Agent accuracy in production

Most agents have a memory now. Far fewer are accurate - able to answer correctly, stay right as things change, and show where each fact came from. The whole field is circling this: Anthropic pulled vector search from Claude Code, "forgetting" became a design goal, and OWASP added memory poisoning to its 2026 agentic top ten. Agent accuracy is the gap between a memory layer that simply exists and one you'd trust in production.

In this webinar, Tobie Morgan Hitchcock (Co-Founder & CEO, SurrealDB) breaks agent accuracy into four properties you can actually build and measure - precise recall that fuses signals instead of betting on embeddings, correction that supersedes rather than overwrites, provenance on every fact, and the knowledge-graph structure that keeps retrieval exact. Anchored in one production scenario, end to end - with the benchmarks behind the claims.