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Source channel @githubtrending · Post #15558 · Mar 12

#python#agentic_ai#agents#memory Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production. https://github.com/vectorize-io/hindsight

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Host Testing and evaluation

@HostEvaluate · Post #853 · 01/18/2023, 12:02 PM

#misaka#DE#BER Host Provider: Misaka Network Location: Berlin, Germany Specification: 1vCore(Xeon Skylake) | 512MB RAM | 10GB NVMe | 512GB Traffic | $10.5 / Mo Test IP: 45.131.71.128 MTR: https://ping.sx/mtr?p=misaka-ber02-s2c 感谢商家提供的测试机。这款是 Misaka 新上的柏林机器,带 CN2 优化。应该会有活动的。这个 CN2 是从他们俄罗斯牵过去的,延迟比咸鱼云的法兰克福要低些。国际目前只有 retn, 后面会加 lumen, 具体啥时候加上就不得而知了。去往西欧延迟更低的一个选择。机器性能可以,本地带宽应该是 10Gbps? BerlinCN2Launch 年付 30off, 限 CN2 产品 https://paste.red/p/c20e1103c9f5