AgentZee vs tutti

AgentZee 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.

AgentZee

The platform runs six distinct agent types — text, voice, 3D avatar, analytics, media, and testing — coordinated under a single account so a lead captured by the chatbot can trigger a voice follow-up call without you manually stitching two systems together. The starter tier caps voice calls at 100 per month and analytics at 25 AI reports, which works for a small business running targeted campaigns but hits the ceiling fast for any team doing high-volume outbound. There is no self-hosted option, so your conversation data and voice recordings live on Agentzee's infrastructure — a hard stop for regulated industries or companies with strict data residency requirements. Teams that outgrow the call caps or need on-premise deployment have a real decision to make.

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	AgentZee	tutti
Pricing	Paid	Free
Price	$25/month	—
Free trial	14 days	No
Open source	No	Yes
Has API	Yes	No
Self-hosted option	No	No
Platforms	Web-based SaaS; deployable via website, WhatsApp, Instagram, Facebook, voice calls	—
Pros	Six agent types — chat, voice, avatar, analytics, media, and testing — run under one account, so a lead captured in the chatbot can feed a voice follow-up without building a custom integration between two vendors. Outbound voice calling is included at every tier, so sales teams running follow-up sequences do not need a separate dialer subscription stacked on top of a chatbot tool. The analytics agent generates AI-written reports from engagement data, which means a marketing manager can get a readable summary of campaign performance without exporting CSVs into a separate BI tool. An API is available, so engineering teams can trigger agents or pull data programmatically rather than being locked into manual workflows through the web interface alone. The media agent generates images and short videos inside the same platform, so campaign assets do not require a separate design tool subscription for teams producing content at moderate volume.	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	The starter tier caps outbound calls at 100 per month and 10 per day — a sales team running any sustained prospecting campaign will hit that ceiling within the first week, forcing an upgrade or a mid-campaign architecture change. There is no self-hosted deployment option, which means conversation transcripts, voice recordings, and customer data all reside on Agentzee's infrastructure; teams in healthcare, finance, or any sector with data residency requirements cannot use this platform without a compliance exception they are unlikely to get. Complex branching conversation logic — where the next agent step depends on multiple conditions from the previous response — has no documented escape hatch into custom code within the platform; teams that need multi-condition routing end up building a parallel layer outside Agentzee, at which point they are maintaining two systems and the consolidation pitch collapses. The analytics agent is capped at 25 AI reports per month on the starter tier, which is not enough for a marketing team running weekly campaign reviews across more than a handful of active segments — they either upgrade or export data to a separate analytics tool, undermining the all-in-one positioning.	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

AgentZee is paid while tutti is free; tutti is open source; only AgentZee exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AgentZee and tutti?

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

Is AgentZee 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.