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Goose vs WorkBuddy

Bottom line

Goose is free, while WorkBuddy has a free plan plus paid upgrades. Goose is open source and WorkBuddy is not. You can run Goose on your own machine or server; WorkBuddy is hosted by the vendor.

Which one should you try?

Goose

Free

Best for Developers who want an open-source agent for file and shell tasks

Visit Goose See full review

WorkBuddy

Freemium

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

Visit WorkBuddy See full review

Field notes

All field notes →

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

Goose

Goose

Goose is an open-source agent with a desktop app, CLI and API, MCP extensions and reusable recipes. We ran it on three tasks with a local 3B model and with Claude Opus 5.5.

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.

AttributeGooseWorkBuddy
PricingFreeFreemium
Price—Free (100 credits/mo); Pro $10/mo or $96/yr; Team $40/seat/mo
Pricing checkedNot checked yetOct 19, 2026
Free trialNot statedNot stated
Open sourceYesNo
Has APIYesYes
Self-hosted optionYesNo
PlatformsmacOS, Linux, WindowsmacOS (Apple Silicon and Intel), Windows (x64, ARM64); remote tasks via Slack, Telegram, Discord, WeChat Work, Feishu, DingTalk, QQ
Released20252026-03-09
Pros
  • Passed 5 of 9 tasks with a 3B local model, the best of the three agents we tested.
  • Lowest token use with Claude Opus 5.5: about 7,800 tokens per task and $0.14 for all 9 runs.
  • A small fixed prompt (about 1,150 tokens), a tenth of Hermes Agent's.
  • Desktop app, CLI and API, with MCP extensions and recipes you can reuse.
  • 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
  • With a 3B model it got only 1 of 3 report summaries and 1 of 3 CSV counts right, so plan on a bigger model for real work.
  • It contacts models.dev on every run (it kept working when we blocked it).
  • Running Goose locally doesn't keep your data local by itself; that depends on the model provider and extensions you connect.
  • 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?

Goose

Free

Best for Developers who want an open-source agent for file and shell tasks

Visit Goose 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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