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Agentage Memory vs Ryph

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

Agentage Memory compared with Ryph
DetailAgentage Memory logo Agentage MemoryRyph logo Ryph
What it doesOne memory. Every AI. Owned by you. Open-source AI agent orchestration platform for incident response and automation
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFree Open source
PricingNot given Not given
Key features
  • Connect once through MCP endpoint across Claude, ChatGPT, Cursor and Claude Code
  • Shared memory automatically synced across all connected AI tools
  • Plain markdown storage with YAML frontmatter
  • EU-hosted data with no vendor lock-in
  • Lexical search across memory
  • No API keys or complex configuration needed
  • Account created automatically on first connection
  • 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
  • Cross-vendor memory through MCP instead of locked to one assistant
  • Plain readable markdown you own forever, not black-box vectors or rented format
  • EU-hosted by architecture so data stays in your region
  • Survives AI tool changes and deprecations unlike built-in assistant memory
  • No maintenance needed unlike DIY scripts and cron jobs
  • 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)17 −1 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)120
Citation Flow (Majestic)320
Referring domains (Majestic)840

4 details filled in for both companies.

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