Mnemoverse vs GitMir

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 GitMir
Detail	Mnemoverse	GitMir
What it does	One memory, every AI tool. Write once, recall anywhere.	AI model of your product's business logic accessible to people and AI agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	GB
Pricing model	Freemium	Freemium
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.	Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
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	Builds features, rules and customer paths and keeps them current with every push Shows what each commit changed in the business logic, not only in the code Provides change impact analysis before merge showing what could break Checks PRDs and specifications against the product Delivers understanding to AI agents over MCP Runs locally on your machine with GMM Local Finds risky patterns and problems in the product Enterprise deployment inside your security boundary Integrates with Claude Code, Cursor, Codex and VS Code MCP access for agents with 1-10 credits per answer
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	Nearly 3× fewer errors on Benchmark 001 compared to alternatives 8.4K tokens per question instead of 27.4K for competitors Results published and measurable; method is proprietary Reduces AI cost per completed agent action from $0.35 to $0.08
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	27 no change since last check
Trust Flow (Majestic)	7	3
Citation Flow (Majestic)	37	28
Referring domains (Majestic)	200	50

5 details filled in for both companies.

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