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Alexein vs Morgul Engine

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

Alexein compared with Morgul Engine
DetailAlexein logo AlexeinMorgul Engine logo Morgul Engine
What it doesMemory for AI agents and the people using them Self-hosted multi-agent simulation framework for building autonomous agent civilizations
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Not given
PricingFree: 10,000 events and 1,000 retrievals per month. Starter: $13/month for 50,000 events and 5,000 retrievals. Pro: $100/month for 500,000 events and 50,000 retrievals. Scale: $399/month for 2,500,000 events and 250,000 retrievals. Enterprise: Custom pricing. Developer License: $49 USD (one-time) includes Python/FastAPI engine source code, Vite/React observer dashboard, zero-cost mock mode, and single-user research grant. Commercial License: $149 USD (one-time) includes everything in Developer License plus perpetual royalty-free commercial distribution,
Key features
  • Search memory with dates and sources
  • Memory history and item versions
  • Data erasure with receipt
  • Correct and edit facts
  • Works with Claude, ChatGPT, Cursor and GitHub Copilot
  • Integrates with LangGraph, CrewAI and OpenAI Agents SDK
  • Connect to Slack, Notion, Linear, Jira and GitHub
  • Hosted MCP server
  • Item expiry
  • Decoupled tick loop with independent tick rate scheduling
  • SQLite WAL-mode persistence with concurrent reads and zero lock overhead
  • Multi-generational genealogy and asset transaction logs
  • Zero-token mock mode for local simulation without API costs
  • Python/FastAPI backend with Vite/React observer dashboard
  • Circadian cycles and natural mortality mechanics
  • Seamless LLM integration with OpenAI, Anthropic, or Ollama
  • Docker Compose deployment stack for Commercial License
  • Instant source code delivery with digital license key
What makes it different
  • Reduces token usage while improving context accuracy
  • Privacy and data control built in, not bolted on
  • Nothing is dropped when limits are reached
  • Turnkey engineering for complex simulations without building the loop from scratch
  • Zero recurring platform subscriptions with direct software licensing
  • No lock overhead persistence with WAL-mode SQLite for concurrent reads
  • Local LLM execution without incurring API costs in mock mode
  • Royalty-free commercial distribution rights with Commercial License
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)10 +7 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)120
Referring domains (Majestic)30

4 details filled in for both companies.

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