Enola

What is Enola?

Enola is an open-source architecture checker that builds a single dependency graph across several repositories and languages, then tests every pull request against the structural rules your team writes down. It links client code to the backend endpoints it calls, so changing an API shows which repositories depend on it. You pin a baseline, make a change, and Enola reports only the regressions that change introduced, leaving older architecture debt quiet so the check can stay switched on in CI. It runs as a single local binary on Linux, macOS or Windows, sends no telemetry, and keeps your code and findings on your own machines. Coding agents can query it through an MCP server and hooks before they edit. The software is free under Apache 2.0, and the company also sells a paid, fixed-scope evaluation on your repositories, priced by agreement in writing.

Use cases

• Enforce architecture rules on pull requests
• Trace which repos call an API endpoint
• Check boundaries before a service split
• Give coding agents dependency context
• Detect circular dependencies
• Review an unfamiliar codebase before editing
• Compare structure before and after a change

Who it's for

• Software architects
• Platform engineers
• Engineering managers
• Teams using AI coding tools

Why use Enola

• Only changes introduced by the pull request are flagged, so existing debt does not break CI.
• Cross-repository linking shows who is affected by an endpoint change before it ships.
• Everything runs locally with no telemetry, so source code never leaves your infrastructure.
• The full engine is open source, so you can read, audit and compile it yourself.
• Coding agents can ask what depends on a file before editing it and check themselves afterwards.

Enola features

• Dependency graph spanning many repositories and languages
• Links calls from client apps to the backend code that serves them
• Baseline pinning that reports only newly introduced regressions
• Rules that can be advisory, ratcheted or strict
• CI check with annotations on the lines that caused a failure
• MCP tools such as impact_analysis, endpoint_impact and plan_check
• Agent hooks installed with enola install --hooks
• Package metrics ranking coupling and instability
• Snapshots stored as plain files in a documented format
• Single binary with no database, service or telemetry

Enola integrations

• GitHub Actions
• Claude Code
• MCP
• Cognee

How to get started with Enola

1. Install the Enola binary and point it at one or more repositories to generate a snapshot of the dependency graph.
2. Pin the current snapshot as a baseline with enola baseline pin.
3. Make your change or pull new code, then run enola check to compare against the baseline.
4. Choose which rules fail the build, for example with --fail-on=layers, and add the GitHub Action to run it on every pull request.
5. Optionally connect your coding agent through the MCP server so it can query impact before it edits.

Enola limitations

• Checks structure only and does not replace tests, security scanning or compliance tools
• Teams must declare the architectural rules they want enforced
• The vendor's evaluation engagement is paid, not a free trial

Enola pricing

Enola is open source, so you can use and self-host it for free.

Enola plans

• Open source

  Free

  • Complete engine under Apache 2.0
  • Runs locally as a single binary
  • CLI, CI action and MCP server

• Fixed-scope evaluation

  Custom

  scope and fees agreed in writing

  • Working installation on your codebase
  • Results measured against agreed criteria
  • Written recommendation at the end

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Enola alternatives

The main Enola alternatives listed on Debuly are Blackbox AI, numbat, Qodo, uithub, AI/ML API and Boost. The table compares pricing and platforms; order is A–Z.

1. 

   AI/ML API

   One API key for more than a thousand AI models across chat, image, video and audio, billed pay-as-you-go with prepaid credits.

   Developer platformsCodingAutomation and agents
   PaidVisit AI/ML API (official site)
2. 

   Blackbox AI

   Inference platform with one OpenAI-compatible endpoint for 300+ open and closed models, encrypted connections, and dedicated enterprise deployments.

   Developer platformsCodingAutomation and agents
   Contact salesVisit Blackbox AI (official site)
3. 

   Boost

   Free JFrog CLI that trims noisy command output before it reaches coding agents like Cursor, Claude Code and Codex, saving tokens and context.

   Developer platformsCoding
   FreeVisit Boost (official site)
4. 

   numbat

   Open-source endpoint tool that watches AI agent activity, flags risky behavior locally and can optionally block actions.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit numbat (official site)
5. 

   Qodo

   AI code review and governance for teams shipping agent-written code, with pull request review, IDE skills and rules enforcement.

   CodingAutomation and agentsDeveloper platforms
   Free trialVisit Qodo (official site)
6. 

   uithub

   Change the g in a GitHub address to a u to view a whole repository as one block of text you can paste into an LLM.

   Developer platformsCodingResearch and search
   Visit uithub (official site)

Enola FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from enola.tech · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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