Installation

OpenClaw v2026.4.12 is a comprehensive quality release emphasizing plugin loading reliability, memory system improvements, and expanded local model support. Key additions include an Active Memory sub-agent plugin, local MLX speech provider for Talk Mode, LM Studio provider for self-hosted models, and enhanced Feishu setup workflows. The release also addresses critical security fixes, dreaming/narrative stability, and improves gateway lifecycle management and Matrix client streaming support.

This tutorial introduces the Claude Managed Agents API by walking through a practical debugging workflow where an agent iteratively fixes failing tests in a Python package. It covers the three core resources (Agent, Environment, Session), file mounting, and the streaming event loop pattern. The example demonstrates how agents autonomously discover the iterate-observe-fix loop by running tests, reading failures, editing code, and repeating until all assertions pass.

The Claude Agent SDK provides built-in session management functions to build conversation history sidebars without writing custom parsers. This cookbook demonstrates how to list, read, rename, tag, and fork sessions stored as JSONL transcripts on disk. By leveraging SDK primitives like list_sessions(), get_session_messages(), and rename_session(), developers can implement session browsers for desktop apps, IDE extensions, and chatbots without managing file I/O directly.

OpenClaw v2026.3.24-beta.2 addresses critical fixes for media access policies, Node.js version compatibility, and CLI update workflows. The release aligns outbound media handling with configured filesystem policies, lowers the Node 22 support floor to 22.14+, and adds preflight checks for Node version requirements during updates. Security audit tests are now isolated to prevent interference from local skill installations.

OpenClaw v2026.3.22-beta.1 introduces significant breaking changes including plugin SDK restructuring, removal of legacy Chrome extension relay, standardized image generation tools, and enhanced security measures. The release modernizes package management with ClawHub integration, adds marketplace support for Claude and Codex bundles, and implements new sandbox backends (OpenShell and SSH). Multiple security improvements address environment variable injection, webhook authentication, and contact search vulnerabilities.

Claude Code v2.1.79 introduces authentication improvements via Anthropic Console, enhanced UI features including turn duration visibility and AI-generated session titles, and fixes critical bugs affecting subprocess handling, voice mode, streaming, and enterprise rate limiting. The release also improves startup memory usage by ~18MB and adds multi-directory plugin seed support. A new `/remote-control` feature enables bridging VSCode sessions to claude.ai/code for cross-device continuation.

OpenClaw v2026.3.8 introduces significant enhancements across CLI backup operations, macOS onboarding with remote gateway tokens, configurable Talk mode silence timeouts, TUI workspace inference, Brave web search LLM context mode, and ACP provenance tracking. The release includes numerous fixes for platform-specific issues including macOS launchd restart recovery, Android permission cleanup, Telegram/Matrix DM routing deduplication, browser CDP normalization, and model compatibility updates for GPT-5.4.

This cookbook demonstrates building a low-latency voice assistant by combining ElevenLabs (speech-to-text and text-to-speech) with Claude for intelligent responses. The guide covers installation, API setup, and crucially, latency optimization techniques including Claude's streaming API and sentence-by-sentence TTS synthesis. Performance measurements show streaming reduces perceived latency by ~31% compared to non-streaming approaches, with TTS first-chunk delivery in 0.39 seconds.

This guide introduces Claude Skills, specialized capability packages that enable document creation, data analysis, and workflow automation through Excel, PowerPoint, and PDF generation. Skills use a three-tier progressive loading model (metadata → full instructions → linked files) to optimize token usage and efficiency. The tutorial covers environment setup, API configuration, skill discovery, and practical quick-start examples for Excel, PowerPoint, and PDF workflows.

WebMCP is a powerful tool for AI agent development that enables seamless integration between AI models and web services. This tutorial covers the setup process and practical applications of WebMCP, demonstrating how to leverage it for building intelligent agents. The content includes resources for getting started and exploring related tools like Superdesign for enhanced AI-powered design workflows.