- unwind ai
- Posts
- OpenClaw That Runs on $10 Hardware
OpenClaw That Runs on $10 Hardware
+ Google Chrome's WebMCP for the agentic web
Shubham Saboo & Gargi Gupta
February 23, 2026
In partnership with
Today’s top AI Highlights:
& so much more!
Read time: 3 mins
AI Tutorial
Six AI agents run my entire life while I sleep.
Not a demo. Not a weekend project.
A real team that works 24/7, making sure I'm never behind. Research done. Content drafted. Code reviewed. Newsletter ready. By the time I open Telegram in the morning, they've already put in a full shift.
By the end of this, you will understand exactly how to build an autonomous AI agent team that runs while you sleep.
We share hands-on tutorials like this every week, designed to help you stay ahead in the world of AI. If you're serious about leveling up your AI skills and staying ahead of the curve, subscribe now and be the first to access our latest tutorials.
Latest Developments
Everyone’s still scrambling to buy Mac Minis for running OpenClaw.
And this team from China built a version of OpenClaw that runs on $10 hardware.
PicoClaw is a complete rewrite of OpenClaw in Go, achieving full agent capabilities on $10 single-board computers using just 10MB of RAM. That's 99% less memory than Clawdbot and small enough to run on a decade-old Android phone.
Inspired by HKUDS's nanobot, it launches in <1 second even on a 0.6GHz single-core processor, supports the same chat integrations (Telegram, Discord, WhatsApp, WeChat), and works with every major LLM.
Key Highlights:
True Cross-Platform Binary - Single self-contained executable runs natively across RISC-V, ARM64, and x86 architectures without dependencies. No Node.js runtime, no Python interpreter. Just download and run on any Linux device from Raspberry Pi to server racks.
95% Self-Written - The entire TypeScript-to-Go rewrite was driven by the AI agent itself through a self-bootstrapping process, with 95% of core code being agent-generated under human supervision.
Security and Sandboxing - Implements workspace-level security restrictions where agents can only access files and execute commands within configured boundaries. Dangerous patterns like
rm -rf, disk formatting, and fork bombs are blocked regardless of security settings.Heartbeat System and Subagents - Can execute periodic tasks by reading a HEARTBEAT.md file, and can spawn independent subagents for long-running operations like web searches or API calls.
Built-in Cron Tool - Supports both one-time reminders and recurring tasks through natural language ("remind me in 10 minutes") or cron expressions.
Model-Agnostic - Works with 17+ LLM providers through unified configuration, including OpenAI, Anthropic, local Ollama models, Chinese providers (Zhipu, Qwen, DeepSeek).
Want to get the most out of ChatGPT?
ChatGPT is a superpower if you know how to use it correctly.
Discover how HubSpot's guide to AI can elevate both your productivity and creativity to get more things done.
Learn to automate tasks, enhance decision-making, and foster innovation with the power of AI.
This open-source plugin turns your coding agent into a disciplined engineer. One that plans before coding, writes tests first, and reviews its own work.
Superpower injects composable "skills" into your coding agents like Claude Code, Cursor, Codex, and OpenCode, enforcing a structured workflow: brainstorm the design, break it into micro-tasks, write tests before code, and review everything before shipping.
The real power is in how it orchestrates work: an Orchestrator dispatches subagents for individual tasks, each one gets a two-stage review, and the whole system follows strict RED-GREEN-REFACTOR TDD — if code appears before a failing test, it gets deleted. The result is an agent that can work independently for hours, following an approved plan, while you focus on the decisions that actually need a human.
Key Highlights:
Mandatory Workflow Enforcement - Skills like brainstorming, planning, TDD, and code review activate automatically based on what the agent is doing — no manual triggers needed, and the agent can't skip them.
Subagent-Driven Development - Each task gets its own fresh subagent with a two-stage review process (spec compliance, then code quality), enabling hours of autonomous work without drift.
Cross-Platform Support - Works with Claude Code and Cursor via built-in plugin marketplaces, plus manual setup for Codex and OpenCode. Same skills, same workflow, regardless of your coding environment.
