OpenHistory vs Adept AI: Which is Better in 2026?

as of Sep 30, 2026

• Enterprise:Contact Sales

as of Sep 8, 2026

• Permission-scoped activity capture
• Hourly and daily summaries
• Local AI agent access
• No sensitive capture by design
• No telemetry

• ACT-1 Action Transformer
• Natural Language Command Execution
• Cross-Application Workflows
• Adept Workflow Language
• Screen Perception
• +1 more

OpenHistory is an open-source macOS app that builds a private, searchable timeline of a user's work by observing only the foreground activity they explicitly permit — window names, document context, browser domains, clicks, and visible interface text via macOS Accessibility APIs. It generates hourly and daily summaries and gives approved local AI agents a controlled way to answer questions about what the user did, using Apple's local Foundation Model by default or, optionally, OpenAI, Anthropic, or Kimi. By design, it does not capture screenshots, audio, camera or microphone input, passwords, private browser windows, or low-level keystrokes, and sends no analytics or telemetry of its own. All activity, timelines, summaries, settings, and agent connections are stored in a permission-restricted directory on the user's own Mac. It requires macOS 14 or later and is available on GitHub and via a direct download from its own site.

Adept AI builds action-oriented AI agents, headlined by its ACT-1 Action Transformer, that perceive on-screen interfaces and carry out multi-step digital tasks such as navigating apps, clicking, typing, extracting data, and filling forms from natural-language instructions. It targets enterprise operations teams in areas like supply chain, financial services, and healthcare that want to automate repetitive software workflows across tools such as Salesforce and Excel. Unlike script-based RPA, it reasons about screen state visually and adapts its plan after each action rather than following brittle predefined macros.