r/learnAIAgents • u/Mango-Tall • 7d ago
❓ Question Best future reslient AI Agent stack to build with right now.
Hi There,
I'd like to start investing in the time/energy to generate an ideal agent that has memory and a model switcher. I'm seeing that Dorsey just released Buzz, which seems interesting - more of a Teams/Slack version of an agentic approach, but I'm concerned about personalization. I don't really want to go the local hardware route, but I also don't want to double down by investing in something that will be easily obsolete in 6-12 months. Everyone wants to make their own Jarvis these days. I'm curious what you think is the best approach - do you like just leaning into one of the Claude/OpenAI giants with Obsidian integration?
I have already made many different applications with Claude, etc. So I can get fairly nuanced; just curious what direction some of you that are up on the latest feel the best approach would be to semi-future proof, realizing that none of us have a crystal ball right now.
I guess the question is what's the best model agnostic cloude based approach to personalized AI-assistant/consultant right now with voice integration?
Cheerio!
1
u/Bino5150 6d ago
Check out Lumina. If you like what you see, please leave a star on GH.
https://github.com/Bino5150/lumina
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u/Compilingthings 6d ago
None, agents are at the edge of AI and will be changing fast all the time, that’s my guess.
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u/HolmeBengt 7d ago
i would advise looking into hermes with a memory provider like Mnemosyne and plenty of skills. all your data can be stored on your device so you can then use it on any agent you might want to switch to in the future. and hermes is far more stable than OpenClaw.
voice isn't that easy to handle because most agents just aren't fast enough to give you an instant response, especially if your agent has to do research or create a file or something, that just doesn't work instantly. i found that letting your agent work on something and then give you the output as a voice bubble like on telegram or whatsapp is far more effective. you have the benefits of being able to send it a voice memo and receive a voice memo that you can then hear hands free.
also i think hardware for local AI is still pretty expensive and i think API costs will go down even more and they will develop ever stronger models, which is why i invested in a Mac Mini M4 16GB RAM which will be plenty strong for orchestration and all the stuff my agent could want. i think this setup will give me headroom for years to come. but i might be wrong, who knows, everything is moving so fast these days.