Developing Dosu github.com/devstein
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It's Dosu Drop Day! 🎒 For our back-to-school edition, Dosu does the studying. When a Claude Code, Codex, or Cursor session ends, Dosu reads it and writes down what your team would otherwise rediscover. 🧵 go.dosu.dev/drop-sep26-x
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Devin Stein retweeted
I've frequently seen search use cases that need a vocabulary modeled hierarchically in a taxonomy, and almost never one that needed an actual knowledge graph.
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The team keeps working after the agent’s session ends.
@devstein64 on how merged PRs and resolved conversations keep agent memory current.
Recording + transcript: dosu.dev/webinars/agent-memo…
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Devin Stein retweeted
🪦 Security by obscurity
1945–2026
Beloved by developers. Killed by agents.
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it is true
Is it just me or are existing agent memory datasets underwhelming?
They to some extend assume retrieval will just work, they tell you roughly where the right answer is, and then they sit back and see if you can piece together a response.
This doesn't resemble what the work feels like in my experience...
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Devin Stein retweeted
Is it just me or are existing agent memory datasets underwhelming?
They to some extend assume retrieval will just work, they tell you roughly where the right answer is, and then they sit back and see if you can piece together a response.
This doesn't resemble what the work feels like in my experience...
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A summary of a summary keeps getting further from the source.
Michael Mangus, Head of Product at Dosu, explains how repeated summaries lose details in agent memory.
Recording + transcript: dosu.dev/webinars/agent-memo…
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Devin Stein retweeted
yes!!! the analogy we use is like logic gates. look at how many incredible things were made from just a few dumb primitives. IMAGINE that with smart primitives!
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Wrong memory can be worse than no memory.
@devstein64 explains why stale agent memory can undo the value of remembering anything at all.
dosu.dev/webinars/agent-memo…
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Agent Memory: What Happens When It's Wrong? dosu.dev/webinars/agent-memo…
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jev may have unseated @cohere as the best reranker across speed, cost, and performance
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