Mother Brain vs myHermy

Mother Brain and myHermy 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.

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.

myHermy

The core workflow is deliberate: you bring your existing ChatGPT, Claude, Copilot, or Grok subscription, myHermy provisions a dedicated server in one of 30-plus regions, and your agent starts handling email triage, calendar checks, research, and reminders across WhatsApp, Telegram, Discord, Slack, Signal, and email. Daily automated backups with seven-day retention and one-click restore mean a bad config doesn't cost you a week of history. Root SSH and a browser terminal are available if you need to dig in — but the dashboard is built for people who never want to. Where this hits a wall: there is no API, so teams that need to pipe agent output into their own systems or trigger the agent programmatically from external events have no supported path.

Attribute	Mother Brain	myHermy
Pricing	Paid	Paid
Price	$25/year	$19/mo
Free trial	No	No
Open source	No	No
Has API	No	No
Self-hosted option	Yes	No
Platforms	macOS, Windows, Linux	Web dashboard, WhatsApp, Telegram, Discord, Slack, Signal, Email
Pros	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.	Bring-your-own LLM subscription support (ChatGPT, Claude, Copilot, Grok), so you avoid paying a second per-message bill on top of hosting — a cost that compounds fast once your agent is running around the clock. Private dedicated server per user, which means your conversations and task history are not co-mingled with other users' data — the failure mode on shared-infrastructure agent platforms. Daily automated backups with seven-day retention and one-click restore, so a broken update or config mistake doesn't permanently lose your agent's context and history. Six-channel reach (Telegram, WhatsApp, Discord, Slack, Signal, and email) from a single agent deployment, so you don't manage separate bots per platform or retrain your habits to use a new interface. Root SSH and browser terminal access on every plan, so users who need to inspect the server environment or install additional tooling aren't blocked by a locked-down hosting layer.
Cons	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.	No API is available, which means any external system — a CRM, a webhook, a custom dashboard — cannot programmatically trigger the agent or receive structured output from it. Teams that need agent actions to feed into their own product or internal tooling have no supported path and need to switch to an API-first agent platform. No self-hosted option exists, so organizations with data residency requirements or policies that prohibit third-party cloud hosting cannot use the service regardless of the private-server framing — the infrastructure is still provisioned and managed by myHermy. The agent's capabilities are bounded by the Hermes Agent and OpenClaw implementations; there is no documented way to swap in a custom agent framework or extend the agent's core logic beyond what the dashboard exposes. Teams with specialized workflows that outgrow the built-in capabilities — email, calendar, research, reminders — have no upgrade path within the platform.

Bottom line

Mother Brain and myHermy are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Mother Brain and myHermy?

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

Is Mother Brain better than myHermy?

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.