BenchRank
#8 in Automation & WorkflowUpdated 2026-08

OpenWork

by OpenWork · Open-source desktop app for running AI agents with your own model keys

70.8 — BenchRank score out of 100

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  • Pricing page

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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

Pricing

Published plans from OpenWork’s own pricing page, in USD. Usage charges and add-ons may apply on top.

OpenWork pricing tiers, monthly rates in USD
PlanMonthlyIncludes
Solo
  • Open source desktop app
  • macOS and Linux downloads
  • Bring your own keys
  • Free forever
Team starter$10per seat
  • First 5 seats free
  • API access
  • Extension Marketplace
  • Bring your own LLM keys, distributed to your team
EnterpriseContact sales
  • Everything in Team starter
  • SSO / SAML and SCIM provisioning
  • Bring your own inference, self-hosted or private models
  • Managed deployment, desktop policies and version controls

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support
60 out of 100
API quality
30 out of 100
Documentation
80 out of 100
Agent friendliness
100 out of 100
Pricing transparency
100 out of 100
Changelog
100 out of 100
Marketing site structure
65 out of 100
Operational trust
50 out of 100

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
55 out of 100
Maintenance
100 out of 100

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