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For the staleness specifically we are using hooks on claude code and codex, where on every turn, or post edit or pre-tool use, we sync the graph. so that graph never goes stale.

We have run tests on DeepSWE as well which are long running tasks, we got 20% better accuracy on the tasks where sonnet 5 failed. didn't want to post that numbers yet as I think we can do better on DeepSWE and on a cheaper model like gpt-5.6-luna or grok-4.6

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The graph is pre-filling the context that does the sync, right? Doesn't that create a bias towards what's already present? If anything hallucinated does make it in at some point, won't the sync just reinforce that hallucination if some new component touches the bad info, just like a long session rabbit-holing? New sessions, in contrast, have no contextual assumptions and often catch those problems.

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