exployt.ai vs Hearth

exployt.ai and Hearth 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.

exployt.ai

exployt is a multi-AI orchestration platform built specifically for software developers who need to run coding agents from Anthropic, OpenAI, Google, and local models in parallel rather than in sequence. The core workflow lets a single developer assign tasks to multiple agents simultaneously, monitor their progress, and ship output without context-switching between provider dashboards. The product is in Early Access, which means the feature surface is still forming — vendor documentation confirms this explicitly. Teams that need stable, battle-tested orchestration for production systems will feel that immaturity. At this stage, exployt fits exploratory workflows better than it fits pipelines where a Monday morning spike cannot break anything.

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.

Attribute	exployt.ai	Hearth
Pricing	Paid	Free
Price	€50/mo or €100/mo	—
Free trial	No	No
Open source	No	Yes
Has API	No	No
Self-hosted option	No	Yes
Platforms	—	Windows (primary); macOS/Linux from source
Pros	Parallel agent execution across Claude, GPT, Gemini, and local Ollama models from one interface, so a developer avoids maintaining three separate API integrations and three separate context windows for the same project. Provider-agnostic design means swapping one model for another — say, routing a task from GPT to Claude when output quality misses — does not require rebuilding the surrounding workflow. Single-developer scope is a deliberate design choice, so the interface is not cluttered with enterprise team management overhead that slows down individual contributors trying to ship fast. Local model support via Ollama runs alongside cloud providers, which means cost-sensitive tasks can be offloaded without leaving the orchestration layer.	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.
Cons	The product is in Early Access, which means production-critical workflows — anything where an agent failure at 2am needs a documented escalation path — have no SLA to stand on. Teams shipping to paying customers will hit an undefined stability ceiling before they hit a feature ceiling, and the next step is a more mature platform. No self-hosted deployment option exists for exployt itself. Teams with data residency requirements, regulated environments, or policies against sending code context to third-party SaaS infrastructure cannot use this tool at all — and switch to self-hostable alternatives the moment compliance asks the first question. The frontend is built on Blazor WebAssembly and requires JavaScript to function. Any automated pipeline, internal tool, or CI integration that needs to interact with the exployt interface programmatically runs into this wall immediately — the fallback is a plain-text summary at /llms.txt, which is not a substitute for a proper API.	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.

Bottom line

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

Frequently asked questions

What is the difference between exployt.ai and Hearth?

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

Is exployt.ai better than Hearth?

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.