Mnemoverse vs briq

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 briq
Detail	Mnemoverse	briq
What it does	One memory, every AI tool. Write once, recall anywhere.	Cloud sandboxes and services for builders and agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	FR
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.	Hobby (Free): 5 sandboxes & services at once, 16 GB of memory, pico/micro/nano/small/medium sizes, 10 GB disk. Pro (€20/month): €20 usage included monthly, 50 sandboxes & services, 80 GB memory, 5 members, all sizes, 250 GB disk, always-on briqs. Team (€100/month): €100 usage included monthly, 200 s
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	Linux sandbox with shell, persistent files and development tools Multiple services: Postgres, Redis, DuckDB, custom OCI images MCP integration with Claude, Cursor, VS Code Environment forking with data preservation Idle workload sleep mode with compute billing pause Private networks with public endpoint selection Spend caps, size limits and concurrency controls per credential Audit log for reviewing all actions
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	Built specifically for AI agents with native MCP protocol support Open-source runtime in public development with Rust and Firecracker Integrated services ecosystem with private networking
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	18 −1 (down) since last check
Trust Flow (Majestic)	7	0
Citation Flow (Majestic)	37	20
Referring domains (Majestic)	200	24

5 details filled in for both companies.

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