Ciris vs tutti

Ciris and tutti 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.

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.

tutti

The core idea: instead of agents exchanging summaries, they share a live project state. Codex sees exactly what Claude changed, what's running, and what's pending — no copy-paste required. The `@` reference system lets any agent or teammate pull from any file or conversation in the workspace without re-uploading. A GUI control center surfaces every pending approval and running task in one view, so you sign off without opening a terminal. The ceiling appears when your workflow involves agents outside Tutti's supported roster or when you need fine-grained infra control — the platform is built for GUI-driven coordination, not headless pipeline automation.

Attribute	Ciris	tutti
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	No
Platforms	iPhone, Android, desktop, pip	—
Pros	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.	Shared live project state across agents, so Codex reads exactly what Claude produced without a re-briefing step — eliminating the context decay that compounds across every handoff. The `@` reference system lets any agent pull any file or conversation from the workspace by name, so the copy-paste loop between agent sessions stops entirely. Goal-to-task decomposition with manual assignment review, so you keep control over which agent runs each step without scripting the breakdown yourself. Apps run inside the workspace and are callable by agents using existing subscriptions, so Claude can write a PRD and directly invoke a design tool without switching windows or re-authenticating. GUI control center aggregates every running task and pending approval in one view with one-click sign-off, so you stay in the loop without monitoring separate agent sessions across multiple tabs.
Cons	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.	Teams that need headless, programmatic pipeline control — triggering agents via API, chaining steps based on returned values, running without a GUI — hit a structural wall. Tutti is built around a visual workspace; there is no evident scripted orchestration layer for fully automated pipelines. Those teams move to a code-first framework or an API-driven orchestration tool instead. The in-workspace app catalog is community-and-vendor-built and early-stage. When a workflow requires an app or integration that does not exist in the catalog, teams either build a custom app (which requires development time Tutti does not eliminate) or accept that the agent must leave the workspace to use an external tool, breaking the shared-state model. Agent support is bounded by whichever models Tutti explicitly connects — Claude, Codex are named in the vendor content. Teams running workflows on models or providers outside that set cannot bring those agents into the shared workspace, which forces the same copy-paste context problem Tutti exists to solve.

Bottom line

Ciris and tutti are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Ciris and tutti?

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

Is Ciris better than tutti?

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.

Ciris vs tutti: which should I pick?

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