Agently vs hermes-desktop

Agently and hermes-desktop 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.

Agently

Agently connects to 100+ tools via OAuth and builds a live graph of your company's activity, then runs a set of specialized agents — Researcher, Revenue, Growth, Support, Ops, Briefer — coordinated by an orchestrator called Jarvis. Agents post Slack threads, recover failed Stripe charges, flag renewal risks, and ship formatted documents without waiting for a prompt. The output is artifacts — sheets, docs, decks, gated pages — not chat transcripts. The ceiling appears when you need conditional branching that goes beyond the predefined agent roles; the vendor describes no mechanism for custom agent logic or self-hosted deployment. Teams with non-standard workflows will feel the constraint.

hermes-desktop

The application handles installation and configuration of Hermes Agent through a desktop interface, which means you're not hand-editing YAML to connect tools or restart sessions. From the same window you manage skills, memory, messaging gateways, and scheduled tasks — the pieces that usually require separate configuration surfaces or CLI literacy. The 278 open issues on the repository signal an active but unpolished project, so expect rough edges on non-standard setups. Teams that need production-grade reliability or multi-user access will hit walls the desktop model was never designed for. This fits a solo developer or small team running a local agent workflow, not an ops team deploying to shared infrastructure.

Attribute	Agently	hermes-desktop
Pricing	Paid	Free
Price	$69/mo	—
Free trial	No	No
Open source	No	Yes
Has API	No	No
Self-hosted option	No	Yes
Platforms	Web	Windows, Linux (RPM)
Pros	Two-way OAuth integrations across 100+ tools with live sync, so agents act on current data rather than stale snapshots that make automated decisions unreliable. Outputs land as real files — docs, sheets, decks, gated pages, CSV exports — which means the agent's work is immediately usable rather than requiring a human to translate a chat response into an action. Jarvis orchestrates multiple specialized agents in parallel, so a single trigger (a failed Stripe charge, a renewal risk flag) can simultaneously update HubSpot, send a Gmail sequence, and post to Slack without manual handoffs. Live activity board shows every task in triggered, running, and shipped states, so you have an audit trail of what ran and when — without that, debugging an automated sequence that misfired requires guesswork. Predefined agent roles (Revenue, Support, Growth, Ops, Briefer, Researcher) cover the recurring work that consumes the most meeting time at early-stage teams, so setup targets high-frequency pain rather than requiring teams to design workflows from scratch.	GUI-driven agent installation and configuration, so teams without CLI expertise can deploy a tool-using agent without hand-editing config files or debugging environment variables. Integrated session memory and skill management inside one window, which means context persists across conversations without separate database setup or external memory tooling. Messaging gateway and scheduling support built into the interface, so you can trigger agent tasks on a timer or through external messages without writing custom orchestration scripts. MIT license with self-hosted installers and no paid tiers, which means you keep full control of the agent and your data without a vendor relationship or usage-based billing.
Cons	The agent roles are predefined and the vendor describes no mechanism for custom agent logic — teams whose workflows involve branching based on domain-specific rules (e.g., different recovery sequences per customer segment) hit this ceiling immediately and have no documented workaround short of manual intervention. No self-hosted option exists, and there is no free tier — teams in regulated industries or with data residency requirements cannot evaluate or deploy this tool, and will move to a competitor that supports on-premises deployment. The orchestration model is opaque: the vendor shows a live activity board but does not describe how to inspect or override a Jarvis decision mid-run, which means when an agent takes the wrong action on a live customer record, the recovery path is unclear and potentially damaging.	The desktop application model has no multi-user or remote access story — if a second person on your team needs to interact with the agent, or if you want it running on a server, the architecture offers no path forward and teams move to a self-hosted API-based agent stack instead. With 278 open issues and 60 open pull requests logged on the repository, non-standard OS configurations and edge-case tool integrations regularly surface bugs with no guaranteed fix timeline — teams with a hard uptime requirement treat this as a prototype environment, not a production dependency. No API surface is exposed, so any system that needs to call the agent programmatically — a CI pipeline, another service, a webhook — cannot integrate with it, and teams that hit this wall switch to agent frameworks that expose HTTP endpoints.

Bottom line

Agently is paid while hermes-desktop is free; hermes-desktop is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Agently and hermes-desktop?

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

Is Agently better than hermes-desktop?

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.