The Enterprise Agent Build & Runtime for the work your business runs on
The memory layer for AI Agents
Stage
Not given
Growing
Founded
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Based in
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Pricing model
freemium
freemium
Pricing
Free plan with 50 workflow executions per month and visual editor. Enterprise plan with custom pricing includes governance, dedicated VPC, and comprehensive support.
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Key features
Visual editor and AI copilot
No-code visual editor, exportable to Python
Code-first API built for total control
Real-time tracing of every LLM call, tool call, and memory read
RBAC and audit with immutable audit trails and Enterprise IAM
Human-in-the-loop approval gates and intervention during execution
Runtime hooks inject PII redaction and policy checks
Automated and human-guided training for continuous improvement
Multi-LLM testing for model swapping at runtime
GitHub integration
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
What makes it different
Agentic use case generator powered by billions of agent runs
Intelligently guided by 700k agent workflow patterns
Control Plane sits in execution path ensuring every agent interaction is observable, compliant, and reversible
Every production run turns into training data to sharpen accuracy and save money
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