not user-centric.
- • Bring your own AI provider may incur separate API fees
- • On-premise likely requires additional infrastructure costs
Viability Score
How well maintained and how widely used is Archyl? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI-powered architecture discovery from GitHub, GitLab, and Bitbucket repositories
- C4 model diagrams across System Context, Containers, Components, and Code levels
- Interactive C4 visualization with drill-down at every level
- Architecture as Code stored in an archyl.yaml DSL for version control and CI/CD
- Interactive editor with drag-and-drop relationship mapping
- Diagram overlays for highlighting architectural concerns
- Architecture Drift Score to flag documentation drift
- Architecture Decision Record (ADR) creation, import, and management
- Architecture Change Requests: propose, review, and merge model changes
- Streaming AI chat answering plain-language architecture questions
- Managed agent runs dispatched on a schedule with full architectural context
- Slack and Microsoft Teams bots answering architecture queries in-channel
- Agentic mode running live MCP tools that can create ADRs and docs from chat
- MCP server exposing 189 tools covering C4, ADRs, contracts, conformance, drift, and DORA
- REST API with official Node.js and Python SDKs
About Archyl
Archyl generates C4 architecture diagrams from your source code. Connect a GitHub, GitLab, or Bitbucket repository and its AI discovery pass maps every system, service, and dependency into an interactive model, then re-syncs it on each push so the picture doesn't rot. The output is a four-level C4 model — System Context, Containers, Components, Code — that you can drill into and edit with drag-and-drop relationship mapping. Everything is stored as Architecture as Code in an archyl.yaml DSL, so diagrams live in version control, get reviewed in pull requests, and stay auditable alongside the code they describe. Overlays highlight architectural concerns on top of the model, and the Architecture Drift Score flags where documentation has slipped away from reality. Beyond one-shot generation, a streaming chat answers architecture questions in plain language, and managed agent runs refine structural insights on a schedule. There's an MCP server exposing 189 tools, a REST API, official Node.js and Python SDKs (the Python SDK is in beta), and Slack/Teams bots for chat-driven queries plus agentic mode that can create ADRs and docs from the channel. Production Reality connects Kubernetes, Datadog, and New Relic to reconcile live services against your model, and Conformance Rules validate code changes against your C4 model and coding standards with no AI involved. Bring your own AI provider — OpenAI, Anthropic, Google Gemini, AWS Bedrock, or any OpenAI-compatible endpoint — and the built-in monthly quotas stop applying; your provider bills you directly for tokens. It's aimed at software architects, tech leads, and platform teams who want documentation that tracks the codebase instead of a diagram someone drew two quarters ago. The trade-off is notation: Archyl is C4-first, so teams standardized on UML or bespoke diagram styles will find it a poor fit. Against Structurizr, which is also YAML/DSL-driven but leaves discovery to you, Archyl's draw is the automated code-to-diagram pipeline.
Behind the Verdict
Archyl's core claim is that architecture documentation should be generated and then kept honest, not drawn once and abandoned. The pipeline shows how it tries: an AI discovery pass walks a connected Git repository and produces a four-level C4 model — System Context, Containers, Components, Code — that you drill into and edit with drag-and-drop relationship mapping. The model is stored as Architecture as Code in an archyl.yaml DSL, which means it gets reviewed in pull requests and audited next to the code it describes. From there the interesting features stack up: Architecture Drift Score to flag when docs have slipped from reality, diagram overlays to highlight concerns on top of the model, Architecture Time-lapse to replay version history as a cinematic film where retired services get struck through, Ownership Map bubbles for team coverage, Technology Radar for the tech landscape, User Flows for interaction sequences, and Production Reality, which connects Kubernetes, Datadog, and New Relic to discover live services and reconcile them against the C4 model. Architecture Insights detects issues and recommends design improvements. Release Management ingests deployments from GitHub Actions, webhooks, and the REST API. The AI layer is deliberately optional and portable: a streaming chat answers plain-language questions, managed agent runs dispatch autonomous agents on a schedule with full architectural context, and you can route every AI feature through your own OpenAI, Anthropic, Google Gemini, AWS Bedrock, or OpenAI-compatible endpoint — at which point Archyl's monthly AI limits stop applying and your provider bills you for tokens. For teams that want the hard part automated, the MCP server exposes 189 tools covering C4, ADRs, contracts, conformance, drift, and DORA metrics to Claude, Cursor, and VS Code, and there are official Node.js and Python SDKs. The Harness and 11 coding agent skills aim to make coding agents architecture-aware inside Claude Code or Codex. Conformance Rules are the anti-AI counterweight — deterministic guardrails that validate code changes against your C4 model, technology decisions, and coding standards with no model in the loop, with pre-built rule packs for microservices, clean architecture, event-driven, API-first, and a security baseline. The honest weaknesses: this is C4-first and does not support UML or other notation styles, so teams with an existing non-C4 diagram convention pay a cost to switch. It also assumes you will maintain a YAML file — teams that want zero architecture-as-code work will find it a chore. And the AI features are metered monthly unless you bring your own provider. If either of those constraints is a dealbreaker, look at Structurizr for DSL-first modeling without automated discovery, or a plain diagramming tool if you never wanted the docs to track the code.
