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Mnemoverse vs AEGIS Initiative

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

Mnemoverse compared with AEGIS Initiative
DetailMnemoverse logo MnemoverseAEGIS Initiative logo AEGIS Initiative
What it doesOne memory, every AI tool. Write once, recall anywhere. Governance-first security framework for autonomous AI systems
StageNot given Startup
FoundedNot given 2026
Based inNot given Not given
Pricing modelFreemium Open source
PricingFree: $0 with 1,000 queries/day, 10,000 atoms, 60 req/min. Pro: $29/mo with 50,000 queries/day, 500,000 atoms, 600 req/min. Team: $149/mo with 500,000 queries/day, 5,000,000 atoms, 3,000 req/min. Enterprise: Custom limits and pricing. Not given
Key features
  • Persistent cross-tool memory API working with Claude, Cursor, VS Code, ChatGPT, Python, and any HTTP client
  • Hebbian associations that strengthen links between concepts recalled together
  • Outcome feedback that re-ranks recall based on usefulness
  • Automatic query expansion along learned associations
  • Python SDK with typed errors for write, read, feedback, and stats
  • REST API for any HTTP client
  • Per-tenant org isolation and SHA-256 hashed API keys
  • Constitutional governance charter with 11 articles defining AI autonomy boundaries
  • ATX-1 threat matrix taxonomy for agentic AI systems
  • Python runtime implementation of AGP-1 for policy evaluation
  • TypeScript and Python SDKs for governance integration
  • Federation protocol for cross-domain AI governance
  • Versioned, citable, openly licensed specifications
  • Standards engagement with NIST, IEEE, and NCCoE
What makes it different
  • Learns from outcomes and improves over time, unlike vector databases that only perform similarity search
  • Works across every AI tool with a single API key, not locked to one platform
  • Complementary to RAG: remembers outcomes and lessons, not just document similarity
  • Free tier with full API access and MCP server, no credit card required
  • Governance-first approach where policy is evaluated before action, not after
  • Deterministic enforcement with transparent audit trails and non-bypassable human oversight
  • Non-partisan engagement with policymakers regardless of jurisdiction or political orientation
  • Human-directed with transparent AI collaboration in research and development
  • Deny by default principle: anything not explicitly authorized is prohibited
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)40 −1 (down) since last check28 +14 (up) since last check
Trust Flow (Majestic)70
Citation Flow (Majestic)3722
Referring domains (Majestic)2006

4 details filled in for both companies.

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