Nimbalyst vs Letronna®

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

Nimbalyst compared with Letronna®
Detail	Nimbalyst	Letronna®
What it does	Agent wiki and visual workspace for Claude Code, Codex and other AI coding agents	An AI agent with its own cloud and wallet
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Freemium	Not given
Pricing	Free: Nimbalyst app and personal wiki. Wiki Teams: $20 per user per month or $200 per user per year (currently free during beta).	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	WYSIWYG markdown editor with AI-assisted editing Red/green inline diffs for AI changes approval Visual editors for mockups, diagrams, and drawings Parallel agent session management File and session linking Persistent searchable session history Pull request review in Developer Mode MCP server support	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	Agents write the wiki as they work, eliminating manual documentation Open source and local-first: your data stays on your machine Built by Evergage founders who scaled to $250M ARR One unified workspace instead of multiple disconnected tools	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 votes	0	0
DR (Domain Rating by Ahrefs)	50 no change since last check	18 no change since last check
Trust Flow (Majestic)	15	0
Citation Flow (Majestic)	40	0
Referring domains (Majestic)	709	0

4 details filled in for both companies.

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