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Real-world workflow fit
Concrete scenarios for the personas Archyl actually fits — and what changes day-one when you adopt it.
Connect a GitHub repository and let the AI discovery pass map the system into a four-level C4 model, then edit relationships with drag-and-drop.
Outcome: A System Context diagram generated within minutes, stored as archyl.yaml and updated on each push, at $0/mo.
Invite the team, enable the Slack bot, and let a managed agent run on a schedule while Architecture Drift Score tracks whether the model still matches the codebase.
Outcome: Architecture questions answered in-channel, ADRs created from chat via agentic MCP tools, and drift surfaced before onboarding docs go stale.
Wire GitHub Actions to run Conformance Rules and drift scoring on every push, connect Kubernetes and Datadog through Production Reality, and gate merges on the C4 model.
Outcome: Live services reconciled against the stored model, with deterministic guardrails blocking code changes that violate the documented architecture.
Use Cases
- Automatically generate System Context diagrams from a new Git repository within minutes.
- Drill down from a container-level view to individual classes and methods using AI chat.
- Create or import ADRs and visualize architectural decisions alongside diagrams.
- Set up a GitHub Actions pipeline that updates architecture on every push via the MCP server.
- Evaluate architecture drift by comparing current code structure against stored diagrams.
- Use the archyl.yaml DSL to collaboratively edit architectures as code in pull requests.
- Reconcile live Kubernetes services against your C4 model with Production Reality.
- Enforce architecture guardrails on code changes with Conformance Rules and rule packs.
Models Under the Hood
as of 2026-09-23
Limitations
- AI Discovery, AI Chat, AI Flow generation, and Managed Agent runs have monthly usage limits depending on the plan; connecting your own AI provider removes these limits, but your provider bills you directly for token usage.
- SSO (SAML/OIDC) and on-premise deployment are only available on Business and Scale tiers.
- Architecture as Code means someone has to maintain the archyl.yaml file, and the workflow assumes your team will review those changes in pull requests.
as of 2026-09-23
Verification history
We have re-verified Archyl 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Archyl tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Individual developer documenting one codebase who wants C4 diagrams without paying — no credit card required.
What this tier adds
Starting tier with AI-powered C4 discovery from Git repos, interactive visualization, and Architecture as Code YAML.
Business
$25/editor/month
Ideal for
Tech leads and platform teams that need to share architecture work across an organization rather than document solo.
What this tier adds
Adds Slack & Teams bots, diagram overlays, ADRs, organization invitations, managed agent runs, and MCP server usage over Free.
Scale
$50/editor/month
Ideal for
Security-conscious or regulated organizations needing SSO, on-premise deployment, and higher AI usage ceilings.
What this tier adds
Adds SSO authentication (SAML/OIDC), on-premise deployment, priority support, and higher AI usage limits over Business.
Where the pricing makes sense
The company stage and team size where Archyl's pricing actually pencils out — and where peers do it cheaper.
