rsclaw is a production-grade AI agent gateway and runtime written in Rust, with a React/Tauri desktop UI. It provides a local-first autonomous agent engine that routes messages through 13+ messaging channels (WeChat, Telegram, Discord, Slack, Feishu, etc.) to any of 15+ LLM providers (Anthropic, OpenAI, Gemini, Grok, DeepSeek, etc.). The core architecture is a WebSocket gateway that manages agent sessions, tool execution, memory persistence, skill invocation, and a knowledge base RAG pipeline. Key subsystems include a computer-use GUI agent (native + browser + ADB + iPhone Mirror operators), a plugin system (WASM, JS subprocess, Codex bundles), an agent-to-agent (A2A) protocol for distributed orchestration, and a three-tier memory store (redb KV + Tantivy FTS + HNSW vectors). The binary is a single compiled crate (~21MB) with no Node.js runtime dependency for the backend. The accompanying Next.js web UI and Tauri desktop shell provide a ChatGPT-like chat interface, memory management, model configuration, and computer-use overlays. While primarily an application, the knowledge base and memory subsystems incorporate significant data engineering patterns: content-aware chunking, hybrid vector/FTS search, entity extraction, and a job-based ingestion pipeline with leadership/leaderboard semantics.