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Living Brain vs RELAI

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

Living Brain compared with RELAI
DetailLiving Brain logo Living BrainRELAI logo RELAI
What it doesA persistent and self-learning interoperable memory layer for AI agents and tools. The continual learning engine for AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingLiving Brain API: $8 per 1M input tokens and $0.50 per 1M output tokens, pay as you go with $5 minimum top-up and no monthly minimum. Living Brain Workspace: $99 per month (most popular), includes three team seats, $80 shared monthly credits for first three cycles then $50, managed Brains and agents RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
  • Semantic search and connection discovery
  • Memory scoring and optimization
  • REST API, SDK, CLI and MCP support
  • Document extraction and storage
  • Audio transcription
  • Webhook subscriptions and integrations
  • Slack and Telegram capture
  • Scheduled briefs and page history
  • Markdown export and structured output
  • Multi-brain and team collaboration
  • 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
  • 22.6X fewer tokens per question and 95% lower cost per task vs full context baseline
  • 0% hallucinations on LongMemEval-S evaluation
  • Works across 60+ AI platforms via unified API
  • 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)12 +1 (up) since last check23 no change since last check
Trust Flow (Majestic)713
Citation Flow (Majestic)1825
Referring domains (Majestic)379

5 details filled in for both companies.

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