Orbmem

Orbmem Memory & reasoning backend for AI. • Long-term user memory • Vector & semantic search • Secure API access Build smarter AI that remembers. 🔗 Get your API key: orbmem.online

@DavidOndrej1 Hey, saw your post about your AI agent. Quick question — how are you handling long-term memory right now?

In 2026, AI will print millionaires however, not every business model is created equal 1) Some print money with minimal effort 2) Others demand constant hustle 3) Most people pick wrong In this 41 min video, I break down every major AI business model so you can bet on the right one

@atikcoder0 Hey, saw your post about your AI agent. Quick question — how are you handling long-term memory right now?

@tehinshe Thanks, that means a lot. One thing I’ve learned so far is starting very simple with memory — even basic conversation summaries + user intent tracking go a long way before complex systems. Curious what approach you’re thinking of initially.

@orbmem Appreciate this, thank you🙏 Memory and user context is something I’m already realizing I’ll need to think deeply about as I build. I’d definitely love to learn from your experience.

Starting 2026 with clarity. I've decided to focus on AI Automation for e-commerce. Spent today on research and planning, understanding how AI can help online stores save time and money through customer support automation. Tomorrow, I start building my first chatbot.🌸🔥

@mikestrives This is interesting. Do you think contextual memory becomes a moat only when it’s user-owned rather than app-owned?

SaaS used to scale by adding more users. But the next wave? Contextual memory. Here’s why that changes everything 👇

@rogimatt This looks really clean. Curious — what was the hardest part about making memory actually useful and not noisy?

Today I finally the chat + memory system I’ve been building for my new SaaS. It's a painkiller really ! My second brain exists now

@kamilbanc This is cool — prompt tools get really powerful once users come back. Are you planning any long-term memory or history per user?

I built a tool to save hours on AI prompts So I guess I'm building in public now. Kind of scary tbh...

@JuniorLeternel Nice progress 👏 Curious — how are you handling long-term context for users? Especially when they generate multiple articles over days/weeks.

Day 4 of building in public: MindToPost I'm building a micro-SaaS for generating SEO articles with AI. The concept: You choose your use case (blog, e-commerce, LinkedIn, etc.), your objective, and boom => optimized article in 30 seconds. Today we finalized: Intelligent polling of job status Stack: Next.js 15 + Supabase + OpenAI + Tailwind CSS PS: Some French/English translations are still rough; I'm a developer, not a translator 😅 It'll be polished for v1! #saas #nextjs #ai #indiehacker

@itsVoight Building a lightweight memory backend for chatbots — long-term context, isolation per user, and sane defaults. Curious what stack you’re using?

#N8N building out a chatbot has been fun... what are you working on?

@amishthaker_ If you’re dealing with context/memory issues later, I’m building a small memory backend for AI apps. Happy to share early access if useful.

We shared our WhatsApp Ai Chatbot for reminders in a few groups for beta testing. Amazed to see the adoption within 24 hours. Here's the link to check it out: wa.link/7grvy4