Eva vs Mother Brain

Eva and Mother Brain 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

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.

Mother Brain

Mother Brain provides persistent AI memory with document and codebase indexing, vectorization, and real-time team collaboration on a self-hosted infrastructure. The vendor states the tool is designed for developers who need an AI assistant that retains context across sessions rather than starting cold each time. The self-hosted model means your code and documents never leave your own infrastructure, which matters for teams with compliance requirements. Scraped page content is sparse, so specific throughput limits, supported LLM backends, and integration depth cannot be confirmed from sourced material. Teams evaluating this should request direct documentation on vector store configuration and team permission models before committing.

Attribute	Eva	Mother Brain
Pricing	Free	Paid
Price	—	$25/year
Free trial	No	No
Open source	Yes	No
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	Android	macOS, Windows, Linux
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.	Persistent memory across sessions, so developers stop re-explaining codebase structure to an AI that forgot everything since the last conversation. Self-hosted deployment, which means proprietary source code and documents never leave your own infrastructure — removing a category of compliance risk that cloud-only tools cannot eliminate. Real-time team collaboration on a shared AI context, so multiple developers work from the same indexed knowledge base rather than maintaining separate, diverging chat histories. Document and codebase vectorization built in, so teams avoid the engineering overhead of standing up their own retrieval pipeline just to give an AI assistant persistent context.
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.	The sourced vendor page provides no technical documentation on supported LLM backends, indexing capacity ceilings, or API surface — teams that require this detail before procurement cannot complete due diligence from public materials alone, and evaluation stalls. No free tier exists, so teams cannot run a trial against a real codebase before committing; teams that need hands-on validation before budget sign-off will move to a competitor that offers an evaluation path. Real-time collaboration feature set and permission model are undocumented in sourced material — teams managing access controls across multiple contributors cannot confirm whether the tool meets their requirements without direct vendor engagement, which adds procurement lead time.

Bottom line

Eva is free while Mother Brain is paid; Eva is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Eva and Mother Brain?

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

Is Eva better than Mother Brain?

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.