惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

The Hacker News
The Hacker News
GbyAI
GbyAI
雷峰网
雷峰网
罗磊的独立博客
WordPress大学
WordPress大学
博客园_首页
Hugging Face - Blog
Hugging Face - Blog
The Cloudflare Blog
云风的 BLOG
云风的 BLOG
F
Full Disclosure
Google DeepMind News
Google DeepMind News
C
Cyber Attacks, Cyber Crime and Cyber Security
NISL@THU
NISL@THU
S
Schneier on Security
T
Tor Project blog
C
Cybersecurity and Infrastructure Security Agency CISA
Recent Announcements
Recent Announcements
酷 壳 – CoolShell
酷 壳 – CoolShell
C
Check Point Blog
P
Palo Alto Networks Blog
C
CERT Recently Published Vulnerability Notes
S
Secure Thoughts
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Last Week in AI
Last Week in AI
T
Threatpost
I
Intezer
Y
Y Combinator Blog
G
GRAHAM CLULEY
MyScale Blog
MyScale Blog
阮一峰的网络日志
阮一峰的网络日志
T
The Exploit Database - CXSecurity.com
Scott Helme
Scott Helme
A
Arctic Wolf
Martin Fowler
Martin Fowler
Hacker News: Ask HN
Hacker News: Ask HN
V
V2EX
B
Blog RSS Feed
The Last Watchdog
The Last Watchdog
博客园 - 司徒正美
Simon Willison's Weblog
Simon Willison's Weblog
V
Vulnerabilities – Threatpost
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
N
News and Events Feed by Topic
www.infosecurity-magazine.com
www.infosecurity-magazine.com
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
P
Proofpoint News Feed
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
AI
AI
C
Cisco Blogs
T
The Blog of Author Tim Ferriss

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. Adam/papers/emergent_values_whitepaper.md at master · strangeadvancedmarketing/Adam Ask HN: How do you stop playing 20 questions with your AI coding tools How far can automation and AI support psychotherapy? - @theU GitHub - stagas/rtdiff: realtime git diff gui and AI-assisted commits A Mac Studio for Local AI — 6 Months Later A History of the Early Years of AI at the University of Edinburgh Why AI Coding Tools Still Feel Stuck on Localhost MSN AI Datacenters Are Becoming Strategic Targets twitter.com Penn Researchers Use AI to Surface Unreported GLP-1 Side Effects in Reddit Posts Show HN: MoodSense AI (ML and FastAPI and Gradio, Deployed on Hugging Face) Moodsense Ai - a Hugging Face Space by aman179102 AI models are terrible at betting on soccer—especially xAI Grok GitHub - xialeistudio/echoic GitHub - HimashaHerath/github-dev-wrapped: AI-powered weekly GitHub activity reports deployed to GitHub Pages GitHub - alejandrobalderas/claude-code-from-source: Architecture, patterns & internals of Anthropic's AI coding agent — reverse-engineered from source maps AI and Tech brief: Ireland ascendant GitHub - Titovilal/context0: Context0 - Never Surrender Training for a Marathon with an AI Coach: What Worked and What Didn't Cyber Pulse: Agentic Intel - Apps on Google Play I Built an AI PR Reviewer That Catches Bugs by Not Looking for Bugs Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout | Fortune How AI Is Reimagining the Game of Golf–For Both Players and Courses GitHub - nattergabriel/reseed: A CLI tool for managing and distributing agent skills across projects Is SVG the final frontier? My AI workflow evolved from prompts to a near-autonomous workflow MLSharp Help - 3DGS Viewer & Generator I put my cognitive field based AI's runtime on GitHub Is Numble the first AI-proof game? A3: Kubernetes for autonomous AI agent fleets | Emergent Principles Deepali Vyas ("The Elite Recruiter") GitHub - msmarkgu/RelayFreeLLM: A restful API designed to route user prompts to various AI model providers. Unionized ProPublica staff are on strike over AI, layoffs, and wages Unleashing the Advantage of Quantum AI We're heading for an AI-fueled 'dementia crisis,' brain scientist warns The AI-Assisted Breach of Mexico's Government Infrastructure [pdf] GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. MSN GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs AI Code is Hollowing Out Open Source, and Maintainers are Looking the Other Way What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI AI is the boss at this retail store. What could go wrong? GitHub - Wuzu11517/agentic-proxy: Local proxy meant to help reduce With Drones, Geophysics and ArtificiaI Intelligence, Researchers Prepare to Do Battle Against Land Mines A Single Operator, Two AI Platforms, Nine Government Agencies: The Full Technical Report 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - inevolin/resume-cli: Hit Claude usage limits? Resume any AI coding session elsewhere. Switch tools at zero friction. GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
GitHub - agent-sh/agent-workspace-linux: Isolated Linux desktop workspaces for AI agents — a hidden, agent-owned desktop and browser over MCP, so an agent can do GUI and web work without touching your real desktop.
anotherCodde · 2026-05-27 · via Hacker News - Newest: "AI"

CI License: MIT Platform: Linux Release

An isolated, hidden Linux desktop that an AI agent fully controls — over MCP — without ever touching your real mouse, keyboard, focus, or browser.

