
haha awesome, i got it to clone, branch, and commit a PR
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especially around the smaller workers piece at the end. activegraph agents don’t have agents that talk to each other, nor workflows, but tons of mini agents coordinating through a shared graph
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I have not, and I assume you made it seamless for your users 🙂 Activegraph is an experiment in a new agent primitive (log centric vs LLM centric). very early as a concept, but aligned with a lot of the ideas in your original post so thought you might find it interesting

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if you build any agent on activegraph, the trace is automatic and first-class, not bolted on

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a parallel experiment building a coding agent on top of @activegraphai
. you can see everything flattened down to a single event log trace

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slowly we're all realizing that tools should be called from code, not from within the llm api
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longmemeval experiment arch: 1) deterministic ingestion/extraction (85.6% accuracy, 86.2% retrieval)
2) semantic ingestion/extraction (84.8% accuracy, 94.9% retention)
3) semantic ingestion/deterministic extraction (87.6% accuracy, 90.0% retrieval) this was staggered, not

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was running some evals this weekend and claude kept trying to get me to go to bed

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experimenting with a new event sourced agent runtime that i made 🙂