Agentik vs Mnemoverse

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

Agentik compared with Mnemoverse
Detail	Agentik	Mnemoverse
What it does	Connect your agent to 2,400+ tools through one MCP connection at provider prices	One memory, every AI tool. Write once, recall anywhere.
Stage	Not given	Not given
Founded	Not given	Not given
Based in	FR	Not given
Pricing model	Not given	Freemium
Pricing	Free tier with access to free tools and optional $5 promotional credit. Pay-as-you-go with no platform fee on first top-up of $10 or less; 5.5% platform fee (minimum $0.80) on larger first top-ups and subsequent top-ups. Tool calls charged at provider's price with 0% markup. Example prices: Google s	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.
Key features	Access to 2,436 tools from 52 providers Support for Claude, ChatGPT, Codex and Cursor Price preview before tool execution Per-call billing at provider prices with 0% markup Spending caps per hour, day, lifetime and per tool 113 playbooks for common tasks Tools across social media, ads, search and company data Single prepaid balance across all providers	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
What makes it different	One prepaid balance eliminates need for separate accounts with 25+ providers 0% markup on all tool calls - pay provider prices directly Price transparency with cost shown before execution Granular spending controls per key, hour, day and tool Pre-built playbooks reduce setup time for common workflows	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
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)	37 −1 (down) since last check	40 −1 (down) since last check
Trust Flow (Majestic)	27	7
Citation Flow (Majestic)	33	37
Referring domains (Majestic)	55	200

4 details filled in for both companies.

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