Manus launches Cue with identities and spending wallets for personal AI agents
The AMW Read
Cue adds execution and spending capabilities to a known general-purpose agent provider, but prior launch coverage and limited early access constrain novelty and demonstrated impact.
Manus launches Cue with identities and spending wallets for personal AI agents
Singapore-based Manus launched Cue on September 28 alongside Manus 2.0. The standalone consumer app gives each personal agent a phone number, email address, user-budgeted spending wallet and dedicated cloud computer. Agents can take calls, send messages and make purchases autonomously, then report back. Cue entered early access on web, desktop and mobile; its iOS app was awaiting App Store review. Manus also introduced Cascade, its in-house framework for loading specialized tools as tasks require them. Company testing reported 23% lower token use, 28% shorter task times and 32% lower costs.
Cue moves competition in general-purpose agents toward the infrastructure needed to execute transactions: communication channels, persistent computing and spending authority. That extends the product launch covered by AI Market Watch on September 29 with more detail about how agents can operate outside a chat interface. A user-set wallet ceiling constrains spending, but does not by itself establish task reliability or control messages and other actions. The relevant market question is whether these execution capabilities produce dependable delegation. Early access and company-reported efficiency results leave adoption and operating reliability unproven.
For builders and investors, the concrete test is whether Cue completes authorized tasks correctly within its spending limits. Evaluation should separate Cascade's reported efficiency gains from the agent's ability to choose the right recipient, purchase or action. A wallet cap can limit financial exposure while still allowing an incorrect transaction. Cue's limited rollout offers a setting to assess those distinctions before treating autonomous purchasing as a proven consumer use case.
