Enola. Open Source Launch
Make AI coding agents faster and use fewer tokens
Enola. Open Source Launch launched on June 19, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
AI coding agents spend time and tokens rediscovering the same codebase context. enola. OSS creates a knowledge graph of the codebase and exposes it through MCP, allowing agents to understand systems in seconds. In our benchmark across three repositories using Claude Haiku, with 102k facts, enola. saved 209k tokens, and completed analysis 14x faster. Built for teams using AI development workflows who want lower costs, faster execution, and consistent results. Open source and self-hostable
Catch dependency cycles, layer violations, and unintended change spread before they merge. Enola reports only what the change introduced and fails only the rules you choose.
Enola maps your codebase before a change, shows exactly what the change altered afterward, and fails only the structural rules you choose. Your agent can fix the regression before it reports done — or the same check can stop it in CI. $ enola check --fail-on=layers FAIL — 1 structural regression introduced. Regressions (fail): - [layers] 1.00 — Layer violation: storage -> delivery import of notify New coupling (4): storage --imports--> notify storage.LoadPrice --calls--> notify.SendReceipt …and 2 more calls and declarations $ echo $? 1 Your rule: storage must not depend on delivery. The change: a helper added that dependency. The verdict: one new regression, exit code 1 . Enola runs…from enola.tech
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