Maith vs myHermy

Maith and myHermy 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.

Maith

Maith organizes AI exploration of open problems — Riemann Hypothesis, P vs NP, Collatz, Goldbach, and roughly twenty others — into a structured workflow that keeps generated ideas, numerical evidence, and symbolic output in separate lanes, so you can't accidentally treat one as the other. Each conjecture lives in its own directory, which means your lemma dependencies, small-case experiments, and falsification attempts stay auditable rather than buried in a chat thread. The workspace is self-hosted and open-source with no license file published, so production use requires legal review before deployment in institutional settings. There is no API, no autonomous agent loop, and no GUI — this is a code-and-file workflow, not a drag-and-drop canvas.

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	Maith	myHermy
Pricing	Free	Paid
Price	—	$19/mo
Free trial	No	No
Open source	Yes	No
Has API	No	No
Self-hosted option	Yes	No
Platforms	GitHub, Python	Web dashboard, WhatsApp, Telegram, Discord, Slack, Signal, Email
Pros	Separates AI-generated ideas from numerical evidence and symbolic output into distinct artifacts, so a plausible narrative never gets mistaken for a proof step during review. Pre-structured directories for roughly twenty named open problems ship with the repo, so you start with a scaffold rather than designing your own organizational scheme from scratch. Self-hosted and file-based, which means your conjecture work, lemma notes, and experiment outputs stay on your infrastructure — no data leaves to a third-party service. Adversarial falsification is built into the workflow design, so small-case counterexample searches and reproducible CAS experiments are first-class activities rather than afterthoughts. No proprietary lock-in to a specific AI provider — you wire in your own model or tool, so the workspace survives provider changes without restructuring your research artifacts.	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	There is no formal proof verification integration: when your workflow requires machine-checked proofs rather than structured human review, Maith offers no path to Lean, Coq, or Isabelle, and teams doing formal verification abandon it for those environments immediately. No license file exists in the repository, so institutional or commercial use requires legal clarification before deployment — teams under compliance constraints cannot use it without resolving that gap first. The workflow is entirely file-and-code-based with no GUI, which means onboarding any collaborator who is not comfortable in a code environment requires building your own interface layer on top. Coverage is limited to roughly twenty pre-structured open problems — researchers working outside that set get no scaffold and must design their own directory conventions, at which point the reproducibility guarantees depend entirely on their own discipline rather than the tool's structure.	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

Maith is free while myHermy is paid; Maith is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Maith and myHermy?

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

Is Maith 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.

Maith vs myHermy: which should I pick?

Pick Maith if its pricing model, openness, or platform fit matches your constraints; pick myHermy 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.