OpenClaw: Run Powerful & Autonomous AI Agents Securely

Set up OpenCLL locally across macOS, Linux, and Windows, onboard providers and models, and activate hooks and skills to enable memory, remote file access, and on-the-fly coding with agents.

Explore the OpenClaw documentation to learn installation, channels, agents, tools, and models, with guidance on gateway, ops, cost, and practical quick starts for secure autonomous AI agents.

Install OpenClaw locally on Linux, macOS, and Windows using the one-liner, with Git and Node.js prerequisites. Follow onboarding, set Anthropic API keys, and heed security cautions during setup.

Onboard CloudBot and configure OpenClaw with Telegram integration, building your personal assistant profile and understanding how tokens, costs, and time zones guide use.

Explore how to configure and test hooks to ensure Telegram reminders via cron jobs, choosing appropriate channels, and debugging permission issues for reliable OpenClaw automation.

Explore how OpenClaw analyzes voice input using Whisper and FFmpeg, automatically checks and installs dependencies, transcribes audio, and demonstrates seamless, autonomous AI agent interactions.

OpenClaw lets you trigger your PC from Telegram on your phone to fetch documents remotely, share PDFs instantly, and verify system details like RAM and GPU.

Explore how to create OpenClaw skills that generate pictures locally with ConvUI, automating setup, model loading, and Telegram-triggered image generation.

Organize your desktop images by automatically sorting pictures into a folder while exploring gateway restarts, deletion risks, and other safety limits of autonomous ai agents.

OpenClaw lets you find blocked features, switch models from haiku to somnet to opus, and even modify its own config and restart the gateway safely.

Learn how OpenClaw orchestrates coding agents like codecs to autonomously build a Next.js landing page, initialize git, push to GitHub, and deploy to Vercel via Telegram.

Learn why running OpenClaw locally without sandboxing invites prompt injections and internet security risks, and explore safe alternatives like sandboxed web tools, browser automation caveats, and built-in guardrails.

Install the OpenClaw app on Android or macOS, download from Google Play (50,000 downloads), connect to OpenClaw, and use the mobile app on your phone.

Learn to install OpenClaw locally, select a model, and use Telegram onboarding and autonomous hooks to automate tasks while monitoring costs and testing for issues.

Explore how to run OpenCLO locally with open-source models via OLAMA, trim costs up to 90%, and master context and session management through files like memory, agent.md, soul.md, and bootstrap.

Learn to run openclaw with local models via olama, select by vram, and launch offline for private, free use with glm 4.7 or gpt oss 20b.

Learn to slash API costs up to 97% by optimizing tokens with the OpenCloud setup, including workspace files, agents.md, heartbeat routing, and memory management.

This lecture presents an updated checklist and resource in Markdown, highlighting a faster Olama model, and guides students to copy prompts and follow along as they prepare for implementation.

Implement lean session initialization, smart model routing, and lightweight olama heartbeats to cut costs. Use haiku and sonnet with on-demand memory, rate limits, and budgeting for secure, efficient AI agents.

Explore how context and session memory power a personal AI assistant, manage token limits, and use slash commands to monitor context and prune memory.

Master slash commands in OpenClaw to manage sessions, adjust thinking levels and models, and run skills with slash help, slash new, slash compact, and slash context for autonomous AI agents.

Learn to run autonomous AI agents securely with OLAMA, optimize VRAM and context window 64,000 tokens, and reduce costs via lean files and model routing.

Install OpenClaw on a virtual private machine to secure and extend its capabilities, then onboard, configure heartbeats, access the debug console, and manage skills from GitHub or the OpenClaw repo.

Treat OpenClaw as a separate employee with its own computer, network, inbox, documents, calendar, reports, channels, and folders on a secure, isolated VPS.

Learn to install OpenClaw on a VPS using a catalog deployment, docker manager, and gateway token, configure API keys, and secure ports.

Learn to onboard new models in OpenClaw, configure via yaml or visual editors, enable Telegram integration, manage API keys, and optimize heartbeats with Gemini for cost efficiency.

Explore the debug console overview to manage channels, instances, sessions, and cron jobs, customize agents and models, and access snippets and the skills library.

Explore three skill installation methods in OpenClaw—from writing safe local skills to using built-in and marketplace skills—highlighting safety risks, malware concerns, and secure installation practices.

Explore connecting OpenClaw to Google Cloud Console, enabling Calendar and Gmail APIs, managing credentials, and evaluating security risks, with recommended use of n8n for email automation.

Set up internet access for your ai agent by configuring brave for web search and web fetch, enabling browser automation, and perplexity for deep research with a free api tier.

Automate daily and hourly tasks with cron jobs in OpenClaw, scheduling searches for ai trends, summaries, and alerts via telegram while analyzing channels for outlier videos.

Explore the OpenClaw framework for end-to-end automation with time, event, or manual triggers; a brain powered by LLMs handles research and analysis, delivering actions like emails, Notion updates, or code.

Explore multi-agent routing with main and sub-agents, each with its personality and workspace, via agents.md and soul.md. Enable voice mode and phone calls with Twilio or 11Labs, mindful of costs.

Secure OpenClaw deployments by locking Docker to localhost, securing gateway tokens, closing ports, configuring a firewall, and using SSH keys for access.

Learn to deploy OpenClaw as a separate employee on a dedicated VPS, isolating its services, databases, and communications; explore secure skill integration, cron jobs, voice mode, and robust access controls.

Explore the new internet for AI agents with resources, tips, and tricks, and follow Peter Steinberger for insights and a course recap.

Explore Moldbook, the new internet for AI agents, a social network for open cloud with millions of agents and diverse platforms, while highlighting security risks and cautions.

Gain practical tips, use cases, and resources to secure and improve your open cloud, guided by Peter Steinberger on inference speed and embracing typos and imperfect grammar.

OpenClaw enables secure, autonomous AI agents on a self-hosted gateway, running locally or on a virtual private server, with open source access and flexible install options.

Explore hosting options for deploying secure ai agents, including Hostinger's KVM2 plan, with security guides, secure deployment steps, and discount codes like arnie10 to save up to 10%.