Magai review

Magai puts multiple AI models in one workspace, so you can switch models mid-conversation without losing the chat context. The plans also include image and video tools, agents, shared memory, scheduled tasks and app connections. It is not a free service: according to the published pricing information, Standard starts at $20 per month, Pro costs $40 and Ultra costs $200, billed monthly. Enterprise pricing is custom for teams with more than ten seats.

The main distinction between plans is capacity and access to standard versus premium models and tools. Standard includes 100 scheduled task runs a month; Pro includes 1,000; Ultra has no stated task cap. All three list 150+ integrations and unlimited agents. Each also includes a monthly usage amount matching its price: $20, $40 or $200. The pricing information does not explain that allowance in tokens or messages. Annual billing advertises 17% savings, but its monthly rates are not published.

Magai’s clearest advantage is keeping model choice inside one working conversation. You can change models without starting over, while shared memory follows you between models and can be read, searched or deleted. That is useful if you want different models for different tasks but do not want to maintain separate chat histories.

Agents add another layer: you can configure them with instructions, files and skills, then use them with any model. The published feature information says every plan includes image and video models alongside chat models, so those tools are not reserved for the top tier. Plans also include 150+ integrations, with app connections intended for tasks such as reading inboxes, updating CRMs and posting updates.

The task-run limits are easy to compare: 100 monthly on Standard for $20, 1,000 on Pro for $40, and unlimited on Ultra for $200. All three list unlimited agents. For a solo marketer who wants chat, media tools and workflow features under one subscription, Magai bundles a lot without requiring a separate plan for each feature.

The price is only part of the cost picture. Standard, Pro and Ultra list $20, $40 and $200 in monthly usage, but the published pricing information does not say how those amounts translate into tokens, messages or model-specific limits. That makes it hard to forecast how much conversation capacity a plan buys. The annual option advertises 17% savings, but does not publish its per-month rates.

There is no free plan listed, and trial availability is not published. Standard’s 100 scheduled runs may also be a real constraint for recurring workflows; the cap rises to 1,000 on Pro, while only Ultra lists unlimited runs. Standard additional users cost $20 each, and Pro and Ultra seat rates are custom. Enterprise rates are custom too.

Support is another caution, not a settled verdict: one Reddit thread about alternatives includes a user complaint that Magai’s customer support was “non existent.” That is one report, not proof of a wider pattern, but it is worth weighing when support details are not established in the published pricing information.

According to the pricing information checked on November 6, 2026, Magai starts at $20 per month for Standard. Pro costs $40 per month, and Ultra jumps to $200 per month—five times Standard’s price. The listed monthly rates include $20, $40 or $200 in monthly usage, respectively; the source does not explain how far that usage goes across different models or tools.

Standard includes 100 scheduled task runs monthly; Pro includes 1,000; Ultra has unlimited runs. All three list unlimited agents and 150+ integrations. Enterprise pricing is custom for teams with more than ten seats.

Yearly billing advertises 17% savings, but its monthly equivalent is not published. Additional Standard users cost $20 each; Pro and Ultra user rates are custom. Usage top-ups cost $5, $10 or $20. There’s no free plan, and the published pricing information doesn’t list a free-trial term.

Moving between models inside Magai is the easy part: the product description says you can switch models without losing the conversation, and memory follows between models. Agents can also be used with any model. That may reduce the need to rebuild workflows when changing providers within the workspace.

Leaving is less clear. The published material doesn’t say whether chats, memories, agents, files or connected-app settings can be exported, so check what you can take with you before making Magai the home for important work. It also doesn’t document an import path from another AI workspace.

The verdict flags unclear usage limits and support complaints as reasons to hesitate. The published Reddit material doesn’t include post details, so we can’t say how often people leave or attribute specific complaints to Reddit users. If predictable usage or proven support matters most, those are reasons to compare alternatives before switching.