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Kimi WebBridge vs WorkBuddy

Kimi WebBridge has been renamed the Kimi Browser Extension, and on its own it isn't a WorkBuddy rival: it's a Chrome and Edge add-on that lets an AI agent click and type in your real browser. The product people searching "Kimi Work vs WorkBuddy" want is Kimi Work, Moonshot AI's desktop agent, which uses that extension for browser tasks. Kimi Work and Tencent's WorkBuddy really do overlap: both are desktop apps that turn a one-line request into documents, spreadsheets and slides.

Kimi Work against WorkBuddy

Kimi Work is the Work mode of the Kimi desktop client. It launched on 3 June 2026 and is still labeled beta. It splits a goal into tasks, runs them in parallel, works on local files, operates the browser through the extension (logins and page content stay on your device, Moonshot says), and runs scheduled jobs. It asks before overwriting files or running code. Since version 3.1.0 it runs on Kimi K3, whose weights are on Hugging Face under a custom Kimi K3 License.

WorkBuddy doesn't say which models it uses, needs an internet connection to reach them, and lets you send it tasks from Slack, Telegram, Discord, WeChat Work, Feishu, DingTalk or QQ while the app runs on your computer.

Check your hardware: Kimi Work needs an Apple silicon Mac on macOS 12 or later, or Windows 10 or later. WorkBuddy also runs on Intel Macs and on Windows ARM64.

Paying for each

WorkBuddy has a free plan with 100 credits a month. Pro is $10 a month or $96 a year for 2,000 credits; Team is $40 a seat.

Kimi's international plans are Plus at $19 a month ($180 a year), Pro at $39, Max at $99 and Ultra at $199. Kimi Work draws from the same credit pool as Deep Research, slides, Kimi Code and the rest, so heavy agent use eats into everything else. Mainland China plans are priced separately in yuan. The membership page doesn't describe a free tier for agent features.

Kimi WebBridge: Pick Kimi (Kimi Work plus its browser extension) if you want an agent that operates your logged-in browser locally and you're on an Apple silicon Mac or Windows 10 or later.

WorkBuddy: Pick WorkBuddy if you want a cheaper entry ($10 Pro or a free tier), an Intel Mac or Windows ARM64 build, or task control from WeChat Work and Feishu.

Facts checked Oct 18, 2026 against 8 sources

Which one should you try?

Kimi WebBridge

Freemium

Best for Teams needing cost-effective frontier-tier agentic AI

Visit Kimi WebBridge See full review

WorkBuddy

Freemium

Best for Office professionals handling repetitive multi-step document and data workflows

Visit WorkBuddy See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Kimi WebBridge

Kimi WebBridge

The platform handles long-horizon coding tasks, parallel document research, and full-stack web generation through a coordinated swarm architecture — the vendor states K2.6 scales to 300 sub-agents running concurrently. The model weights are open-source under a Modified MIT license, so teams with strict data governance can run inference locally rather than routing sensitive payloads to a cloud endpoint. Where the friction surfaces is at the edges: the scraped interface shows a broad surface — Slides, Websites, Docs, Deep Research, Sheets, Agent Swarm, Kimi Code, Kimi Claw — and integrating any of those outputs into an existing CI/CD pipeline requires API work the UI does not abstract. Teams building beyond Kimi's native surfaces reach for the API fast.

WorkBuddy

WorkBuddy

WorkBuddy runs as a local-first agent on the desktop, autonomously chaining file access, web search, and document generation into single-prompt workflows. The Tencent ecosystem fit is real: WeCom and WeChat integrations mean scheduling and messaging tasks route without extra setup, which matters if your organization already lives there. Outside that ecosystem, the integration surface narrows fast. Teams running mixed SaaS stacks report reaching for MCP-compatible connectors to fill the gaps — which adds configuration overhead the tool is supposed to eliminate. Self-hosted execution is the headline privacy story, but the closed-source codebase means you audit what the vendor discloses, not the code itself.

