Claude Can Now Do "OpenClaw" Natively (Remote Control + Tasks)

Introduction to Open Cloud Features

Overview of New Implementations

• The speaker discusses the development of an "open cloud" version utilizing existing MCB servers and personal skills, allowing for scheduled tasks accessible via mobile devices.

• Emphasizes a safer and more efficient implementation compared to previous systems, particularly highlighting recent features released by Anthropic that enhance security and workflow.

Key Features of Open Cloud

• Describes the advantages of having an always-on agent capable of performing tasks across multiple channels, including executing commands and managing cron jobs.

• Critiques Cloudbot's setup complexity and inefficiency while praising new features from Anthropic that improve functionality in cloud code and co-work environments.

Major Updates from Anthropic

New Functionalities Introduced

• Highlights two significant features: remote control for cloud code instances and scheduled tasks for co-work, enhancing user interaction with local instances.

• Remote control allows users to interact with their local cloud code instance on mobile devices, mirroring actions performed on their computers.

Scheduled Tasks Capabilities

• Scheduled tasks can be set up on various frequencies (hourly, daily, weekly), enabling powerful automation capabilities within the user's file system.

Automemory Integration

Enhancements in Memory Management

• Discusses how Cloud Code's automemory feature allows persistent memory storage outside project files, capturing insights and learnings effectively.

• Combines functionalities such as access to file systems, CLI commands, cron jobs, and centralized memory into a cohesive operational framework.

Practical Setup Demonstration

Setting Up BetterClaw

• The speaker shares their setup process using a Mac Mini for continuous development akin to OpenClaw requirements.

• Details the directory structure created for better organization of memory logs and project information essential for effective operation.

Connected Servers Overview

• Lists global MCP servers connected to the system along with specific sub-agents designed for various functions like CRM operations or content production.

• Mentions installed marketplace plugins that enhance functionality through skills evaluation directly from mobile devices.

Remote Control and Task Scheduling with Claude

Remote Control Activation

• The remote control feature is activated, allowing access to an interactive session on a mobile device. The user initiates research on "Nano Banana 2" through voice dictation.

Interaction with Cloud Code

• The system utilizes an adversarial research sub-agent to conduct the requested research using Bright Data tools, demonstrating seamless interaction between the phone and computer.

Session Requirements

• For remote control functionality, a cloud code session must remain open in the terminal; otherwise, it will not operate from the phone. This requirement also applies to recurring tasks managed by Cloud Co-work.

Configuring Remote Control Settings

• Users can enable persistent remote control for all sessions via configuration settings, simplifying access across devices compared to traditional methods like T-m tail scale term solutions.

Scheduled Tasks Feature

• A new option for creating scheduled tasks is introduced within Claude's co-work feature. Users can specify task details such as name, description, prompt, model selection, folder association, and frequency of execution.

Creating Effective Scheduled Tasks

• An example of creating a scheduled task involves analyzing YouTube analytics daily at 6 a.m., showcasing how Claude assists in refining prompts through clarifying questions during setup.

Integration of Agents and Memory Management

• The scheduled task created by Claude Co-work integrates with betterclaw's memory management system. It allows users to interact directly from their phones while maintaining access to sub-agents and skills on demand.

Proof of Concept Implementation

• The current implementation serves as a proof of concept for utilizing OpenClaw locally without security concerns or risks of being banned. This approach emphasizes efficiency in managing tasks through cloud code and co-work features.