Zouroboros Benchv1.0.0

AI agents using persistent memory (e.g., customer support bots) must be tested for recall accuracy over long conversations. Zouroboros Bench runs LongMemEval, LoCoMo, and ConvoMem to detect memory drift before deployment.

Financial or healthcare AI must retain conversation context without error. Benchmarks track memory consistency across sessions, flagging deviations that could lead to compliance failures.

Organizations evaluating different memory backends (e.g., SQLite vs. hosted vector stores) can use Zouroboros Bench with any CLI-compatible memory system to compare accuracy and latency.

As AI agents evolve, their memory subsystems may degrade. The Mimir judge continuously evaluates runs against baseline performance, alerting teams to regressions.

Companies using offline LLMs (via Ollama) can benchmark memory without exposing data to external APIs, ensuring privacy while maintaining performance metrics.

Free tool adoption drives ecosystem growth; commercial licenses or priority support for enterprise customers generate revenue.

Offer managed benchmarking runs with dashboards and historical trend analysis on a subscription basis.

Tailor Zouroboros Bench for specific client memory backends or proprietary datasets, delivered as professional services.