A 0.12% parameter add-on gives AI agents the working memory RAG can’t

AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token costs, and brittle workflows. The fix most teams reach for — expanding the context window or adding more RAG — is increasingly expensive […]

Resolve AI says the AI coding boom is breaking production systems. It wants to fix that.

Resolve AI, the production-operations startup backed by Greylock and Lightspeed Venture Partners, today announced a sweeping expansion of its platform that introduces always-on background agents, a redesigned investigation architecture, and a shared workspace where engineers and AI agents collaborate in real time on live incidents. The centerpiece of the release is a new multi-agent investigation […]

AI didn’t kill brand consistency — it made it mission-critical

Presented by Design.com Generative AI has made design radically more accessible. A founder can now create a logo, launch a website, build social campaigns, generate presentations, and produce marketing collateral in a single afternoon — work that once required agencies, freelancers, or internal creative teams. But as design generation becomes easier, maintaining a recognizable identity […]

Enterprise AI agents keep failing because they forget what they learned

RAG architectures are good at one thing: surfacing semantically relevant documents. That’s also where they stop. A framework called a decision context graph addresses that gap by giving agents structured memory, time-aware reasoning, and explicit decision logic. Rippletide, a startup in the Neo4j ecosystem, has built one. The key capability: agents that are non-regressive, able […]