JD

@levelsio Tell your agents to use say-hi.to

The biggest nanobot update ever just dropped 🚀 After two months of intense development, the community response has been incredible: - 1,866 commits pushing boundaries forward - Nearly 1,500 pull requests & 500+ issues resolved - 6.8k forks spreading across the ecosystem - 12 releases delivering continuous improvements - 158k downloads All powered by 220+ contributors who've driven the project to nearly GitHub 40k stars 🌟 GitHub: github.com/HKUDS/nanobot Huge thanks to Xubin @xubinrencs and the amazing community making this happen. We're not just building software – we're exploring the next-generation lightweight agent paradigm. These new features take nanobot from being a helpful AI assistant to becoming a dependable AI coworker that can tackle real challenges. Key Design of new nanobot: From AI Assistant to AI Coworker 1. 🔄 Long-Running Resilience → Handles multi-hour tasks without losing context or progress when interrupted. • Layered Context Management: Smart compression to avoid token window crashes • Large Output Handling: Disk persistence with reference replacement for efficiency • Smart Retry & Recovery: Classified error handling with checkpoint-based recovery 2. 🧠 Three-Layer Memory System → Learns your personal working preferences and evolves with your tasks over time, with full visibility into what it remembers. • Short-term Memory: Complete current session context with fast storage • Mid-term Memory: Auto-compression of conversations into structured summaries • Long-term Memory: Experience consolidation with git-tracked transparency 3. 🔒 Security Framework → Reduces common security risks when deploying AI agents in production environments. • Sandboxed Execution: bwrap containerization with non-root execution • Environment Isolation: No host variable leakage with localhost-bound ports • Configuration Security: ${VAR} interpolation eliminating hardcoded secrets 4. ⚙️ Extensible AI Kernel → Transforms nanobot from a standalone tool into a programmable AI kernel that integrates into various systems and workflows. • Embedded Design: 5-line integration with multi-session parallel support • Standard API Interface: One-line replacement for existing AI service integrations • Lifecycle Hooks: Developer observation and intervention at every execution step 5. 💬 Multi-Channel Communication → Works on platforms you already use with consistent functionality across channels. • Cross-Platform Coverage: Telegram, Slack, Discord, Feishu, WeChat, WhatsApp, Matrix, Email • Rich Media Processing: File uploads, voice transcription, video handling • Message Optimization: Auto-splitting, streaming output, intelligent replies 6. ⚡ Real-time Progress Streaming → Provides transparent progress updates during complex tasks for better user experience. • End-to-End Streaming: Complete streaming from providers through channels to CLI • Execution Visibility: Real-time display of agent thinking and execution process • Multi-step Task Tracking: Progress indication during long-running executions #nanobot #HKUDS