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Monolithos vs SDR Pilot

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 SDR Pilot
Detail MonolithosSDR Pilot logo SDR Pilot
What it doesPersonal Agent OS built from memory you own AI sales development representative for LinkedIn that researches profiles, sends connection requests, and answers replies from your own account
StageNot given Startup
FoundedNot given 2026
Based inNot given NL
Pricing modelFreemium Freemium
PricingNot given Pro: $97/month for 1 sender; Agency: $297/month for 10 client workspaces; Agency Unlimited: $497/month for unlimited client workspaces. Extra senders: $47/month (Pro), $37/month (Agency), $27/month (Agency Unlimited). 14-day free trial on all plans.
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
  • Six lead sources: connection requests, profile viewers, post engagers, niche posts, people search, and existing connections
  • Profile research and ICP scoring before sending requests
  • Up to 20 connection requests per day with gradual warm-up
  • AI-written replies from playbook and profile context
  • Take over conversations at any time
  • MCP server and API on every plan for agent control
  • Dedicated residential IP per sender in user's country
  • Unified inbox for all conversations with lead management
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
  • Runs on your own LinkedIn account and session, not a separate profile
  • Researches and scores every profile before sending, not template-based campaigns
  • Driven by your own AI agent over MCP, not just manual control
  • Holds real conversations from playbook, not drip sequences
  • Founder's own account has run continuously since June 2026, proving safety design
Community votes00
DR (Domain Rating by Ahrefs)3 no change since last check20 +1 (up) since last check
Trust Flow (Majestic)97
Citation Flow (Majestic)2123
Referring domains (Majestic)2222

4 details filled in for both companies.

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