OpenClaw v2026.2.17：百萬 Token 上下文與 Sonnet 4.6

• 1M Token Context Implementation: Anthropic's extended context window allows OpenClaw to process entire codebases, lengthy email threads, or comprehensive documents in a single interaction, enabling more coherent multi-step reasoning across extended conversations • Sonnet 4.6 Architecture: Latest model iteration provides improved instruction-following, reduced hallucination rates, and enhanced reasoning for complex automation tasks compared to earlier versions • Multi-Channel Gateway: OpenClaw maintains isolated sessions per agent, workspace, or sender across WhatsApp, Telegram, Discord, Slack, Signal, and iMessage through a unified local gateway process • Persistent Memory System: Utilizes local storage to maintain user preferences, behavioral patterns, and contextual understanding across sessions without reliance on cloud infrastructure • Cron System Enhancements: Enables scheduled task execution, background monitoring, and proactive alerts—allowing OpenClaw to watch inboxes, check calendars, or trigger workflows independently • Sandboxed System Access: Users define granular permissions for file read/write, script execution, and browser control, with Chromium integration enabling web navigation and interaction • Self-Improving Capabilities: OpenClaw can autonomously write code to create new skills, extending its functionality without requiring manual updates

The 1M token context window combined with Sonnet 4.6 support signals a shift toward AI agents capable of managing entire organizational workflows autonomously. This release positions OpenClaw to compete directly with enterprise automation platforms while maintaining open-source accessibility. The expanded context window enables more sophisticated use cases: legal document analysis, codebase comprehension, and complex multi-step business processes. As AI agents gain persistent memory and proactive capabilities, the competitive landscape will likely consolidate around platforms offering local execution, privacy guarantees, and deep tool integration—potentially disrupting traditional SaaS categories in sales automation, customer support, and knowledge management. The emphasis on chat app integration suggests the future of AI interaction is not new interfaces, but seamless embedding into existing communication workflows.