Agentic memory, with semantic search and access control, is redefining AI architecture, making generative models more efficient and cost-effective.

Most AI agent memory tools so far help one agent remember more in one session. Tencent's Team Memory is built for a whole team to share the same context — and inherit the same mistakes.

groundcover believes that opportunity lies in combining customer-controlled infrastructure, automatic telemetry collection and AI-assisted operations into a platform

Credible's platform runs on Malloy, an open-source semantic language built at Google — designed so enterprises can take their AI context with them, no matter what they buy next.

Vendors are racing to fix AI's confidently-wrong-answer problem at the context layer. The actual failure sits one level below, in the data pipeline itself.

As context windows and multi-turn interactions grow, so does the GPU compute wasted recalculating work a model has already done. Augmented Memory Grid, a NeuralMesh 6 feature built specifically for this, is Weka's answer.

One shopper's chat with an AI agent looked fine on its own. But that category of conversations needed 3x more clarifying questions than baseline — a signal no single trace can show.

Toby Roberts explains what Zillow got right before it ever touched an AI rollout — and why most enterprises skip that step.