Hearth vs MAXSIM

Hearth and MAXSIM are both ai agent apps 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.

Hearth

Hearth runs on your own hardware and handles the tasks that usually demand a SaaS subscription: opening applications, reading and writing files, driving a real browser you can watch, and carrying memory of past sessions — all without a single request leaving your network. The MIT license means you can fork it, extend it, and ship modified versions without legal friction. That said, the GitHub repo shows 9 stars and 297 commits from a single-org project, which signals early-stage software rather than a hardened production runtime. Windows is the primary target; Linux and macOS support is not confirmed by the page. Teams that need cross-platform deployment or enterprise support will hit the ceiling fast.

MAXSIM

Max, the AI agent, reads live code, routes, databases, logs, and usage data — then makes changes directly to the running system, not a local copy. Deployments go live in seconds, and every diff, query, and cost event is logged so you can inspect exactly what changed. The system holds routes, containers, and SQL databases in a single model, which means the AI reasons about the whole architecture rather than one file at a time. The ceiling appears when your workflow demands integration with external infrastructure you already own — Maxsim is a closed cloud, so teams with existing AWS or GCP investments face a hard migration decision, not a gradual one. Beta status means guided onboarding exists, and real workloads are running, but production edge cases carry the normal risk of an early-stage platform.

Attribute	Hearth	MAXSIM
Pricing	Free	Paid
Price	—	€29/month and up
Free trial	No	No
Open source	Yes	No
Has API	No	No
Self-hosted option	Yes	No
Platforms	Windows (primary); macOS/Linux from source	Cloud
Pros	Fully local execution with no telemetry or account requirement, which means sensitive file operations and internal automation never leave the machine — eliminating the data-residency risk that blocks cloud tools in regulated environments. MIT license with a self-hosted architecture, so you can fork, modify, and redistribute without licensing negotiation — the thing that stops most teams from customizing a SaaS automation tool at all. Voice and natural-language input connected directly to OS-level actions, so non-technical users can run repetitive file and app tasks without writing scripts or maintaining a workflow canvas. Reusable, installable 'skills' that the community can share, which means automation one developer builds for cleaning a downloads folder can be packaged and reused by anyone on the same stack — no rebuild from scratch. A visible, watchable browser session rather than headless automation, so you can audit exactly what the agent is doing in real time instead of debugging a black-box scraper after it goes wrong.	The AI agent operates on the live system — real code, real databases, real logs — rather than a sandboxed copy, so changes deploy immediately without a separate handoff step that breaks coordination. Every AI action, diff, query, and cost is logged and inspectable, so you review before anything ships and can audit exactly what changed after the fact — no blind trust required. Routes, containers, SQL databases, traffic, and billing live in one unified model the AI reasons across, which means a cost spike or performance regression can be investigated in context rather than by stitching together four separate dashboards. EU jurisdiction with German datacenters and GDPR compliance is a first-class feature rather than an add-on, so teams with European data residency requirements do not need to bolt on a compliance layer. Hosting, SQL, domains, backups, and AI are included in a single billing relationship, which means a solo builder or small team avoids assembling and paying for a separate infrastructure stack before writing a line of product code.
Cons	The project targets Windows explicitly; the page does not confirm Linux or macOS support. Teams running mixed-OS environments or deploying to Linux servers cannot use Hearth without forking the codebase and porting the OS-control layer themselves — at which point they are maintaining their own tool, not adopting one. At single-digit GitHub stars and a single-org contributor base, there is no meaningful community to surface bugs, maintain compatibility with OS updates, or keep pace with new local model releases. When a Windows update breaks the file-control layer, the fix timeline depends entirely on one maintainer. There is no multi-user, logging, or audit-trail architecture described anywhere in the repo. Teams that need to demonstrate who ran what automation and when — for compliance, for incident review, or for shared-machine safety — will find nothing here and will move to a tool like Open Interpreter paired with structured logging, or a managed RPA platform, before the first audit request arrives.	Maxsim has no self-hosted option and no integration path into external cloud accounts — teams with existing workloads on AWS, GCP, or Azure cannot adopt it incrementally. The choice is a full migration or no adoption, and teams with locked-in cloud commitments or compliance requirements tied to an existing provider will move to a competitor that supports bring-your-own-infrastructure. The platform is in Beta, which the vendor acknowledges with guided onboarding. Real workloads run today, but production edge cases — unusual traffic patterns, schema migrations under load, compliance audit requirements — carry the risk of hitting gaps that a more mature platform has already resolved. There is no free tier, so evaluation requires payment from day one. Teams that need to prototype before committing budget have no cost-free path to validate fit against their specific use case before the spend clock starts.

Bottom line

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

Frequently asked questions

What is the difference between Hearth and MAXSIM?

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

Is Hearth better than MAXSIM?

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.

Hearth vs MAXSIM: which should I pick?

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