Agently vs Ciris

Agently and Ciris 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.

Ciris

CIRIS runs a signed reasoning agent on your phone or a home device, with no warehouse in the middle for the closest privacy circles. The vendor describes two paths: fully on-device using a small model like Gemma 4, or free hosted inference for phones that can't run a local model — both paths produce cryptographically signed outputs. Every claim the agent makes carries an ed25519+post-quantum signature, so you can audit it, revoke trust, and re-open any conclusion built on a bad source. The architecture depends on a 'social circle' data model; data in your innermost circles never sends the network message that would let anyone request it. Teams needing broad third-party integrations or a hosted API endpoint will find neither here.

Attribute	Agently	Ciris
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	iPhone, Android, desktop, pip
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.	On-device inference with no data center in the path for supported hardware, which means your input and the agent's reasoning never leave the device — no logs elsewhere, no third-party retention. Cryptographic signing on every agent output using ed25519 plus a post-quantum scheme, so you can trace exactly what the agent claimed, who agreed, who pushed back, and revoke trust retroactively if a source is found to be misleading. Seven-circle privacy model where innermost circles are structurally isolated — not by policy enforcement but by the absence of the outbound network message — which means there is no configuration mistake that can accidentally expose 'self' or 'family' data. Fully open-source under AGPL-3.0 with self-hosted option, so the vendor going dark does not kill your deployment and you can audit the signing and isolation logic yourself. Hosted inference path available at no cost for low-resource devices in 29 languages, which means teams can deploy to users whose hardware cannot run a local model without building separate infrastructure.
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.	No API surface exists — there is no endpoint to call from an external pipeline, no webhook, no SDK. Any team building a product that needs to programmatically query the agent or integrate it into an existing backend hits a hard wall on day one and moves to a tool with an API. The CEWP fabric is a closed trust network; it does not bridge to standard enterprise identity systems, cloud storage, or third-party data sources. Teams expecting to connect the agent to a CRM, a document store, or an external knowledge base find no integration path and either abandon the tool or build outside the CEWP model entirely. On-device inference requires hardware capable of running a small local model. The vendor names Gemma 4 as an example. Devices that cannot meet this threshold fall back to hosted inference, reintroducing a data center into the path and partially negating the core privacy architecture for those users. The social circle and trust federation model is novel and not documented against standard compliance frameworks. Teams operating under HIPAA, SOC 2, or GDPR audit requirements cannot map CIRIS's architecture to their compliance checklists without significant interpretive work — and no audit trail export to standard formats is described.

Bottom line

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

Frequently asked questions

What is the difference between Agently and Ciris?

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

Is Agently better than Ciris?

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.

Agently vs Ciris: which should I pick?

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