Recalld vs Distyl

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 Distyl
Detail	Recalld	Distyl
What it does	The memory layer for AI Agents	Architecting the AI-Native Enterprise
Stage	Growing	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Freemium	Contact for pricing
Pricing	Not 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	Distillery: Operating system for enterprise AI Weave: Autonomous AI system construction Context Mesh: Enterprise knowledge structured for AI Context Views: Enterprise semantic layer for agents Journey: AI voice layer for digital experiences Personalization: 1:1 customer engagement at enterprise scale Capture: Tacit knowledge capture at scale Canary: Self-improvement for AI systems Forward-deployed engineers and researchers EBITDA impact in 6 months
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	Delivers production AI systems in weeks or months 150M+ end users reached by AI systems
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	7 −1 (down) since last check	57 no change since last check
Trust Flow (Majestic)	0	16
Citation Flow (Majestic)	15	36
Referring domains (Majestic)	10	371

4 details filled in for both companies.

More alternatives to Recalld More alternatives to Distyl