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Busabase vs Mlola

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 Mlola
DetailBusabase logo BusabaseMlola logo Mlola
What it doesThe open-source database and workspace for AI agents Reliable browser use with a fast path: deterministic mechanics, safety and verification, and a model asked only for judgement.
StageNot given Not given
FoundedNot given Not given
Based inNot given ID
Pricing modelNot given Not given
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. Not given
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
  • Observe page state in atomic passes without screenshots
  • Model picks operations only from compatible targets
  • Risk classification for payments, deletions, sends and secrets
  • Typed actions with freshness, visibility and occlusion checks
  • Append-only event log for replay and audit
  • Chrome automation through Playwright
  • Browser extension for agent isolation
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
  • Deterministic browser mechanics as default, models only for judgement and writing
  • Safety enforced through code boundaries, not prompt requests
  • Every step verified independently before proceeding
  • Cost measured by fast-path share on every run
  • Capabilities advertised honestly, imitation refused
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 check10 no change since last check
Trust Flow (Majestic)60
Citation Flow (Majestic)3227
Referring domains (Majestic)14328

3 details filled in for both companies.

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