Aurra

Aurra offers a robust memory layer for operational agents, built to ensure data integrity and traceability. Key features include: • Persistent memory with source citations • Bi-temporal versioning to track data validity • Auditable extraction trails for debugging • Multi-tenant architecture for B2B applications • Python and JavaScript SDKs for easy integration This platform addresses critical shortcomings in conventional memory solutions by preventing data fabrication and ensuring records are always tied to their original source. Unlike systems that silently cap memory or misattribute timestamps, Aurra provides explicit error handling and preserves historical timelines, making debugging and verification straightforward. Aurra supports bring-your-own language models, allowing developers to manage their API costs directly, or use Aurra's powerful language model add-on for memory extraction. Its enterprise-grade features include self-hostable options for VPC deployment, ensuring data sovereignty. The bi-temporal versioning system is particularly valuable for applications where facts evolve, providing a clear record of when information was true and when it changed. Ideal for developers building production-ready agents that require reliable, verifiable, and scalable memory capabilities. It's especially suited for businesses needing to implement agent-based systems with strict data governance, audit, and multi-user isolation requirements.