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Jev Agent Context Compaction

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Jev is a tool that intelligently decides which parts of an agent's conversational history are still relevant, reducing context usage and speeding up processing without sacrificing quality.

I got agent context compaction under 1 second with Jev. Instead of asking another LLM to summarize history, Jev decides what context still matters and what can go. Result: → 40% less context usage → <1s compaction → no measurable quality loss in tests WTH😨 @typesafeai x.com/manomxx/status/2101033548039717113/p