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LaCrew vs Exabase

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

LaCrew compared with Exabase
DetailLaCrew logo LaCrewExabase logo Exabase
What it doesSpend controls, budgets and approvals for AI agents Context infrastructure for AI agents
StageMVP Startup
FoundedNot given Not given
Based inNot given GB
Pricing modelFreemium Freemium
PricingFree plan: $0 during early access with 2 seats and 3 agents. Planned paid plans: Builder at $49/month with 5 seats and 25 agents; Scale at $199/month with 25 seats and 250 agents. Self-hosting is free. Not given
Key features
  • Onchain allowances and epoch budgets
  • Escalation through reporting tree
  • Session keys with automatic expiration
  • Constitutional governance with veto windows
  • Declared flows and human gates
  • Slack and Telegram supervision
  • Visual org builder and workspace
  • Apache-2.0 open source contracts and SDK
  • Inference budgets for model and API calls
  • Integration with Coinbase AgentKit and Safe
  • Memory system with self-managing advanced memory
  • Isolated per-tenant instances with version rollback
  • Portable context server with files, notes and links
  • Sub-document multi-modal hybrid search
  • Structured data extraction from PDFs, websites and images
  • Autonomous agents for knowledge base automation
  • 99.9% uptime SLA
  • AES-256 encryption at rest and SSL in transit
  • TypeScript SDK and REST API
  • Model-agnostic and framework-agnostic
What makes it different
  • Bounded blast radius: compromised agents can only spend remaining epoch allowance on whitelisted targets
  • Passkey root stays on user's device; cloud holds only scoped, expiring session keys
  • Fully self-hostable open protocol with Apache-2.0 licensing
  • Approval workflows follow real organizational structure, not smart contract code
  • No token or cryptocurrency knowledge required to use the cloud platform
  • Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
  • State-of-the-art on two leading AI memory benchmarks
  • Full-stack data layer eliminating need for multiple services
  • Production-tested at scale powering Fabric platform
  • Self-improving memory that tracks relationships and resolves contradictions
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)Not checked yet no change since last check29 no change since last check
Trust Flow (Majestic)011
Citation Flow (Majestic)032
Referring domains (Majestic)0122

5 details filled in for both companies.

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