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StepFun unveils STEPX Neo phone that runs an AI agent as its operating system

Chinese AI startup StepFun launched the STEPX Neo, a smartphone whose core operating system is built around an AI agent called Amoo, pricing the device at 3,999 yuan ($560) with a month‑long token allowance.

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Source-provided image accompanying StepFun unveils STEPX Neo phone that runs an AI agent as its operating system
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decrypt.co
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Linked source — primary-source status has not been established.
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Key terms

AI Agent
A software system that can observe, reason, and take actions to achieve a goal, often using tools and memory.
Large Language Model (LLM)
A language model trained on massive text corpora to generate and analyze text.
Memory (Agent Memory)
Stored context an AI agent uses across steps or sessions to improve continuity.
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What happened

StepFun, a Tencent‑backed AI startup, opened pre‑orders for its STEPX Neo smartphone on the evening of its launch announcement. The device runs a custom operating system, Step AOS 1.0, that embeds an named Amoo directly into the OS rather than as a standalone app. The phone ships for 3,999 yuan (about $560) and includes a 12‑month token bundle that grants 100 billion tokens per month for AI usage. The agent can execute tasks autonomously, from setting alarms locally to coordinating multi‑app actions in the cloud. A secondary MiniLED screen on the back of the phone displays the agent’s activity. Over 100 partners—including Alipay, Tencent, Ctrip, Didi and Meituan—have signed on to integrate with Amoo. The launch follows a July 13 preview of the STEPX brand and the Step 5 Preview large language model, a 600‑billion‑parameter LLM that can process up to 1 million tokens at once.

StepFun opened pre‑orders for the STEPX Neo on the same evening it announced the launch, setting the retail price at 3,999 yuan (approximately $560). The device ships with Step AOS 1.0, a custom operating system built from a blend of Android, Linux and real‑time OS components, designed specifically for autonomous AI task execution.

The , called Amoo, maintains two separate memory stores: one for user facts, habits and preferences, and another for task‑execution knowledge. Simple commands (e.g., setting an alarm) run on a lightweight on‑device model, while more complex, cross‑app requests are routed to a larger cloud‑based model. A secondary MiniLED screen on the back of the phone provides a visual cue of the agent’s current activity.

StepFun highlighted that more than 100 companies and platforms—including major Chinese services such as Alipay, Tencent, Ctrip, Didi and Meituan—have signed on to support Amoo. These partners will continue to process payments, travel bookings and content creation on their own platforms, while the agent orchestrates the workflow.

The phone includes a 12‑month token plan that grants 100 billion tokens per month. StepFun has not disclosed the cost structure for token usage after the first year, nor has it announced plans for distribution outside of China.

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Why it matters

Embedding an at the operating‑system level marks a shift from the current model where assistants like Siri or Google Assistant sit as apps on top of iOS or Android. If the STEPX Neo’s approach proves scalable, it could redefine how smartphones handle multitasking, privacy, and user personalization, giving the AI direct access to system resources rather than relying on screen‑reading or simulated clicks. The inclusion of a token bundle and a hybrid on‑device/cloud model also illustrates a new monetization strategy for consumer AI, where usage is measured in tokens rather than subscription tiers. However, the long‑term cost after the first year, the geographic availability of the device, and the robustness of the security controls remain unclear, leaving open questions about adoption outside China and the sustainability of the token‑based pricing.

By integrating the into the operating system, StepFun bypasses the limitations of app‑based assistants that must rely on accessibility services or screen‑reading to control other apps. This could enable faster, more reliable task automation and deeper personalization, as the agent can directly invoke system functions.

The token‑based pricing model reflects a shift toward usage‑based billing for consumer AI, similar to how cloud providers charge for compute. This may influence how other smartphone makers price AI features, potentially moving away from flat‑rate subscriptions.

Security and privacy are central concerns when an AI has low‑level system access. StepFun claims to embed security controls in the base layer of Step AOS, but independent verification is pending. Regulatory scrutiny could arise if the agent processes sensitive personal data without clear user consent mechanisms.

The partnership ecosystem suggests a strategic play to embed the agent across China’s dominant digital services. Successful integration could create network effects that lock users into the STEPX ecosystem, challenging the dominance of existing platforms like iOS and Android.

Interactive Mechanism

Interactive Mechanism: How It Actually Works

Explore the underlying technology behind this development interactively.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
Interactive Concept Check+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

What to watch next

Key indicators to monitor include: (1) how quickly the token bundle is exhausted by typical users and whether StepFun announces pricing for post‑first‑year usage; (2) the rollout of Amoo integrations with partner services and any performance or privacy issues that arise; (3) regulatory responses in China and other markets to an OS‑level , especially concerning data security and real‑time decision‑making; and (4) competitor reactions—whether other manufacturers will adopt similar OS‑centric AI architectures or double down on app‑based assistants.

Token consumption patterns: Early adopters’ usage will reveal whether the 100 billion‑token monthly allowance is sufficient for typical daily interactions or if users quickly exceed it, prompting price adjustments.

Partner integration performance: Real‑world testing of Amoo’s coordination with services like Alipay and Didi will surface any latency, reliability or data‑privacy issues.

Regulatory response: Chinese authorities may evaluate the OS‑level AI for compliance with data‑protection laws, especially given the agent’s access to personal habits and preferences.

Competitive reaction: Major OEMs and OS vendors may announce similar AI‑first devices or double‑down on app‑based assistants, influencing market dynamics.

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