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Recalld vs Recurse

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 Recurse
DetailRecalldRecurse
What it doesThe memory layer for AI Agents Build and deploy Agent MCP Apps
StageGrowing Growing
FoundedNot given Not given
Based inNot given Not given
Pricing modelfreemium usage-based
PricingNot given Not given
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
  • Run agents with Python tools
  • Deploy agents as MCP servers
  • Validate structured inputs and outputs
  • Inspect run results and artifacts
  • Secrets management
  • 24-hour result retention
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
  • No subscription or idle charges for usage-based pricing
  • Zero markup on model tokens
  • Hosting included with deployment
  • Available through MCP clients like Claude and Codex
  • Full visibility into agent execution and results
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 check35 no change since last check
Trust Flow (Majestic)011
Citation Flow (Majestic)1520
Referring domains (Majestic)1039

5 details filled in for both companies.

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