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Monolithos vs OpenRig

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

Monolithos compared with OpenRig
Detail MonolithosOpenRig logo OpenRig
What it doesPersonal Agent OS built from memory you own A persistent team of coding agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Open source
PricingNot given Not given
Key features
  • User-owned memory in Markdown and YAML
  • Eight modules: Memory, Flow, Black Hole, Minutes, Codex, Prism, Audio, Facet
  • Multi-step AI tasks with human approval checkpoints
  • Meeting transcription sealed into memory
  • Markdown-to-presentation generation with Prism
  • Audio generation from notes
  • Visual asset library with provenance tracking
  • Private domain boundaries to exclude content from cloud AI
  • Project mode to bind files and conversations into sealed context
  • Compatible with existing Obsidian vaults without migration
  • Start teams with one command and manage agents across multiple machines
  • Mix Claude Code, Codex and Pi agents in one team
  • Agents delegate and coordinate work with named task assignments and queue ownership
  • Agents message each other directly and read each other's screens
  • Restore agent conversations after restart or reboot from snapshots
  • Choose different models and reasoning effort per agent
  • Bring custom harnesses and integrate with MCP servers and Claude Desktop
  • Start Docker Compose services alongside agent teams
  • Control message filtering with typing guards and chat broadcasts
What makes it different
  • Memory and data remain on your device and under your ownership, never used for model training
  • Files stay readable as plain Markdown and YAML with any text editor; no vendor lock-in possible
  • Works with existing Obsidian vaults natively without import or conversion
  • Private-domain content stays out of cloud AI context automatically
  • AI recall includes sources so you can see what answers are based on
  • One conversation interface with a lead agent coordinating specialists behind the scenes
  • Mix multiple coding models and harnesses in one managed team
  • Run entirely self-hosted on your own machine with no external coordination
  • Open source with Apache 2.0 license and extensible harness contracts
Community votes00
DR (Domain Rating by Ahrefs)3 no change since last check28 no change since last check
Trust Flow (Majestic)96
Citation Flow (Majestic)2136
Referring domains (Majestic)22191

4 details filled in for both companies.

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