Monolithos vs Search2o

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 Search2o
Detail	Monolithos	Search2o
What it does	Personal Agent OS built from memory you own	A platform to build, run, and use AI microagents through search
Stage	Not given	MVP
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Freemium	Free trial
Pricing	Not given	The agent server is free and source available with no license fee. Search2o Cloud is free during the beta period. Production pricing will include a platform fee, developer fee, storage fee, and usage fee with no per-user charges. Paid service planned for January 2027.
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	Built-in agent discovery and multi-agent conversations Agent framework to define and publish agents Encrypted conversations and memories by default Multi-user access with four roles plus service accounts Human-in-the-loop controls for critical actions Stateless horizontally scalable architecture Environment profiles for dev and prod Source available server and UI
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	Search that retrieves and runs AI workflows instead of matching documents Agents that combine deterministic workflows with LLM-driven reasoning Hybrid cloud architecture requiring only stateless servers in your environment No per-user licensing, pay only for developers, storage and usage Enterprise-grade reliability and security standards
Community votes	0	0
DR (Domain Rating by Ahrefs)	3 no change since last check	2 −1 (down) since last check
Trust Flow (Majestic)	9	0
Citation Flow (Majestic)	21	24
Referring domains (Majestic)	22	12

4 details filled in for both companies.

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