Eva vs Knoku

Eva and Knoku are both productivity tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Eva

The home screen organizes work across four tabs — Chat, Images, Music, Docs — so you are not stitching together separate apps to get a grounded assistant plus media playback. Music continues in the background with lock-screen controls while you use the chat or docs tabs, which means the assistant does not interrupt your queue. The ceiling appears fast on older or mid-range hardware: on-device inference is bottlenecked by the ARM64 chip you have, not a server you can upgrade. No API is exposed, so there is no path to building a pipeline around Eva or connecting it to other tooling. The open-source repo has 1 star and 0 open issues at time of curation, meaning community support is effectively nonexistent.

Knoku

Knoku indexes public and internal sources — crawled websites, GitHub Markdown, Notion runbooks, Confluence spaces, Jira tickets, Zendesk help articles, and OpenAPI schemas — into a single project index, then serves answers through an embeddable widget, Slack, and API. Citations point back to the source file, so users can verify the answer without trusting a black box. The built-in analytics track deflection rates, repeated questions, and knowledge gaps, which means you see where your docs are failing without exporting data to a separate analytics tool. The ceiling appears when you need answers that require synthesizing information across sources in ways that demand reasoning rather than retrieval — and there is no self-hosted option, so every query touches Knoku's infrastructure.

Attribute	Eva	Knoku
Pricing	Free	Paid
Price	—	$129/month
Free trial	No	14 days
Open source	Yes	No
Has API	No	Yes
Self-hosted option	Yes	No
Platforms	Android	Web
Pros	Entire stack — language model, voice, maps, documents, Wikipedia — runs on-device with no network calls, so user data never reaches a third-party server even when the app is actively used. Open-source under a public GitHub repo with a downloadable APK, so you can audit the code, build from source, or self-host the distribution instead of depending on a vendor's continued operation. Background music playback with lock-screen controls persists while you use Chat or Docs tabs, so switching to ask a question does not interrupt the media session. Document-grounded chat runs locally, which means you can feed private files into the assistant without those documents ever leaving the device — a constraint that eliminates most cloud-based RAG tools from contention. No account creation or sign-in required, so there is no identity surface to compromise and no subscription to manage.	Scheduled website crawls and commit-triggered GitHub syncs keep the index current without manual re-indexing, so answers don't drift from the live docs. Citations link back to the originating source file on every answer, which means users can verify claims and support teams can audit what the assistant said — no black-box outputs. OpenAPI and Swagger schema indexing lets the assistant answer endpoint-level questions from your reference docs, so API questions deflect alongside prose documentation queries. Built-in deflection and gap analytics surface repeated unanswered questions inside the tool, so identifying docs debt doesn't require a separate analytics pipeline. API access alongside the embeddable widget and Slack integration means teams can pipe answers into existing workflows without being locked to the chat UI.
Cons	Inference speed is hard-capped by the phone's ARM64 chip — on mid-range or older Android hardware, response latency becomes unusable for anything beyond short queries, and there is no server fallback to compensate. No API, no webhook, no automation surface of any kind: Eva cannot be called from a script, integrated into a workflow, or connected to another tool. Any team that needs Eva's capabilities as a component rather than a standalone app will rebuild the functionality from scratch elsewhere. The repo shows 1 star and 0 contributors beyond the original author at time of curation — when something breaks on a specific Android version or model, there is no community to surface a fix or workaround. The APK targets arm64-v8a only, so devices outside that architecture are unsupported with no documented path to building for other targets.	Answer quality is bounded by source quality: if the indexed docs are incomplete or contradictory, the retrieval layer returns confidently cited wrong answers. Teams hit this wall early when docs coverage is uneven, and the fix is rewriting documentation — not adjusting Knoku settings. There is no self-hosted or private-cloud deployment option, so every user query is processed on Knoku's infrastructure. Teams under data residency or compliance requirements that prohibit third-party query processing cannot use this tool and move to self-hostable open-source retrieval stacks instead. Advanced analytics and additional source integrations are paid-only features, meaning teams on the free tier are working with a subset of the integration surface and limited visibility into deflection data — they upgrade or export manually.

Bottom line

Eva is free while Knoku is paid; Eva is open source; only Knoku exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Eva and Knoku?

Eva is Free and open source, while Knoku is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Eva better than Knoku?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Eva vs Knoku: which should I pick?

Pick Eva if its pricing model, openness, or platform fit matches your constraints; pick Knoku otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.