Moonshot AI Unveils Kimi Claw: Browser-Based AI Agent with 5,000 Community Skills and 40GB Cloud Storage

Moonshot AI Unveils Kimi Claw: Browser-Based AI Agent with 5,000 Community Skills and 40GB Cloud Storage

Moonshot AI has officially launched Kimi Claw, a groundbreaking browser-native AI agent that brings the full power of the OpenClaw framework directly to kimi.com. This update transforms the previously localized OpenClaw environment into a persistent, cloud-hosted platform accessible to developers, data scientists, and AI enthusiasts worldwide. With 5,000 community-contributed skills and 40GB of integrated cloud storage, Kimi Claw represents a significant leap in democratizing advanced AI tooling without requiring local infrastructure.

According to a GitHub issue posted by the OpenClaw development team on February 14, 2026, Kimi Claw now includes native gateway-level support for web search functionality, allowing the AI agent to dynamically query and synthesize real-time information directly from the internet. This feature, detailed in Issue #16616, enables Kimi Claw to serve as a true autonomous agent capable of research, data aggregation, and decision-making tasks without manual prompting. The integration of web_search as a core provider underscores Moonshot AI’s commitment to building an AI ecosystem that operates beyond static responses and into dynamic, context-aware execution.

Complementing this, a comprehensive guide from VERTU® on the Kimi K2.5 model highlights that the underlying reasoning architecture of Kimi Claw leverages the same next-generation transformer backbone optimized for long-context processing—capable of handling up to 200,000 tokens. This technical foundation, as noted in the VERTU® Kimi K2.5 Guide, allows Kimi Claw to maintain coherence across extended workflows, from code generation to multi-step data analysis. The 40GB cloud storage allocation is not merely for file retention; it supports persistent agent memory, enabling users to train custom skills, store datasets, and maintain session state across multiple interactions without reinitialization.

Perhaps most notably, the 5,000 community-developed skills represent a decentralized innovation engine. Unlike traditional AI assistants that rely solely on vendor-curated functions, Kimi Claw’s skill library is crowd-sourced and continuously updated by a global developer community. These skills range from automated financial report generation to scientific literature summarization and even custom API integrations. Developers can publish, version, and share their skills through an integrated marketplace accessible within the Kimi.com interface, fostering a collaborative AI development culture akin to GitHub’s open-source model.

For enterprise users and researchers, the implications are profound. Kimi Claw eliminates the need for complex local deployments, Docker containers, or GPU hardware, making powerful AI agents accessible on any modern browser. This shift aligns with broader industry trends toward cloud-native AI, reducing barriers to entry and accelerating experimentation. As noted in the GitHub discussion, future updates are expected to include role-based access controls, API keys for third-party integrations, and support for multi-agent collaboration—features that could position Kimi Claw as a foundational tool in the next generation of AI workflows.

While Moonshot AI has not yet disclosed pricing details for enterprise tiers, the current offering is available free to all users of kimi.com, suggesting a freemium model may follow. The launch coincides with increased interest in open, transparent AI frameworks amid growing concerns over proprietary black-box systems. By open-sourcing the core OpenClaw architecture and encouraging community contributions, Moonshot AI positions itself as a leader in ethical, participatory AI development.

As the AI landscape evolves from chatbots to autonomous agents, Kimi Claw’s browser-native, persistent, and community-driven model may well become the new standard—not just for developers, but for anyone seeking to harness the full potential of artificial intelligence without technical overhead.