Mnemoverse vs fractal

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 fractal
Detail	Mnemoverse	fractal
What it does	One memory, every AI tool. Write once, recall anywhere.	Long-term memory for AI agents that organizes itself and corrects itself
Stage	Not given	MVP
Founded	Not given	Not given
Based in	Not given	SE
Pricing model	Freemium	Free
Pricing	Free: $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.	Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
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	Self-correcting memory that updates when facts change Historical memory queries with time-based retrieval Automatic topic organization and hierarchy Separate memory for each agent with controlled sharing Multi-agent support via MCP, REST API, or LangGraph AES-256 encryption at rest and in backups OAuth 2.1 authentication and API key management Data export and deletion capabilities 37 MCP tools with automated verification on every code change
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	Understands what changed, when it was true, and where it belongs - beyond vector database similarity Never contradicts itself by automatically replacing outdated facts Fully GDPR aligned with built-in privacy by design Two-minute integration with Claude, ChatGPT, Cursor and any MCP client Data stays in Europe on AWS eu-north-1 and never used for model training
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	40 −1 (down) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	7	0
Citation Flow (Majestic)	37	0
Referring domains (Majestic)	200	0

5 details filled in for both companies.

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