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ChatVIA.ai vs Hearth

ChatVIA.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.

ChatVIA.ai

ChatVIA.ai

The tool lets non-technical teams build agents that answer from uploaded documents or crawled websites, book meetings via Google Calendar, create tickets in Zendesk or HubSpot, and deploy across Telegram, WhatsApp, Slack, and four other channels from a single configuration. Every conversation, tool call, and outcome is logged with sentiment and topic breakdowns — so you can see where the agent fails before your customers tell you. The ceiling appears when you need branching logic: the no-code builder handles linear task chains well, but conditional flows that depend on what a previous step returned require custom functions or MCP server configuration, which puts you back in engineering territory. Teams with strict procurement requirements and a legal team that needs to sign off on data flows will find the EU-hosting story easy to document.

Hearth

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.

AttributeChatVIA.aiHearth
PricingPaidFree
Free trial14 daysNo
Open sourceNoYes
Has APINoNo
Self-hosted optionNoYes
PlatformsWindows (primary); macOS/Linux from source
Pros
  • All data stays on EU-owned infrastructure with no US data processing, which means your legal team can document the data flow without negotiating addendums or auditing a third-party DPA.
  • Document upload, website crawl, and Q&A pairs all feed the same agent, so the agent stays in sync as your content changes without a manual retraining step.
  • Tool calling via MCP servers and custom functions lets the agent book meetings, create tickets, and check inventory rather than just returning text — so you avoid building a separate automation layer on top of a chat interface.
  • Single-agent multi-channel deployment across six platforms means you configure the agent once and reach customers on WhatsApp, Telegram, Slack, and Teams without duplicating logic.
  • Built-in topic clustering, sentiment scoring, and per-conversation audit logs give compliance teams their trail and product teams their failure signal from the same dashboard — without exporting data to a third-party analytics tool.
  • 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
  • Conditional branching — agents that take different paths based on what a previous tool call returned — is not supported in the no-code builder. Teams hit this ceiling on their second or third non-trivial workflow and fall back to writing custom functions, at which point they are maintaining code outside the visual interface.
  • There is no self-hosted option. Teams whose compliance requirements include on-premises deployment or air-gapped environments cannot use ChatVia regardless of the EU-hosting story — they switch to a self-hostable alternative like Flowise or a code-first framework they run on their own infrastructure.
  • The integration list covers common SaaS tools, but anything outside the 20+ listed connectors requires a custom function or Zapier bridge. Teams with internal or niche tooling spend engineering time on the integration layer rather than the agent logic.
  • 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

ChatVIA.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 ChatVIA.ai and Hearth?

ChatVIA.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 ChatVIA.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.

ChatVIA.ai vs Hearth: which should I pick?

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