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Recalld vs Engini

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

Recalld compared with Engini
Detail RecalldEngini logo Engini
What it doesThe memory layer for AI Agents Ship agents into systems you can't afford to break
StageGrowing Not given
FoundedNot given Not given
Based inNot given IL
Pricing modelFreemium Freemium
PricingNot given Free plan includes 125,000 tasks and 75,000 triggers monthly with 5 seats and 1 on-prem agent. Starter: $29/month or $24/month billed annually. Business: $289/month or $240/month billed annually. Enterprise: custom pricing.
Key features
  • Long-term memory for AI agents
  • Automatic fact extraction and reconciliation
  • Curated recall retrieval
  • Raw vector search capability
  • Model Context Protocol integration
  • Regional data residency
  • End-to-end encryption
  • Right to erasure
  • Bring-your-own-key model support
  • Recalld Chat assistant
  • MCP server for AI agents and assistants
  • Python and TypeScript SDKs
  • REST API and CLI for scripts and coding agents
  • No-code workflow canvas
  • Managed authentication to connected systems
  • Audit trail of agent actions
  • Tool permissions scoped per agent
  • On-premises agent for systems behind firewall
  • Native integrations with Zendesk, Intercom, Freshdesk, ServiceNow, SAP, NetSuite, Salesforce
  • Root cause analysis and backend execution of fixes
What makes it different
  • Curated recall uses 6.7× fewer tokens than raw search while maintaining accuracy
  • Automatic fact updating and reconciliation without manual deduplication pipelines
  • Verified on open benchmark maintained by independent company
  • Native MCP server requiring no SDK or glue code
  • GDPR-compliant by design with transparent data handling
  • Secure enterprise-grade controls including granular tool permissions, audit trails, and versioning without sacrificing automation speed
  • Autonomous AI agents that execute fixes end-to-end rather than just deflecting to chatbots or escalations
  • Multiple interface options including MCP, SDKs, API, CLI, and no-code canvas for different developer and non-developer needs
  • On-premises deployment capability for regulated or sensitive systems behind firewalls
  • Seamless integration with entire enterprise tech stack including ERP, CRM, helpdesk, and observability platforms
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)7 −1 (down) since last check33 no change since last check
Trust Flow (Majestic)05
Citation Flow (Majestic)1531
Referring domains (Majestic)1075

4 details filled in for both companies.

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