OpenWork
by OpenWork · Open-source desktop app for running AI agents with your own model keys
BenchRank score
Screenshots of OpenWork
Homepage
Overview
OpenWork is an open-source desktop app for macOS, Windows and Linux that runs AI agents against your own files, built on OpenCode. You connect your own API keys across 50+ LLM providers, and in desktop mode files stay on your machine while prompts go to the provider you pick. Skills, MCP servers, plugins and configs can be packaged into a single link teammates import in one click.
- Best for
- Teams wanting a local, open-source AI agent desktop app and a way to share setups across the org
- Pricing
- Free open-source desktop tier, Team starter at $10 per seat per month with the first 5 seats free, and Enterprise at custom pricing.
- Runs on
- WebmacOSWindowsLinuxSelf-hosted
Strengths and trade-offs
Strengths
- Free, open-source desktop app with bring-your-own provider keys
- Works with 50+ LLM providers rather than a single vendor
- Desktop mode keeps files on your machine
- Skills, MCPs and configs share as one link, imported in one click
Trade-offs
- You supply and pay for LLM API keys separately
- MCP access verified only in OpenCode; other clients are setup guides only
- Pricing page lists macOS and Linux downloads; the FAQ also claims Windows
- SSO, SCIM and self-hosted inference need a custom-priced Enterprise plan
How OpenWork markets itself
A structured read of the promise, proof and page design on OpenWork’s captured homepage.
Homepage capture
“The open source Claude Cowork alternative.”
- Angle: Contrarian / anti-incumbent
- Hero: Product screenshot
Pricing
Published plans and prices from OpenWork’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The OpenWork pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
Claim OpenWork to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.