Composable & Extensible - 20+ battle-tested skills ship out of the box, covering everything from systematic debugging to git worktree management, and you can write and share your own custom skills.
Quick Bites
Google Chrome is turning every website into a tool for AI agents
Google is working on WebMCP, a proposal that lets websites expose structured tools for AI agents to interact with. Think booking flights, filing support tickets, or navigating checkout flows, all without clunky DOM scraping. It offers both a declarative API (HTML forms) and an imperative API (JavaScript) so sites can tell agents exactly how and where to act. It's in early preview now; you can sign up to prototype with it.
Stripe's "Minions" are shipping 1,000+ PRs a week
Stripe published Part 2 of their deep dive into Minions, their fully unattended coding agents that now merge over 1,300 pull requests weekly, with zero human-written code. Each Minion runs in an isolated devbox, pulls context from Stripe's 400+ internal tools via MCP, and goes through a structured loop of code generation, linting, and CI, capped at two CI rounds before handing back to a human. It's built on a fork of Block's open-source Goose agent, which is a fun detail.
Claude Code Security made cyber stocks lose billions
Anthropic launched Claude Code Security in a limited research preview. It’s a tool built into Claude Code that scans codebases for security vulnerabilities and suggests patches for human review. It reasons about code the way a human security researcher would, tracing data flows and catching logic-level bugs. Using Opus 4.6, their team already found 500+ vulnerabilities in production open-source codebases that had gone undetected for years.
Wall Street didn't take it lightly, by the way! CrowdStrike dropped ~8%, Cloudflare fell 8.1%, Okta slid 9.2%, and the Global X Cybersecurity ETF hit its lowest level since November 2023. The fear isn't that security spending disappears. It's that parts of the security stack start feeling like a built-in AI utility rather than a separate subscription.
Vibe code your next viral video with Replit Animation
Replit just shipped Animation, a new mode inside Replit Agent that lets you vibecode animated videos straight from a prompt. Powered by Gemini 3.1 Pro, it generates React-based motion graphics (not diffusion video like Runway or Sora), renders them in a preview pane, and exports to MP4. Think product promos, explainers, social content - all built as code you can actually iterate on, pull in design systems, and tweak conversationally.
Tools of the Trade
claude-reflect: A self-learning layer for Claude Code that captures your corrections and preferences during sessions, then syncs them into CLAUDE.md and AGENTS.md. Essentially, it gives Claude Code a persistent memory of how you like things done.
vscode-fresh-file-explorer: A VS Code extension that filters your file explorer to show only recently modified files, using a mix of Git history and pending changes. Useful for cutting through noise in large repos where you're only touching a handful of files.
codespelunker (cs): A CLI code search tool written in Go that understands code structure and ranks results by relevance, no indexing step required. Think ripgrep but with awareness of what's actually meaningful in your codebase.
micasa: A terminal UI for tracking home maintenance, projects, appliances, vendors, and warranties - all stored in a single local SQLite file. Keyboard-driven, VisiData-inspired, no cloud or accounts needed.
Awesome LLM Apps - A curated collection of LLM apps with RAG, AI Agents, multi-agent teams, MCP, voice agents, and more. The apps use models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, Qwen, and Llama that you can run locally on your computer.
(Now accepting GitHub sponsorships)
Hot Takes
Next 2-3 years will create a new class of AI builders.
They won't be AI experts. They'll be generalists who learned to think in systems.
Just like in multi-agent systems, the magic isn't in any single agent. It's in the orchestration layer.
Same goes for YOU.
I've seen worse code written by people than what I've seen from modern models.
I'm not a fan of AI-generated code, but let's not pretend most humans write better code.
~ Santiago
That’s all for today! See you tomorrow with more such AI-filled content.
Don’t forget to share this newsletter on your social channels and tag Unwind AI to support us!
PS: We curate this AI newsletter every day for FREE, your support is what keeps us going. If you find value in what you read, share it with at least one, two (or 20) of your friends 😉
Reply