The agent-workspace-linux floating viewer (right) shows a live website being QA'd inside the hidden workspace while a Claude Code session (left) drives it — the user's real desktop is untouched.

The floating viewer (right) shows the agent doing live website QA inside the hidden workspace, while a Claude Code session (left) drives it. Your real desktop stays yours.

Agents that "use a computer" normally take over your screen — they move your mouse, steal focus, and drive your logged-in browser. agent-workspace-linux gives the agent its own desktop instead: a headless X11 display with its own window manager, apps, clipboard, and browser. The agent launches apps, types, clicks, screenshots, and browses there; you can watch (and pause) through a small floating viewer. It speaks MCP over stdio, so it drops into Claude Code, Codex, and other MCP hosts.

Why this project

  • Use it when an agent needs to QA a GUI app or a website but must not hijack your live desktop or Chrome session.
  • Use it when you want browser/web/shopping automation in a throwaway, isolated profile — observable and stoppable.
  • Use it when you need a clean Linux desktop to run, screenshot, and inspect an app, then tear it down.
  • Use it when a long-running or headless agent needs a desktop it can drive without a human babysitting the real one.

It is deliberately not a tool for driving your actual desktop — for that, use its sibling computer-use-linux. This one is the separate, agent-owned environment; the two are complements.

Install

Requires Linux. Install the runtime dependencies, then build and install in one step:

sudo apt install xvfb openbox xdotool xauth x11-utils imagemagick xclip \
    bubblewrap pkg-config libxkbcommon-x11-dev
./install.sh

./install.sh builds the release binary, installs it to ~/.local/bin/, and installs the bundled skill to ~/.codex/skills/ by default. It is safe to rerun. Codex MCP registration is opt-in: use --codex-configure only for generic MCP-host workflows. In Codex for Linux, use the dedicated Agent Workspaces feature page to configure the backend and permission ceiling so the generic MCP settings/configuration pages stay clean. If an older install still appears in generic MCP/configuration pages, run ./install.sh --clean-codex-config to remove the stale agent-workspace-linux server and tool tables. See install.sh --help for flags (--permissions, --clean-codex-config, --skills-dir, --no-skill, --dry-run).

Install with cargo (from source)

It builds from source straight from git — no crates.io needed. Install the system dependencies above, then:

# latest from main
cargo install --git https://github.com/agent-sh/agent-workspace-linux
# or pin a tagged release
cargo install --git https://github.com/agent-sh/agent-workspace-linux --tag v0.1.1

That puts agent-workspace-linux on your PATH. Unlike install.sh, it installs only the binary — register it with your MCP host manually (below), and copy skills/agent-workspace-linux/ into your skills directory if you want the bundled skill.

For MCP hosts that read .mcp.json:

{
  "mcpServers": {
    "agent-workspace-linux": {
      "command": "/home/YOU/.local/bin/agent-workspace-linux",
      "args": ["mcp"]
    }
  }
}

Or install the npm wrapper, which downloads the matching prebuilt Linux binary:

npm install -g @agent-sh/agent-workspace-linux

Prebuilt x86_64 and aarch64 Linux binaries are also attached to each GitHub Release — download the one for your architecture, chmod +x, and put it on your PATH.

Quick start

# 1. Ask the runtime what this machine can do (deps, display, sandbox backends)
agent-workspace-linux doctor

# 2. Preview a workspace without creating anything
agent-workspace-linux workspace start --dry-run

# 3. Create the hidden workspace (explicit acknowledgement required)
agent-workspace-linux workspace start --ack-hidden-workspace --purpose "QA run"

# 4. Watch it in the floating viewer
agent-workspace-linux viewer

# 5. Launch an app, see it, then stop the workspace
agent-workspace-linux workspace launch --name editor -- xterm
agent-workspace-linux workspace observe --screenshot --output /tmp/ws.png
agent-workspace-linux workspace stop

Through an MCP host you don't run these by hand — the agent calls the matching tools. Start it via the bundled skill so the agent loads only the tools it needs.

