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Syndicate vs Letronna®

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

Syndicate compared with Letronna®
DetailSyndicate logo SyndicateLetronna® logo Letronna®
What it doesManage your own team of AI agents An AI agent with its own cloud and wallet
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelFree Not given
PricingNot given Free: $0 forever with your own API keys. Pro: $20 per month with $20 of hosted credit a month (or $240 at once on yearly, save up to 17%). Team: $18 per seat, monthly, 2 to 5 people, with $18 of shared credit per seat monthly. Compute costs about $6 per GB a month from credit, charged by the second.
Key features
  • Atlas manager agent that breaks down tasks and delegates to specialists
  • Ready-made team templates for marketing, research, operations, and more
  • Agent Marketplace with 20+ built-in specialists
  • Four control modes from Minimal to Manual for agent autonomy
  • Support for Claude, OpenAI, Gemini, and GitHub Copilot on one team
  • Live activity feed, task board, and team inbox with file previews
  • Agent memory and shared Decision Ledger across sessions
  • Agent Creator to build custom specialists in plain English
  • MCP server integration to connect agents to outside services
  • Real files, real commands, web access, and browser beside the chat
  • Memory written to disk as plain text you can edit and delete
  • Auto mode with safe judgment on your own model
  • Delegate work to helper agents sharing a task list
  • Chat apps: Telegram, Discord and Slack integration
  • Support for MCP servers, plugins and IDE integration
  • Cloud tasks that keep running after you close the app
  • Services that stay online with scheduler, webhook and watcher
  • Web apps with their own live link at letronna.si
What makes it different
  • One team can use multiple AI providers simultaneously
  • Atlas manager agent coordinates specialist agents with real-time task handoffs
  • Agents maintain memory across sessions with no re-explaining preferences
  • Runs locally with your own keys; nothing leaves your machine unless you connect a hosted model
  • Starts in 7.65 ms with 84% on Harness-Bench
  • Plain text memory files you can edit, not a black box
  • Works with any model: OpenAI-compatible, Anthropic, Ollama, llama.cpp or hosted
  • Pay only for hosted models and cloud compute, not per seat
Community votes00
DR (Domain Rating by Ahrefs)4 no change since last check18 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)240
Referring domains (Majestic)220

4 details filled in for both companies.

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