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owenaround
owenaround
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Saturday 06 June 2026 05:46:41 GMT
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2026-06-06 06:05:49
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انقذت شرفك 🔥#وادي_الذئاب #مراد_علمدار #kurtlarvadisi #ميماتي_باش #fyp
انقذت شرفك 🔥#وادي_الذئاب #مراد_علمدار #kurtlarvadisi #ميماتي_باش #fyp
Hermes Agent: the open-source AI that learns from experience and remembers. Most AI agents forget everything the moment you close them. Hermes Agent, the open-source project from Nous Research, is built around one idea: a learning loop. 🔁 Watch it work. Ask it to total your invoices. The first time, it figures it out step by step. Then it does the thing most agents skip: • it reflects on what worked, • writes that procedure down as a reusable skill (basically a note to self), • and files the whole session away, fully searchable. Next time, it pulls up that skill and the old context and gets a running head start. Do, reflect, save, reuse. The key part: the model never changed. Same weights. It did not get smarter, it grew a library of skills and memories around a fixed brain, like a personal wiki. Same move as RAG: keep the model frozen, feed it the right knowledge at the right moment. Here, that knowledge is its own past. Honest notes: the idea is not new (researchers call it episodic and self-evolving memory), Hermes just packaged it into something usable and open-source. And an agent that writes code and remembers everything is a real security surface, so sandbox it and watch its permissions. Soon the edge is not a bigger model, it is an agent that remembers you. KuraiKuto: one AI shift worth knowing, every drop. + Follow 🦊 #AI #LLM #aiagents #Hermes #NousResearch #opensource #aiexplained #techtok #learnontiktok #RAG #agenticai #machinelearning
Hermes Agent: the open-source AI that learns from experience and remembers. Most AI agents forget everything the moment you close them. Hermes Agent, the open-source project from Nous Research, is built around one idea: a learning loop. 🔁 Watch it work. Ask it to total your invoices. The first time, it figures it out step by step. Then it does the thing most agents skip: • it reflects on what worked, • writes that procedure down as a reusable skill (basically a note to self), • and files the whole session away, fully searchable. Next time, it pulls up that skill and the old context and gets a running head start. Do, reflect, save, reuse. The key part: the model never changed. Same weights. It did not get smarter, it grew a library of skills and memories around a fixed brain, like a personal wiki. Same move as RAG: keep the model frozen, feed it the right knowledge at the right moment. Here, that knowledge is its own past. Honest notes: the idea is not new (researchers call it episodic and self-evolving memory), Hermes just packaged it into something usable and open-source. And an agent that writes code and remembers everything is a real security surface, so sandbox it and watch its permissions. Soon the edge is not a bigger model, it is an agent that remembers you. KuraiKuto: one AI shift worth knowing, every drop. + Follow 🦊 #AI #LLM #aiagents #Hermes #NousResearch #opensource #aiexplained #techtok #learnontiktok #RAG #agenticai #machinelearning


I wanted to see everyone’s reaction when I handed it to them 😅 #fyp
I wanted to see everyone’s reaction when I handed it to them 😅 #fyp
#v2exz #foryou #anu
#v2exz #foryou #anu

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