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Busabase vs briq

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

Busabase compared with briq
DetailBusabase logo Busabasebriq logo briq
What it doesThe open-source database and workspace for AI agents Cloud sandboxes and services for builders and agents
StageNot given Not given
FoundedNot given Not given
Based inNot given FR
Pricing modelNot given Freemium
PricingFree: $0 (1 space, 3 seats, 5,000 records, 1 GB storage). Plus: $10/seat/month ($120/year, 2 months free) for 3 spaces, 10 seats, 20 GB storage. Pro: $20/seat/month ($240/year, 2 months free) for unlimited spaces, unlimited seats, 100 GB storage. 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
  • Open source MIT license - run locally, self-host on server, or use cloud
  • Support for multiple agents via REST API, MCP, Agent Skills, and OpenAPI
  • Human review and approval workflow for agent changes
  • Structured data tables with fixed columns for agents and people to share
  • Docs and knowledge base with verified sources
  • Reusable agent skills and playbooks
  • Apps and views built on shared data structures
  • Role-based permissions and access controls
  • Offline support on desktop with no usage tracking
  • 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
  • Only AI agent workspace that keeps complete history and requires human approval before changes enter canonical data
  • Unified workspace where agents and people access the same data, avoiding scattered chat logs
  • Completely self-hosted and private on your own hardware with full control over data
  • Works with any agent that calls REST API - no lock-in to specific model or platform
  • Rejects never enter canonical data - all decisions remain attached for auditability
  • 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 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)17 −1 (down) since last check18 −1 (down) since last check
Trust Flow (Majestic)60
Citation Flow (Majestic)3220
Referring domains (Majestic)14324

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