發生了什麼事
Manus announced the release of Manus 2.0, an upgraded AI‑agent system called Cascade that uses 23.2 % fewer tokens, finishes tasks 28.2 % faster and costs 32 % less in a single test configuration. The rollout adds a Cloud Computer environment for persistent hosting, Automations that trigger tasks from services like email, Slack or Notion, and a revamped desktop client called Manus Studio with Video Editor and Game Dev workspaces. In parallel, the company launched Cue, a standalone app that assigns each agent its own email address, phone number, wallet and virtual computer, enabling agents to send messages, make budget‑constrained payments and operate independently. Cue also supports grouping agents to collaborate on shared goals. Both Manus 2.0 and Cue are available now on web, desktop and mobile; iOS support for Cue will follow App Store approval, and early‑access users can join for free using the invite code MEETCUE on a first‑come, first‑served basis.
Manus, a China‑based artificial‑intelligence startup, released Manus 2.0 on 28 September 2026. The core of the update is the Cascade agent system, which the company says reduces token usage by 23.2 % and cuts task execution time by 28.2 % while lowering operating costs by 32 % in a single configuration.
The platform now includes Cloud Computer, a dedicated hosting environment for projects that need persistent resources, and Automations that let users trigger AI‑driven actions from external services such as email, Slack or Notion. The desktop client, renamed Manus Studio, adds two new workspaces: Video Editor for short product ads and tutorials, and Game Dev for building and publishing multiplayer games with built‑in hosting via Cloud Computer.
Alongside Manus 2.0, the company introduced Cue, a standalone application that assigns each its own email address, phone number, cryptocurrency wallet and virtual computer. Cue enables agents to send messages, make budget‑limited payments and operate independently, and it supports grouping agents to collaborate on shared objectives. Cue is currently available on web, desktop and mobile platforms, with iOS support pending App Store review. Early access is free using the invite code MEETCUE on a first‑come, first‑served basis.
為什麼這很重要
The launch marks a notable step toward more autonomous, personal AI agents that can act on behalf of users across communication, finance and productivity workflows. By reducing token consumption and execution time, Manus 2.0 lowers the cost barrier for developers and enterprises seeking to embed AI agents in products, potentially accelerating adoption in sectors such as marketing, education and gaming. Cue’s provision of dedicated contact channels and wallet access blurs the line between software bots and independent digital actors, raising both opportunities for streamlined automation and concerns about misuse, fraud or regulatory oversight. The early‑access model and free tier suggest the company aims to build a user base quickly, but the lack of disclosed pricing beyond the invite phase leaves the long‑term commercial viability uncertain. Independent verification of the claimed efficiency gains is pending, making real‑world performance and scalability key questions for adopters.
The reduction in token consumption and execution time directly translates to lower costs, making AI‑agent deployment more affordable for startups and larger enterprises alike. This could spur a wave of new applications that embed autonomous agents in everyday workflows, from marketing content creation to real‑time game moderation.
Cue’s provision of personal communication channels and a wallet for each agent creates a functional digital persona capable of interacting with external services without human mediation. While this expands the utility of AI agents, it also introduces regulatory and security challenges, as autonomous agents could be exploited for phishing, fraud or other malicious activities if safeguards are insufficient.
The free early‑access model suggests Manus is prioritizing rapid user acquisition and community feedback. However, the absence of disclosed pricing beyond the invite phase leaves uncertainty about the platform’s long‑term revenue model and whether it can sustain the infrastructure required for persistent hosting and real‑time agent interactions.
互動機制：它實際上是如何運作的
以互動方式探索這項發展背後的基礎技術。
crm_get_transaction(id='4092').An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?
接下來看什麼
Key indicators to monitor include the conversion rate from free early‑access users to paid subscribers, any announced pricing tiers for enterprise usage, and how regulators respond to agents that can send messages and make payments autonomously. Additional scrutiny will focus on security audits of the wallet and communication features, the rollout of iOS support, and whether third‑party developers integrate Manus 2.0 into larger platforms or create novel use cases that could amplify both productivity gains and potential abuse vectors.
Adoption metrics: conversion from free early‑access users to paying customers, and the scale of enterprise contracts that may follow.
Pricing announcements: any future disclosure of tiered pricing for cloud hosting, automation triggers, or premium agent capabilities.
Regulatory response: potential guidance or restrictions from financial regulators concerning agents that can make payments, as well as data‑privacy considerations for agents handling personal communication channels.
Security audits: independent assessments of the wallet integration, email/phone provisioning, and overall sandboxing of agents to prevent abuse.
Platform expansion: rollout of iOS support for Cue, integration with additional third‑party services, and the emergence of developer ecosystems building on Manus 2.0.