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Eva vs N71

Eva and N71 are both personal assistants 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

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.

N71

N71

N71 positions itself as organizational memory infrastructure — ingesting data from connected sources, generating what it calls 'Thoughts' (synthesized context), and making those available to AI agents or human team members with governed access controls. The vendor publishes benchmark results claiming a 0.574 overall score on a 100-episode memory suite, against a reported best-published score of 0.42 — and notably highlights cascade updating, where a changed fact propagates to dependent facts, and absence detection, knowing what it no longer knows. That's a meaningful architectural claim: most memory systems give you retrieval; N71 claims it gives you coherent, self-correcting knowledge. The catch is that this is a fully managed, cloud-only service with no self-hosting option, which creates a hard ceiling for teams in air-gapped or strict data-residency environments. Regulated industries get a 'governed deployment' path, the vendor states, but the architecture details are thin on the public page.

AttributeEvaN71
PricingFreePaid
Free trialNoNo
Open sourceYesNo
Has APINoYes
Self-hosted optionYesNo
PlatformsAndroid—
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.
  • Cascade fact updating propagates changes across dependent knowledge automatically, so agents don't act on contradicted information after your source data changes.
  • MCP-native agent connectivity means any MCP-compatible agent can consume organizational memory without custom integration code, which means you're not building a bespoke bridge every time you add an agent.
  • Permission-controlled shared workspaces let teams expose the same memory layer across roles with audit trails, so you get shared context without losing access governance — the thing that usually forces teams to duplicate context manually.
  • Proactive context delivery surfaces relevant Thoughts without requiring the agent to know what to query, which means agents operate on context they didn't know to ask for — the failure mode that makes reactive retrieval systems miss obvious facts.
  • Vendor-published benchmarks with downloadable episodes and judges give you a validation path for the memory quality claims — which is more than most memory systems offer before you commit to a production integration.
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.
  • No self-hosted or on-premises deployment exists: any team in an air-gapped environment, or any legal team that has ruled out third-party data processing for a given dataset, cannot use N71 at all — the architecture requires sending data to a managed service, full stop. Those teams evaluate self-hosted alternatives.
  • The benchmark methodology is vendor-published: the 100-episode suite, judges, and results come from N71's own production pipeline. Until an independent party reproduces the study, the cascade and absence scores are claims, not third-party verified facts — which matters when you're betting agent reliability on memory quality at scale.
  • The 'governed deployment' and 'sovereign AI infrastructure' positioning for regulated environments is asserted on the vendor page but not architecturally described in public documentation. Teams in regulated industries who need specifics on data handling, residency, and audit log formats will spend procurement time filling that gap before they can sign off on a production deployment.
Bottom line

Eva is free while N71 is paid; Eva is open source; only N71 exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Eva and N71?

Eva is Free and open source, while N71 is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Eva better than N71?

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 N71: which should I pick?

Pick Eva if its pricing model, openness, or platform fit matches your constraints; pick N71 otherwise. Check free-trial availability on each listing if you want to test before committing.

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

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