LobsterAI

LobsterAI

LobsterAI is NetEase Youdao's open-source desktop agent that you command remotely from WeChat, WeCom, DingTalk, or Feishu.

75/100Safe BetFreeFree

If your day runs through WeChat, WeCom, DingTalk, or Feishu and your real work lives on a desktop, LobsterAI is one of the few agents built for exactly that loop. Open-source code, local sessions, and the remote-dispatch skill system are the reasons to pick it over cloud agents or browser-only copilots. It is not a zero-setup chatbot — you must configure a model provider API key (or a local Ollama install) before the first task — so casual users expecting instant answers should look at a hosted assistant instead.

Verified 5d ago · liveness 75/100 · cite: rightaichoice.com/tools/lobsterai

Best for
  • Chinese office workers who dispatch tasks from WeChat, WeCom, DingTalk, or Feishu and get the finished file back
  • Analysts and ops staff who repeatedly turn local spreadsheets into charts, reports, and decks
  • Tech-savvy users who want an always-on desktop agent with local memory and auditable open-source code
  • Teams with sensitive documents who want sessions, configs, and memory to stay on the machine
Not ideal for
  • Users who want a quick-answer chatbot without installing or configuring a desktop app
  • Teams whose collaboration stack is Slack, Teams, or email rather than Chinese IM tools
  • People who need browser-only access from any device with zero local setup
Visit Website

IntermediatePlan on 10-20 minutes for a first useful task: install the macOS or Windows build, add a model provider API key in Settings → 模型 and pass the connection test, then ask for something small. Ollama users skip the key but need Ollama installed locally first. Connecting WeChat, WeCom, DingTalk, or Feishu for remote control adds a separate bot-configuration step.Desktop · MobileNo public APIVerified 5d ago
Pricing
Free
FreeFree tier6 hidden costs
Learning curve
Intermediate
Plan on 10-20 minutes for a first useful task: install the macOS or Windows build, add a model provider API key in Settings → 模型 and pass the connection test, then ask for something small. Ollama users skip the key but need Ollama installed locally first. Connecting WeChat, WeCom, DingTalk, or Feishu for remote control adds a separate bot-configuration step.
Runs on
DesktopMobile
No public API · 9 integrations
Who it's for
Operations analystStore owner or solo builderBusy manager away from the desk
Live sentiment
Is LobsterAI actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip LobsterAI if your team's collaboration stack is Slack, Teams, or email rather than WeChat, WeCom, DingTalk, or Feishu, or if you want browser-only access from any device with no local install.

The 30-second take
Biggest gripe

Running tasks consumes credits, and the changelog repeatedly adds top-up and subscription entry points for when your balance runs low — a 1000-credit unlock offer is aimed at new subscribers.

Price reality

LobsterAI is free to download and open source, with a paid credit/subscription layer for built-in model access and site deployment, plus a Team plan launched in v2026.8.14 covering team management, usage statistics, and per-member quotas. That structure is cheaper than managed cloud agents that bundle model calls into a flat seat price, but more expensive than configuring it with your own Ollama models, which costs only your hardware.

In short

LobsterAI — LobsterAI is NetEase Youdao's open-source desktop agent that you command remotely from WeChat, WeCom, DingTalk, or Feishu. Best for Chinese office workers who dispatch tasks from WeChat, WeCom, DingTalk, or Feishu and get the finished file back, Analysts and ops staff who repeatedly turn local spreadsheets into charts, reports, and decks, Tech-savvy users who want an always-on desktop agent with local memory and auditable open-source code. Free to use.

What's new in LobsterAI

Checked 5 days ago

Across the latest 5 updates: 4 changelog entries and 1 news mention.

What people actually say about LobsterAI — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

13 mentions across 2 sources (Hacker News, YouTube) · researched Aug 27, 2026.

55% positive45% critical

Average across the 2 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Local desktop deployment keeps your data on your machine—strong for privacy.
  • +Remote control via WeChat, Feishu, DingTalk, Telegram fits China-based workflows.
  • +Runs 24/7, executing queued tasks even when you're offline.
  • +Open-source framework (OpenClaw) offers a rich extension ecosystem.
  • +Supports global mainstream AI models—no single-vendor lock-in.
Recurring frustrations
  • −Almost no real community usage reports or detailed reviews online.
  • −A 'scam alert' video exists, undermining trust for new users.
  • −Positive buzz seems driven by one YouTube creator, not organic adoption.
  • −Setup requires technical proficiency; not for non-technical users.
  • −Remote control relies on Chinese messaging apps, limiting global appeal.
Patterns worth knowing
Frequent conflation with OpenClaw and LobsterBoard, not LobsterAI itself
Seen on YouTube
Skepticism over legitimacy, with 'scam alert' discussion
Seen on YouTube
Hype-driven praise from a single YouTube influencer promoting AI courses
Seen on YouTube
Learning curve
advancedProductive in ~Days of setup
Hidden costs people mention
  • • No paid tiers published yet, but future monetization is a real risk—users should monitor pricing changes
  • • Running resource-intensive tasks may require a capable machine, adding hardware cost

