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• turbopuffer – Here’s a crazy idea: what if AI agents could search its entire history, but without RAG or other clever workarounds? turbopuffer’s cheap storage, combined with fast performance makes this surprisingly practical, for any and all agent memory use cases.
• Linear – Agents are only as good as what they know about your product, and for teams like OpenAI and Coinbase, Linear is where that lives. You can use Cursor, Codex, Claude Code, Linear Agent, or the agents you built; then delegate work to them right inside Linear, and everyone can see what they did.
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