Source-cited memory infrastructure for AI agents, preventing fabrication and data loss.
Product memo
Aurra provides AI developers with memory infrastructure that ensures agents recall information reliably and without fabrication. It preserves source citations and offers an audit trail for each memory, a critical feature for production-grade AI applications. This focus on verifiable recall helps developers build trust in their agents, especially where data integrity is paramount.
For who
AI developers building production agents
Solves what
Provides reliable, source-cited memory for AI agents, preventing fabrication and data loss.
- Source-cited memory
- Audit trail for every memory
- Python & JavaScript SDKs
In their own words
Memory for AI agents that _tells the truth._
Every memory traces back to its source. Every extraction has an audit trail. Drop into your stack in five lines — Python or TypeScript.
Memory infrastructure with receipts.
Commercial cues
Model
subscription
Free tier
Yes
Trial
Available
Operator context
Founded
May 2026
Platform
API
Audience
Developers
Social / footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Solo Buildable
About Aurra Expand
Aurra offers AI developers a specialized memory layer for their production agents. This infrastructure ensures that AI agents recall information accurately and with full source citations, directly addressing the critical problem of data fabrication and loss.
The platform includes a Python SDK and JavaScript SDK for easy integration, alongside an audit trail for every memory. By focusing on verifiable recall and transparency, Aurra positions itself as a crucial component for building trustworthy and specific AI applications, particularly for teams where data integrity and accountability are non-negotiable.