OpenWork vs siift: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of OpenWork and siift — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

OpenWork

different.ai / OpenWork Labs

Free

Open-source desktop app and MCP for sharing AI workflows — an OSS alternative to Claude Cowork and Codex.

OpenWork MCP: One MCP server exposing search_capabilities and execute_capability to any compatible agent.
Cross-Agent Skill Reuse: Same skills work inside Codex, Claude Code, Cursor, ChatGPT, and other MCP clients.
Cross-Platform Desktop App: Optional macOS, Windows, and Linux workspace for people who prefer a dedicated UI.
Google Workspace + Microsoft 365 Connections: Bring shared connected services into your agent via one MCP.
Shareable Workflows: Create once, keep private, or share with coworkers and friends.
Admin Interface: For organizations — publish capabilities, manage access, configure shared connections.
Powered by opencode: Built on the open-source opencode runtime.
Fully Free and Open Source: No paid tier, no vendor lock-in.

Coding Agent Toolkit: Give Cursor or Claude Code a shared set of skills and MCPs across machines.
Team Skill Library: Publish reusable AI workflows so teammates can invoke them from their preferred agent.
OSS Alternative to Cowork: Replace closed-source workflow suites with a self-hosted OSS stack.
Personal Automation Hub: Keep private skills across ChatGPT, Codex, and Claude Code without re-authoring each time.
Enterprise Rollout: Use the admin UI to give employees curated, access-controlled AI capabilities.
Connecting Google/Microsoft to Agents: Reuse one Workspace/365 connection across every agentic client.

Freemium

An agentic AI operating system that helps founders map, validate and execute business strategy on one intelligent canvas.

Intelligent Business Canvas: A visual workspace that maps ideas, assumptions, actions and results into decision-ready filters so the whole business can be seen at once.
Living Memory System: A scalable agentic memory that learns as the business evolves and keeps context aligned across tools, data and teammates.
AI-Scored Validation: Automated, continuous research that grades assumptions into evidence so founders know what is validated and what is still risky.
Five-Stage Execution Loop: Guided progression through Ideate, Validate, Build, Go To Market and Scale, each with its own AI-driven workflow.
Safe Stack Automations: Human-in-the-loop actions across 80+ popular applications so approved work executes without leaving the canvas.
Shareable Workspaces: Collaborative views that let teammates, advisors and other stakeholders work from the same strategy context.
Proactive Next-Step Guidance: Personalized, iterative advice that surfaces the highest-leverage action rather than a generic checklist.
Credit-Based AI Usage: Monthly request credits scaled by plan and weighted by task complexity, with unlimited projects even on the free tier.

Idea Validation: De-risking a new business concept by turning founder assumptions into automatically researched, scored evidence before building.
Strategy Mapping: Turning a cloud of unstructured ideas into a visual mind-map that exposes blindspots across the business model.
Go-To-Market Planning: Iterating on sales and marketing with an AI-native loop that tests which channels actually produce revenue.
Product Prioritization: Helping product leaders decide what to build next based on verified market opportunities rather than intuition.
Scaling Diagnostics: Systematizing an existing business to surface its current growth constraints and reverse-engineer fixes.
Advisor Collaboration: Sharing a single live strategy workspace with co-founders, advisors and investors instead of static decks.