Viability Score

75/100
Safe Bet

How well maintained and how widely used is LobsterAI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
55
What the vendor publishes
40

Last calculated: October 2026

How we score →

Key Features

  • Runs as a local desktop agent on macOS (Apple silicon and Intel) and Windows, current build 2026.9.20
  • Remote task dispatch and result delivery via WeChat, WeCom, DingTalk, and Feishu
  • Built-in agent browser you can view and take over alongside a running task
  • Encrypted website login storage with opt-in agent auto-login
  • Data analysis that reads local spreadsheets and outputs visual HTML reports
  • Slide and presentation generation from research and local source material
  • Document writing, batch reading, and structured extraction into tables (.docx, .xlsx, .pptx, .pdf)
  • Application development from a plain-language requirement to a locally runnable app
  • Scheduled tasks that collect and deliver recurring briefings automatically
  • Task guidance that lets you add or adjust requirements while a task is running
  • Multi-agent collaboration configuration with visible subtask and execution records
  • Dual-layer memory covering session context and long-term work preferences
  • Expert bundles packaged by work scenario (product, marketing, data)
  • Skill and connector hub with MCP JSON config import
  • Skills and connectors ecosystem built on the OpenClaw agent framework (OpenClaw 2.0)

About LobsterAI

FreeIntermediateNo APIDesktop · Mobile

LobsterAI (有道龙虾) is a desktop-level AI agent from NetEase Youdao that runs on your own Mac or Windows machine rather than in a browser tab. It connects to local files, the terminal, the browser, and local projects, so data analysis, slide decks, document writing, web research, and even small application builds happen inside your real working environment. Current builds are versioned 2026.9.20, with separate installers for Apple silicon Macs, Intel Macs, and Windows. The core loop is remote command of a machine that stays on: send one message from WeChat, WeCom, DingTalk, or Feishu and LobsterAI keeps working on the desktop, then returns the finished artifact — store-manager.html for a small-shop inventory app, 产品增长分析.html for a growth report, .pptx research decks, or .xlsx candidate screening sheets. Underneath sits an OpenClaw-based skill ecosystem (upgraded to OpenClaw 2.0 in the September 2026 releases), expert bundles organized by role (product, marketing, data), scheduled tasks, and a skill/connector hub that includes MCP JSON import and a QiChaCha MCP authorization. A dual-layer memory keeps session context plus long-term preferences such as "give conclusions first." Because the source code is public on GitHub and sessions, configs, and memory stay local, you can audit permissions and tool-call records. This is not a generic chat assistant: it trades setup effort for local execution, Chinese IM control, and self-hosted data.

Behind the Verdict

LobsterAI's differentiator is where the work happens. Every other popular agent asks you to upload files into someone's cloud; LobsterAI runs on the machine that already holds your spreadsheets, contracts, and repos. Sessions, configs, and memory stay on the local disk, tool calls are gated and recorded, and the whole codebase is public on GitHub — so a security-conscious team can actually review what the agent is allowed to touch. The September 2026 changelog shows steady hardening rather than feature theater: the OpenClaw runtime moved to 2.0 (v2026.9.14, 2026.9.17), scheduled-task WeChat push delivery can now be re-sent on its own if a report doesn't arrive, and config hot-reload was reworked so in-flight IM conversations and scheduled jobs aren't killed by a gateway restart. The skill library is the practical selling point. Document handling covers .docx, .xlsx, .pptx, and .pdf; there are developer skills for Playwright browser automation, Remotion programmatic video, Canvas design, and frontend component generation; and skill-creator lets you package your own workflow so it recurs. Expert bundles (product manager, marketing, data) install a group of skills at once instead of one by one. Recent releases added an optional built-in agent browser you can watch and take over in the task pane, encrypted website login storage with opt-in auto-login, Markdown file editing with live preview, task guidance that lets you adjust requirements mid-run, multi-agent collaboration configuration, folder-as-context uploads, and a "my files" hub that unifies local artifacts, cloud shares, and deployed sites. Weaknesses are real. Setup is the entry fee: you need an API key from a provider (OpenAI, Anthropic, Google, DeepSeek, Moonshot, Zhipu, MiniMax, Qwen, Doubao, OpenRouter, xAI, or a local Ollama endpoint) or the packaged model route, and the docs and site are primarily Chinese. It is desktop-only — mobile interaction means messaging it, not using an app. The fast release cadence (80 versions logged) means you will be updating often, and the DeepSeek Harness and OpenClaw 2.0 work is recent enough that early builds needed compatibility patches on some machines. Where it fits: analysts, ops staff, and solo builders who repeatedly turn local spreadsheets into reports, decks, and screening tables, and who want a 24/7 job runner. Where it doesn't: teams standardized on Slack, Teams, or email; anyone who wants browser-only zero-install access; and buyers who want a fully vendor-managed service.

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Real-world workflow fit

Concrete scenarios for the personas LobsterAI actually fits — and what changes day-one when you adopt it.

Operations analyst

Uploads 上月销售数据.xlsx, enables the xlsx and docx skills, and asks for a report with Top-10 products, month-over-month trends, and charts.

