prey (predator arc)

I want to share the main way we'll be tracking the CoreTex memory progress over time: periodic benchmark evals that measure CoreTex against other popular memory adapter options. Keep in mind, this measures CoreTex in its current initial, and intentionally barebones state, so it is expected to perform poorly. The idea is to track the improvements on these benchmarks overtime to see real outcomes from the work of miners. What stands out: Even in its minimal state, CoreTex is already competitive in conversational and personal memory, beating out other memory adapters on MEME, and Memora. CoreTex is already great at finding the relevant information (98% recall) but often includes too much unneeded information. (ie: context selection has a lot of room to improve). It will be fascinating to watch CoreTex improve in real time against these external benchmarks, all from miner incentivized work. Compare card (head to visualizer and click compare coretex): agentmoney.net/coretex/ Installation guide (for Hermes @NousResearch or other harnesses): github.com/botcoinmoney/core… Full report: github.com/botcoinmoney/core… There is no perfect agentic memory benchmark and each one evaluates different things that don't perfectly translate to real world scenarios, but by using a combination of benchmarks in this category, we hopefully cover as much ground as possible. Benchmarks: MEME (multi-entity & evolving memory eval -- @coallaoh): seokwonjung-jay.github.io/me… Memora (@genies): github.com/geniesinc/Memora PrecisionMem: github.com/tenurehq/precisio… MINTEval (@hyunji_amy_lee): github.com/amy-hyunji/MINTEv… Other Memory adapters: Mem0, OpenViking, Honcho, Hindsight