⚖️Side-by-Side Comparison

Meridian vs Hemory: 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
Meridian logo
Meridian

Productivity & Automation

Hemory logo
Hemory

Productivity & Automation

RatingNo reviews yetNo reviews yet
PricingFree

as of Sep 30, 2026

  • Free Trial:$0
  • Starter:$10/mo/mo
  • Pro:$20/mo/mo
  • Max:$50/mo/mo

as of Sep 26, 2026

Pricing ModelFreeFreemium
Free Plan
Free Trial
API Available
Verified
Founded——
HQ——
Team Size1-10—
Platforms——
Top Integrations——
Key Features
  • Automatic activity logging
  • Plain-English daily summaries
  • Project-tool integrations
  • Fully on-device and encrypted
  • Always-on voice memory
  • MCP connection to coding agents
  • 100-language transcription + speaker recognition
  • Type-aware summaries & minutes
  • Built-in Q&A agent
Description

Meridian is an open-source AI work journal that runs entirely on the user's device, quietly observing which apps and tasks are used throughout the day and how long each takes, then writing it up in plain English by the end of the session. Because the timeline is built from what actually appeared on screen rather than what a person remembered to log, the resulting record reflects real activity instead of a self-reported summary. It connects to Jira, Linear, GitHub Projects, Azure DevOps, and Trello, and can auto-draft status updates for those tools directly from the day's activity. All captured activity, analysis, and journal entries are stored in an encrypted, on-device database — there's no cloud, no account, and no setup ceremony required to start. Meridian is MIT licensed and built in Rust, and runs on macOS (Apple Silicon or Intel) and Windows 10/11.

Hemory is a personal-memory app that listens passively via a phone or Apple Watch you already own and turns your day into a searchable, private memory -- automatically split into moments with speaker labels, not a meeting-transcription tool. It connects over MCP to AI agents like Claude, Codex, or Cursor, so those agents can pull real context from conversations you actually had instead of starting from a blank slate. It is aimed at people who want their AI assistants to have continuity with real-world conversations rather than only chat history.