Pricing is per editor per month: free for an individual developer, $25/editor/month for Business, and $50/editor/month for Scale. Compare that to Structurizr, which is DSL-first and leaves discovery to you, and to manual diagramming tools that cost less but don't re-sync. The free plan is a real entry point for one person; teams pay the Business rate once collaboration, bots, ADRs, or MCP usage matter.
Setup time & first value
How long it actually takes to get something useful out of Archyl — broken out by persona, not the marketing-page minute.
Solo developer: connect a Git repository and the AI discovery pass produces your first C4 model within minutes — the docs describe a 5-minute Quickstart. Tech lead on Business: add team invitations, the Slack or Teams bot, and overlays in an afternoon. Platform team on Scale: GitHub Actions conformance checks, Production Reality connections to Kubernetes, Datadog, or New Relic, and SSO rollout
Switching to or from Archyl
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Structurizr: export your DSL and map it into Archyl's archyl.yaml, then let AI discovery fill in what the manual model missed.
- ↗To Structurizr: your archyl.yaml is version-controlled Architecture as Code, so the C4 elements and relationships transfer into Structurizr's DSL.
Integrations
Resources & Guides
- Documentationarchyl.com
Docs · Archyl
Full product docs from archyl.com
- Quickstartarchyl.com
Quickstart · Archyl
Get up and running fast from archyl.com
- Documentationarchyl.com
C4 Model · Archyl
Full product docs from archyl.com
- Documentationarchyl.com
Ai Powered Discovery · Archyl
Full product docs from archyl.com
- Documentationarchyl.com
Architecture As Code · Archyl
Full product docs from archyl.com
- Documentationarchyl.com
Git Integration · Archyl
Full product docs from archyl.com
- API Referencearchyl.com
Api · Archyl
Methods, params, types from archyl.com
- Documentationarchyl.com
Mcp Server · Archyl
Full product docs from archyl.com
- Documentationarchyl.com
Security · Archyl
Full product docs from archyl.com
Tutorials & Learning
YouTube returned 6 videos for “Archyl”, and we withheld 6: 6 could not be judged, because “Archyl” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Archyl.
Official links
Tools that pair well with Archyl
Common stack mates teams adopt alongside Archyl, with the specific reason each pairing earns its keep.
Moderne
Moderne is a deterministic code-change layer that sequences repositories into a Lossless Semantic Tree so transformations land identically everywhere.
GitMind Chat
Free AI chatbot from the GitMind team that turns prompts, PDFs, audio and images into editable mind maps, flowcharts and UML diagrams.
CodeViz
CodeViz reads your codebase and builds a living, Git-versioned architecture model you edit inside VS Code or Cursor.
Featured Head-to-Head Comparisons
Archyl vs Spider Cloud
Spider Cloud and Archyl serve entirely different needs: Spider Cloud is a web scraping API optimized for AI agents extracting structured data at scale, while Archyl auto-generates C4 architecture diagrams from source code. Choose Spider Cloud if you need real-time web data for RAG or LLM tools; pick Archyl if you document software architecture with the C4 model. They are not direct competitors.
Archyl vs Voyage Ai
If you need high-accuracy retrieval for domain-specific RAG (finance, legal, code) with enterprise compliance, Voyage AI is the clear choice. If you're a software architect wanting to auto-generate and version C4 diagrams from your codebase, Archyl delivers unmatched workflow integration. These tools solve completely different problems — pick based on your primary need: search/retrieval or architecture documentation.
Archyl vs Temporal Ai
Temporal AI and Archyl serve completely different needs. Choose Temporal AI if you need to build reliable, fault-tolerant AI agents and microservices orchestration that survive failures. Choose Archyl if you need to automatically generate and maintain C4 architecture diagrams from your codebase for documentation and team communication.
Alternatives to Archyl
View all
Moderne
Moderne is a deterministic code-change layer that sequences repositories into a Lossless Semantic Tree so transformations land identically everywhere.
GitMind Chat
Free AI chatbot from the GitMind team that turns prompts, PDFs, audio and images into editable mind maps, flowcharts and UML diagrams.
Frequently Asked Questions
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