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Notes from the Vektor team

Engineering posts on agent evaluation, tracing, memory, and the messy reality of shipping AI to production users.

TechnicalJan 28, 2025 · 8 min read

Designing Reliable Multi-Agent Workflows

Failure modes compound across orchestrated agents. The evaluation patterns we use to keep multi-agent systems honest — handoff schemas, loop detection, and memory coherence.

A
Aryan Mehta
CEO, Vektor
ProductJan 22, 2025 · 4 min read

Why We Rebuilt Memory From Scratch

Memory v1 was a thin wrapper over a vector store. Memory v2 is a real system — three first-class stores, selective compression, and optimistic locking across agents.

L
Lena Kovacs
CTO, Vektor
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