Who controls the boundaries

The single most important thing to understand is who sets the limits in each scenario — and the project is explicit about it:

Scenario Who sets the boundary What is enforced Can it be overridden at runtime?
Default (no --permissions) Your agent host (Claude Code, Codex, …) The MCP adds no ceiling of its own and defers to the host's approval flow. One explicit hidden-workspace acknowledgement scopes workspace-local actions to that environment. Yes — the host/user owns approvals.
Developer ceiling (--permissions file.json or AGENT_WORKSPACE_PERMISSIONS env) The developer / operator who launched the MCP Network mode, mount paths, and an app allowlist, enforced at both the MCP front-end and the workspace daemon's IPC socket — so even workspace-launched apps and other same-uid processes are capped. No — only by restarting the MCP with new config. This is the authoritative boundary.
Live viewer control (pause / read-only) The human watching, in real time Best-effort: honors a runtime pause when the shared control state is readable, and fails open if it isn't. It's a convenience layer, not the security boundary — the ceiling above is.
Workspace vs. host The runtime Input, screenshots, windows, clipboard, and browser control target the hidden workspace only — never your real desktop or host Chrome. Leakage to the host is a reportable bug.

In short: by default the agent host owns permission, a developer can lock a hard, daemon-enforced ceiling via flag or env, and the viewer gives a human a best-effort live stop — layered, not conflicting. See docs/permission-model.md and SECURITY.md for the full model and trust assumptions.

Core concepts

  • Hidden workspace — a private Xvfb display + window manager + control socket. Apps launched into it attach to that display, not your session. Creating one requires --ack-hidden-workspace so it is never silent.
  • Permission ceiling — optional, declared in JSON (network, mounts, apps). When set, it is enforced for the life of the MCP process. Mount and network isolation are applied with bubblewrap when available.
  • Profiles — reusable workspace definitions (mounts, network mode, setup commands, startup apps), e.g. profile template project-dev or browser-session.
  • Viewer — a small GPUI window that shows workspace state and a live screen view, with pause / read-only / stop controls. It is not always-on-top by default.
  • Workspace browser — workspace-owned Chrome/Chromium reached over a loopback DevTools endpoint, so browser automation never attaches to your host Chrome.

The skill (progressive tool loading)

The MCP exposes ~86 tools. To avoid dumping them all into the agent's context, it ships a skill at skills/agent-workspace-linux/SKILL.md. Only the skill's short description stays loaded; when a task needs an isolated desktop or browser, the agent reads the skill and it routes to the right tools per phase (orient → start → observe → act → stop), loading tool schemas on demand. ./install.sh installs it to ~/.codex/skills/ by default (override with --skills-dir; Claude users can pass --skills-dir ~/.claude/skills).

Features

  • Hidden X11 workspace with window listing, screenshots, keyboard/mouse input, clipboard, and per-app logs — all scoped to the workspace display.
  • Optional, daemon-enforced permission ceiling (network / mounts / app allowlist) via flag or AGENT_WORKSPACE_PERMISSIONS.
  • bubblewrap-backed mount and network isolation (disabled, local_only, inherit_host) when available.
  • Workspace-owned browser control over loopback CDP — discover targets, read pages, navigate, extract results.
  • A native floating viewer with best-effort live pause / read-only / stop.
  • Saveable profiles with setup and startup commands.
  • A bundled skill for low-context, on-demand tool use across MCP hosts.

Limitations

  • Linux only. Targets an X11 (Xvfb) workspace; the viewer is validated on X11/Xwayland, with native Wayland still maturing.
  • Pre-1.0. Interfaces and tool schemas can change between versions.
  • Single-user trust model. The control socket is a same-uid Unix socket (mode 0600); there is no cross-user protection by design. Run as a dedicated user for multi-user isolation.
  • Mount/network enforcement needs bubblewrap. Without it, those policies are declared but not enforced (the runtime tells you which).
  • Live viewer control is best-effort, not a hard guarantee — the permission ceiling is the authoritative boundary.

Docs

Related

  • computer-use-linux — the sibling MCP that drives the user's real Linux desktop. It is the inverse of this project: computer-use-linux automates the desktop you are already on, while agent-workspace-linux gives the agent a separate, isolated desktop of its own. Use them together — host control vs. sandboxed agent workspace.

Contributing

Contributions are welcome. Build with cargo build --locked; before pushing, run the gates: cargo fmt --check, cargo clippy --locked -- -D warnings, cargo test --locked, git diff --check, and (for runtime changes) scripts/integration_smoke.sh. See CONTRIBUTING.md and CODE_OF_CONDUCT.md.

License

MIT © Avi Fenesh