Show HN: Tiny project memory for coding agents
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Ronwen Williams' brother Marvin, who died in a car crash in 2010, is a source of inspiration as the goalkeeper captains South Africa against Mexico in the opening match of the 2026 World Cup.
New research suggests that AI memory systems can degrade model performance and encourage sycophantic tendencies.
At Prisma we've been working on a Compute offering to complement our hosted Postgres. We settled on Bun early in the process as we liked the experience we'd be able to provide thanks to Buns batteries-included approach. But then we started using Bun in anger, and we found many memory leaks in t...
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Something I’m finding while testing SWE-context-bench for the agent memory layer I’m building: evaluating memory is harder than checking whether the agent solved the next task with fewer tokens. The setup: An agent solves a coding task. Later, it gets a related task that should benefit from the...
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Earlier parts examined the performance characteristics of sequential and random access under single-threaded execution, and noted in passing the destructive effect of random access on the TLB. This part devotes full attention to the TLB: what it is, why a TLB miss is more severe than a cache mis...
As someone who runs multiple AI agents for day-to-day tasks, I kept hitting the same wall: every new conversation was a total memory wipe. I'd ask my agent about a project we discussed yesterday, and it had no idea what I was talking about. Frustrating.
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Nature, Published online: 10 June 2026; doi:10. 1038/s41586-026-10646-w A co-optimized AI hardware–software system using resistive-memory computing improves energy efficiency and parallelism for sparse signal reconstruction in imaging and three-dimensional vision applications.
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Meet with an AI agent you configure.
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The rapper/podcast host reflects on message boards, digital archiving and why the internet once invited listeners to dig deeper.
Chip-equipment companies are getting unprecedented visibility into companies’ supply plans, a UBS analyst says.
A GPU holding memory isn't the same as a GPU doing work (an H100 can sit at 0% utilization with 20 GiB allocated), and most idle time comes from everything around the card, not the card itself. So feed it from the input pipeline, hand it big tensor-friendly shapes, fuse small kernels with torch....
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