Outcome: A formatted Word report with trend and bar charts lands locally in 5-10 minutes instead of the 1-2 hours the manual path takes.

Store owner or solo builder

Sends one message describing a small-shop inventory system, then lets the agent draft requirements, write the code, and run it locally.

Outcome: A runnable store-manager.html opens on the machine with an inventory dashboard already wired up.

Busy manager away from the desk

Messages LobsterAI from WeChat to sort yesterday's meeting notes and send back the minutes.

Outcome: A 项目会议纪要.pdf with discussion highlights and follow-up action items arrives in the chat thread while the machine keeps working.

Use Cases

Models Under the Hood

DeepSeek v4 proDeepSeek Harness 0.1.1-rc.1Kimi K3GLM-5.2GPT-5.6Grok 4.5

as of 2026-09-27

Limitations

  • You must configure at least one AI model with an API key before first use (unless you run a local Ollama deployment), so a model provider account is required.
  • Desktop-only installation across macOS (Apple and Intel chips) and Windows; mobile interaction is limited to remote control through WeChat, WeCom, DingTalk, and Feishu rather than a mobile app.
  • Documentation and site content are primarily in Chinese.
  • The project ships updates frequently — the changelog logs 80 versions — so expect regular install/upgrade cycles; several 2026 releases specifically patched upgrade failures, repeated restarts, and Windows installer issues.
  • The OpenClaw 2.0 migration arrived in September 2026 and older configs, databases, and memory states may need the built-in repair flow.

as of 2026-10-04

Verification history

We have re-verified LobsterAI 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-checked, vendor evidence unchanged
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-checked, vendor evidence unchanged
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-checked, vendor evidence unchanged

Showing the 6 most recent of 8 verification passes.

Free to cite with attribution — this page re-verifies continuously.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Running tasks consumes credits, and the changelog repeatedly adds top-up and subscription entry points for when your balance runs low — a 1000-credit unlock offer is aimed at new subscribers.
  • Bringing your own model key means you pay that provider separately on top of anything you spend inside LobsterAI.
  • Built-in model access is tied to a subscription tier; model lists reload after login-session hiccups, so a lapsed or throttled account can leave you with an empty model picker mid-task.
  • Website deployment and cloud sharing sit behind subscription state — the September 2026 notes describe restoring sharing after re-subscribing and re-deploying manually.
  • Voice input runs on a quota: v2026.9.3 reworked the remaining-time reminder, so heavy dictation users can hit a cap.
  • Team plan members get their own quota allocation, so adding seats does not pool one shared credit bucket.

Where the pricing makes sense

The company stage and team size where LobsterAI's pricing actually pencils out — and where peers do it cheaper.

LobsterAI is free to download and open source, with a paid credit/subscription layer for built-in model access and site deployment, plus a Team plan launched in v2026.8.14 covering team management, usage statistics, and per-member quotas. That structure is cheaper than managed cloud agents that bundle model calls into a flat seat price, but more expensive than configuring it with your own Ollama models, which costs only your hardware.

Setup time & first value

How long it actually takes to get something useful out of LobsterAI — broken out by persona, not the marketing-page minute.

Plan on 10-20 minutes for a first useful task: install the macOS or Windows build, add a model provider API key in Settings → 模型 and pass the connection test, then ask for something small. Ollama users skip the key but need Ollama installed locally first. Connecting WeChat, WeCom, DingTalk, or Feishu for remote control adds a separate bot-configuration step.

Switching to or from LobsterAI

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From a browser-only copilot: install the desktop build and point its skills at the same local files you were uploading to the browser tool.
  • →From ChatGPT or Claude desktop chat: keep your existing provider account, add the API key in Settings → 模型, and move recurring jobs into scheduled tasks.
  • →From a manual report workflow: replace your spreadsheet-to-deck steps by enabling the xlsx, pptx, and docx skills and describing the output once.
  • →From Ollama-only local setups: LobsterAI accepts a local http://localhost:11434 endpoint, so existing local models carry over without a new provider account.
  • →From scattered task notes: rebuild recurring flows as scheduled tasks or custom skills via skill-creator so they run without re-prompting.
Migrating out
  • ↗To a hosted cloud agent: export your finished artifacts from 我的文件 and re-upload the source files to the cloud workspace.
  • ↗To a Slack/Teams-native assistant: keep LobsterAI's local documents and move routine notifications into your team's chat platform.
  • ↗To raw model APIs: your prompts and skill descriptions are portable, but the OpenClaw skill packaging and gated permissions are not.
  • ↗To a plain automation tool: scheduled tasks that only fetch and deliver reports can move to a cron plus scripting setup; agentic web operations cannot.
  • ↗To a different open-source agent framework: because LobsterAI is open source, its skill definitions can be reviewed and adapted rather than rebuilt blind.

Integrations

WeChatWeComDingTalkFeishuGitHubPOPOQQOllamaOpenRouter

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “LobsterAI”, and we withheld 6: 6 could not be judged, because “LobsterAI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about LobsterAI.

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