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Eva
Pricing
- Model
- Free
Summary
Every 'offline AI assistant' you've tried still phones home for the model, the maps, or the voice layer — leaving you exposed the moment you cross a border, lose signal, or stop trusting the vendor's privacy policy. Eva runs the language model, speech recognition, text-to-speech, document search, maps, music, and Wikipedia lookup entirely on the Android device.
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.
Bottom line: Eva works exactly as described for a privacy-focused individual who wants a single offline Android app for chat, navigation, documents, and music — but teams building any kind of integration or needing consistent performance on budget hardware will hit hard walls with no workaround.
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Pros
Sign in to edit- 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.
Cons
Sign in to edit- 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.
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About
- Platforms
- Android
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-06-18T04:02:02.609Z
Best For
Who it's for
- Privacy-focused Android users
- Local media and knowledge management
- No-cloud personal assistance
What it does well
- Offline chat assistant with document grounding
- On-device maps navigation and routing
- Offline music player with genre sorting
- Offline Wikipedia and document reading
- Voice-activated personal assistant on Android
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Frequently Asked Questions
- Is Eva free?
- Yes — Eva is fully free to use. There is no paid tier.
- Is Eva open source?
- Yes. Eva is open source.
- Can I self-host Eva?
- Yes. Eva supports self-hosting on your own infrastructure.
- What platforms does Eva support?
- Eva is available on: Android.
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Curated lists that include this category
Eva is a fully offline AI assistant for Android that bundles a chat interface grounded in local documents, on-device maps navigation, a music player with background playback, offline Wikipedia access, and a docs reader into a single APK. Nothing is transmitted off the device: no account creation, no cloud calls, no telemetry. The core workflow is tab-based — switch between Chat, Images, Music, and Docs — with the language model, speech recognition, and text-to-speech all resolved locally using the Cactus engine the repo ships with.
The differentiating detail is the depth of the offline stack. Most ‘offline’ apps offload at least one layer — voice, search, or the model itself — to a remote endpoint. Eva’s architecture, as described in the repo, keeps every component on the device: the language model runs via a bundled inference engine, document retrieval is local, and maps and Wikipedia are packaged for on-device use. The APK targets arm64-v8a, meaning the supported device pool is current-generation 64-bit Android hardware.
Eva fits one profile well: a privacy-focused individual on a capable Android device who wants a self-contained assistant with no accounts and no data leaving the phone. It breaks down in two directions. First, on-device inference performance is bounded by the phone’s chip — there is no fallback to a faster backend when the model is slow. Second, Eva exposes no API and has no integration surface, so it cannot be embedded in a workflow, connected to other tools, or automated. Teams evaluating it as a component in a larger system should look elsewhere; the tool is a standalone personal app, not a platform.