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CogniCore vs RELAI

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

CogniCore compared with RELAI
DetailCogniCore logo CogniCoreRELAI logo RELAI
What it doesMemory that follows you between AI apps The continual learning engine for AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelOpen source Freemium
PricingNot given RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
  • Connect to Claude via custom connector in Settings
  • Add to ChatGPT with developer mode
  • Automatic session save for Claude Code and Codex
  • Save and resume sessions with brief summaries
  • GitHub sign-in for private separate memory
  • Delete individual memories or all data by email
  • Zero model calls to save a session
  • Session brief generated in ~450 tokens
  • Capture signals from code, requirements, and production traces
  • Build and maintain EvalsWiki as versioned behavioral knowledge
  • Find missing eval coverage and unclear expectations
  • Generate complete evals with scenarios, environments, and evaluators
  • Optimize harness across prompts, tools, workflows, and code
  • Multi-objective optimization for quality, cost, latency, and KPIs
  • Model selection, migration, and routing with evaluation
  • Regression-controlled improvement with evaluation evidence
  • Versioned storage in repository with pull requests
What makes it different
  • Shared memory across multiple AI apps and agents, not confined to one app
  • Setup in about one minute with no credit card or waitlist
  • Open source code so users can verify data handling
  • No data selling, ads or use for AI model training
  • Private per-account database with no cross-account access
  • Turns failures into replayable learning environments
  • Prevents regressions by keeping previous evals in the loop
  • Integrates with existing observability stacks and traces
  • Preserves business intelligence versioned in repository
  • Adapts harness to model changes without redefining use cases
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)Not checked yet no change since last check23 no change since last check
Trust Flow (Majestic)113
Citation Flow (Majestic)1025
Referring domains (Majestic)1279

4 details filled in for both companies.

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