⚖️Side-by-Side Comparison

Manus vs OpenHistory: Which is Better in 2026?

We've compared 2 tools across pricing, features, ratings, and reviews to help you make an informed decision. No paid placements — just facts.

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Feature
Manus logo
Manus

Productivity & Automation

OpenHistory logo
OpenHistory

Productivity & Automation

RatingNo reviews yetNo reviews yet
Pricing
  • Free:$0/mo
  • Basic:$20/mo
  • Plus:$40/mo
  • Pro:$200/mo

as of Sep 9, 2026

Free

as of Sep 30, 2026

Pricing ModelFreemiumFree
Free Plan
Free Trial
API Available
Verified
Founded2025—
HQSingapore—
Team SizeFreelancers, Small Business, Enterprise1-10
Platforms——
Top Integrations
SlackGmail
—
Key Features
  • Autonomous web app / agent
  • Manus browser operator
  • Wide Research
  • AI slides
  • AI design
  • +7 more
  • Permission-scoped activity capture
  • Hourly and daily summaries
  • Local AI agent access
  • No sensitive capture by design
  • No telemetry
Description

Manus is a general-purpose autonomous AI agent that takes a natural-language goal and independently carries out multi-step work—browsing the web, writing and running code, building websites and apps, generating slides, images, and music, and running large-scale ('Wide') research. It's aimed at knowledge workers, founders, developers, and teams who want an agent that executes end-to-end rather than just chatting, and its main differentiator is this hands-off, agentic 'less structure, more intelligence' approach across many task types in one tool. It's cloud-based with a credit-metered model and offers team, SSO, and API options for organizations.

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.