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NitroStack vs Cogni

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

NitroStack compared with Cogni
DetailNitroStack logo NitroStack Cogni
What it doesFull-stack Model Context Protocol platform for building, testing, and deploying MCP servers and agentic AI applications Memory that reasons
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelFreemium Freemium
PricingHobby: free forever with 30k requests/mo; Pro: $30/org/mo with 300k requests/mo included and $0.10 per 1k extra requests beyond 300k; Enterprise: custom pricing starting at $250/mo with dedicated infrastructure and custom SLAs. Free plan at $0 USD; Pro plan at $5 USD per month.
Key features
  • Open-source TypeScript SDK with declarative decorators and Zod validation
  • NitroStudio desktop IDE for visual tool testing and AI reasoning visualization
  • NitroCloud serverless hosting with auto-scaling and custom domains
  • GitHub integration for one-click deployment
  • Enterprise authentication modules
  • White-label NitroChat AI interface
  • 99.99% uptime SLA on NitroCloud
  • API to MCP conversion tools
  • Entity-graph spreading activation for cross-vocabulary retrieval
  • Works with any LLM model
  • No LLM or GPU in retrieval path
  • Point-in-time and windowed recall
  • Timestamped memories
  • Fixed recall cost as memory grows
What makes it different
  • Designed for teams building custom MCP tools from their own APIs, not a catalog of prebuilt connectors
  • Complete full-stack platform combining SDK, IDE, and cloud hosting in one suite
  • Open-source core with npm-installable packages for SDK, CLI, and UI widgets
  • 80,000 deployments and 13 million requests already in production
  • Enterprise-grade security with AES-256 encryption and JWT authentication
  • Reaches answers across unrelated documents that share no keywords, where vector search scores zero
  • Deterministic retrieval with no model in the path, so results never vary between queries
  • Constant per-query cost regardless of memory size, even at 32,000 words
  • No infrastructure to run—no vector database, cluster, or GPU needed
  • Works with any model, so small local models gain the most from better retrieval
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)15 −1 (down) since last check4 no change since last check
Trust Flow (Majestic)72
Citation Flow (Majestic)2821
Referring domains (Majestic)12534

6 details filled in for both companies.

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