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Kasset vs Ryph

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Kasset compared with Ryph
DetailKasset logo KassetRyph logo Ryph
What it doesAI note taker for online meetings and in-person conversations Open-source AI agent orchestration platform for incident response and automation
StageMVP Not given
FoundedNot given Not given
Based inBE Not given
Pricing modelPaid Open source
PricingKasset Core: €19/user/month or €180/user/year. Kasset Pro: €39/user/month or €384/user/year (includes one Plaud device on annual plan). Plaud devices can be purchased separately: Plaud Note Pro €189, Plaud NotePin S €159. Not given
Key features
  • Records online meetings from your computer without a bot joining the call
  • Captures conversations on iPhone and with Plaud Note Pro and NotePin S devices
  • Transforms conversations into structured notes with decisions and next steps
  • Integration with Claude, ChatGPT and Copilot through MCP protocol
  • Data stored and processed in the EU by default
  • GDPR compliant with no model training on user conversations
  • 1,200 transcription minutes per month on Core, unlimited on Pro
  • Incident response with agent investigation and pull request generation
  • Automated workflows triggered on schedules or webhooks
  • Agent summoning from GitHub, GitLab and Radicle with /ryph command
  • Semantic memory system for shared and persistent agent learning
  • Credentials kept behind gateways with no access in sandbox
  • Customized environments per repository with cached dependencies
  • Browser use for agent interactions with live watching
  • Artifacts and pages for reports and overviews
  • Deployment options from laptop to Kubernetes
  • Tool proxy with allowlisted MCP server integrations
What makes it different
  • Records meetings without a bot joining the call, keeping your conversations private
  • Single unified library for online meetings, phone calls and in-person conversations
  • Never trains models on your conversations
  • Agents work without holding real credentials or keys
  • Changes ship as patches that require review before merge
  • Runs on your own infrastructure from laptop to cloud
  • Semantic memory learns across runs with deduplication and contradiction handling
  • Built-in safety assuming agents can be manipulated or exploited
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)12 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)50
Citation Flow (Majestic)170
Referring domains (Majestic)18660

4 details filled in for both companies.

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