Automation

OpenClaw v2026.7.2-beta.3 introduces remote coding sessions on cloud workers, native automation capabilities for mobile and headless Linux, safer channel operations with improved Telegram and Signal handling, guided Control UI setup for model providers and channels, and enhanced gateway/session recovery. The release also includes new Linux packaging options (deb and AppImage), external gateway supervision mode, ClickClack integration improvements, and numerous UI/UX refinements across Control UI, including better chat layouts, keyboard shortcuts, and session management.

OpenClaw v2026.7.2-beta.2 introduces remote coding sessions on cloud workers, native automation and mobile capabilities, safer channel operations, guided Control UI setup, improved gateway and session recovery, and enhanced Linux packaging. Key improvements include external gateway supervision, ClickClack integration, Skill Workshop enhancements, and numerous Control UI refinements for better user experience and reliability.

Martin is an LLM-powered voice assistant (YC S23) that improves upon Siri by offering deeper app integrations, better personalization through conversation memory, and multi-channel access (voice, SMS, WhatsApp, email). Key features include calendar management, reminder setting, autonomous texting with contacts on behalf of users, and daily briefings. The platform addresses legacy voice assistant limitations through optimized latency, custom voice activity detection, and sophisticated memory systems that learn user context from conversations.

Continue is an open-source coding autopilot for VS Code that replaces manual ChatGPT copy-pasting with an integrated LLM assistant. It emphasizes transparency, hackability, and user control by supporting any LLM (local or cloud), collecting development data locally, and offering extensive customization through slash commands, context sources, and policies. The platform enables developers to maintain privacy while leveraging AI assistance and automatically gather data to improve their own LLM models.

OpenClaw v2026.7.2-beta.1 introduces remote coding sessions on cloud workers, native automation and mobile capabilities, safer channel operations, guided Control UI setup, improved gateway and session recovery, and new Linux packaging options. The release encompasses 2425 merged PRs with major enhancements to session management, coding agents, security boundaries, and reliability across multiple platforms including mobile, desktop, and headless systems.

This cookbook demonstrates how to reproduce Claude's published agentic search benchmark scores (DeepSearchQA, BrowseComp) using the Messages API with programmatic tool calling, server-side compaction, and task budgets. The key is proper harness configuration—API parameters that become critical for agents running 30+ tool calls across hundreds of thousands of tokens. By following this guide, you'll build an agentic search loop that matches Claude's official benchmark performance and understand why each configuration choice matters for long-horizon tasks.

Propolis is an autonomous QA platform that deploys swarms of browser agents to simulate user behavior, identify bugs, and generate e2e tests for web applications. The agents collaboratively explore websites, flag friction points, and propose tests that integrate into CI/CD pipelines. Available at $1000/month with flexible pricing options, it addresses the gap between deterministic testing and real-world usage coverage by treating agents as a canary group for quality assurance.

Mosaic is an agentic video editing platform that uses multimodal AI and a node-based canvas interface to automate video editing workflows. Built by former Tesla engineers, it addresses frustrations with traditional editors by enabling users to create reusable editing agents that can analyze video content and apply intelligent edits through natural language prompts. The platform combines visual intelligence (saliency analysis, object detection, emotion recognition) with a timeline editor and supports export to DaVinci Resolve, Premiere Pro, and Final Cut Pro.

AILA is a local-first autonomous agent platform built by Marco, a Berlin paramedic, that runs 100% on user hardware with zero remote override capability. The system uses a "Sovereignty Key" (physical hardware anchor) to ensure true ownership and prevent external control, even by the creator. Unlike cloud-based AI that users merely rent access to, AILA enables users to modify their agent's reasoning in plain language while maintaining complete autonomy and privacy.

This guide teaches how to build a grade-and-revise loop using Outcomes in Claude Managed Agents, where a writer agent drafts a cited research brief and a stateless grader independently verifies every URL, quote, and claim against a detailed rubric. The grader provides structured feedback that drives revisions until the brief passes, eliminating manual review cycles. Key techniques include writing specific, actionable rubrics that force concrete evidence, using span.outcome_evaluation_* events to track the loop, and understanding when Outcomes is the right tool for quality assurance.

This cookbook demonstrates building a vulnerability-discovery agent using the Claude Agent SDK that automatically threat-models C source code, hunts memory-safety bugs using built-in file tools (Read, Grep, Glob), and generates structured security reports. The agent operates in a multi-turn session with a bootstrap threat-modeling phase, an interview phase for owner input, and automated vulnerability finding and triage loops. The approach reduces false positives compared to traditional static analyzers by using Claude's reasoning to identify high-confidence memory-safety issues in a read-only sandbox environment.