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  • How is the benchmarks of this tool? Did you programm the tool within help of AI?
  • who out there is running evals of giving agents these kinds of tools and how are you doing it?
  • Does this have the same number of nodes limit as graphify?
  • I'm sure it works great for its creator - but, without benchmarks of quality vs. an agent that can grep, it's hard to know if this project adds value.
  • The memory invalidation based on tying memories to pieces of code (e.g. functions) is the big thing here, I think, though I see why it wouldn't be front and center.

    I've always found memory systems icky, because it's difficult to tell whether a memory is still valid. Also, discoverability is always a concern (when is a memory relevant). This being both a code-graph and a memory system (seemingly unrelated things), actually addresses this in a novel way.

  • Has anyone actually gotten good results out of this?

    For the evals I've run (albeit, not super scientific), these memory systems did worse than the raw harness given ripgrep.

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