OpenWork vs Trama: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of OpenWork and Trama — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
O
OpenWork
different.ai / OpenWork Labs
Open-source desktop app and MCP for sharing AI workflows — an OSS alternative to Claude Cowork and Codex.
Key features
- 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.
Best for
- 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.
Trama
Trama
A macOS app that turns a plain-English description of a repetitive task into a native background automation, with no code or diagrams.
Key features
- Plain-Language Automation Builder: Press Cmd+Option+X from any app, describe the task in ordinary English, and Trama assembles the steps for you — no syntax, drag-and-drop or diagram builder involved.
- Reviewable Steps Before Activation: Trama shows every step it built and explains each decision, so nothing runs until you read it and switch it on; any automation can be disabled instantly from the menu bar.
- Native Mac Reach: Automations can drive AppleScript, shell scripts, OCR and screen awareness on the local machine, giving it capabilities cloud-based automation platforms cannot reach.
- Multiple Trigger Types: Fire automations from the clipboard, a screenshot, a schedule or a custom keyboard shortcut — for example OCR-ing every receipt screenshot into an expense spreadsheet.
- Self-Diagnosing Failures: When an automation breaks, the AI reads the error, explains it in plain English and offers a one-click fix, so you never need to debug the automation yourself.
- Pattern Suggestions: Trama observes what you copy, open and repeat, and after a few occurrences surfaces a suggested automation you had not thought to build.
- Bring Your Own AI Key: Use Anthropic, OpenAI, Gemini or Groq credentials so inference calls go directly from your Mac to your provider with no middleman, or let Trama handle it by default.
- Broad Integration Catalog: Connect Gmail, Google Calendar, Sheets and Drive, Slack, Notion, GitHub, Linear, Jira, Airtable, Telegram, Discord, Apple Notes and Reminders, or any HTTP endpoint from one Integrations panel.
Best for
- Morning Briefing: At a set time each morning, summarise unread email, highlight the day's calendar and post the digest to a team Slack channel automatically.
- Screenshot Data Extraction: OCR every receipt or error screenshot you take, parse the amount and merchant, and append a row to a Google Sheet or place the explanation in your clipboard.
- Weekly Status Reports: Pull completed tasks from Linear or Jira every Friday afternoon, draft the update and post it to the team channel without touching it.
- Competitor Research Capture: When you copy a competitor's product URL, have Trama read the page, write a short bulleted analysis and file it as a Notion entry.
- Pull Request Summaries: Copy a GitHub link and get a three-bullet summary of the PR back on your clipboard within seconds.
- Clipboard Rewriting: Bind a shortcut that turns whatever you copied into a cleanly structured Slack message or outline, ready to paste.