AttributeKimi WebBridgeWorkBuddy
PricingFreemiumFreemium
PriceNo separate extension price listed; Kimi plans Plus $19/mo, Pro $39/mo, Max $99/mo, Ultra $199/mo (international)Free (100 credits/mo); Pro $10/mo or $96/yr; Team $40/seat/mo
Pricing checkedOct 19, 2026Oct 19, 2026
Free trialNot statedNot stated
Open sourceNoNo
Has APIYesYes
Self-hosted optionYesNo
PlatformsChrome and Edge extension; used from the browser sidebar, the Kimi desktop app (Kimi Work) or other agentsmacOS (Apple Silicon and Intel), Windows (x64, ARM64); remote tasks via Slack, Telegram, Discord, WeChat Work, Feishu, DingTalk, QQ
Released2026-04-202026-03-09
Pros
  • Agent Swarm scales to 300 concurrent sub-agents for parallel task execution, so batch workflows that would serialize and stall on a single-agent platform finish in a fraction of the wall-clock time.
  • K2.6 model weights are open-source under Modified MIT license, which means teams blocked by cloud data-routing policies can deploy locally without waiting for a vendor's private-cloud SKU.
  • Provider-native vision and coding surfaces (Kimi Code, full-stack web generation) handle UI/UX generation from descriptions or screenshots, so prototypes that would normally require a separate design-to-code pipeline can be produced in one session.
  • API access exposes the underlying model for programmatic use, so teams building their own agent orchestration can call K2.6 directly rather than wrapping a closed model they cannot inspect or self-host.
  • Freemium access to the chat and base agent tier lets teams validate the model's output quality on real tasks before committing API budget — avoiding the demo-to-invoice surprise common on credit-card-required platforms.
  • Local-first task execution keeps data on the user's machine, so workflows handling sensitive documents avoid the exposure risk that comes with cloud-routed agents.
  • Single-prompt initiation for multi-step workflows — web search, spreadsheet processing, and document generation chained together — so the work that normally requires three open tabs and manual copy-paste completes in one request.
  • Native WeCom and WeChat integration means scheduling, messaging, and file tasks inside the Tencent ecosystem require no connector setup, which removes the glue-code burden for teams already on those platforms.
  • API availability lets engineering teams embed WorkBuddy's agent capabilities into existing internal tools, so the automation layer doesn't require users to switch contexts into a separate product.
  • Self-hosted deployment option gives infrastructure teams control over where the agent runs, so organizations with strict data residency requirements aren't forced into a shared-cloud model.
Cons
  • Agent Swarm's parallel execution lives on the cloud platform; teams that self-host K2.6 weights get the model but not the swarm infrastructure, so local deployments are limited to single-agent or custom-orchestrated workflows — at which point teams are building orchestration themselves rather than using Kimi's.
  • The native output surfaces (Slides, Sheets, Websites, Deep Research) do not expose direct connectors to third-party systems, so any team needing Kimi's outputs to land in an existing CMS, project tracker, or data warehouse must build and maintain an API integration layer — adding a second system to own.
  • Teams requiring auditable, step-level observability into what each sub-agent executed — a compliance requirement in regulated industries — find that the current platform surface does not expose granular agent logs, which is the condition under which those teams move to an open orchestration framework like LangGraph or CrewAI where they control the trace.
  • Workflows that cross outside the Tencent ecosystem — touching Slack, Google Workspace, Salesforce, or other common SaaS tools — require MCP connector configuration that adds setup overhead and maintenance surface the product's pitch implicitly promises to eliminate; teams with heterogeneous stacks hit this wall on the first real cross-tool workflow.
  • The closed-source codebase means security teams cannot verify what 'local execution' actually means at the code level; organizations whose compliance posture requires a source audit switch to an open-source agent framework instead.
  • Complex branching logic — workflows where step three depends on what step two returned, with different paths for different outcomes — is not documented as a supported capability; teams needing conditional task routing report building a separate orchestration layer, which defeats the no-code premise.

Made up your mind?

Kimi WebBridge

Freemium

Best for Teams needing cost-effective frontier-tier agentic AI

Visit Kimi WebBridge See full review

WorkBuddy

Freemium

Best for Office professionals handling repetitive multi-step document and data workflows

Visit WorkBuddy See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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