Orbmem

Orbmem provides secure memory, vector search, and reasoning infrastructure for AI applications, enabling reliable long-term intelligence with strict user isolat

[Orbmem @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: https://t.co/I7c8RiMS36

[Orbmem @orbmem]

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

[Orbmem @orbmem]

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

[Orbmem @orbmem]

@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 @orbmem]

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

[Orbmem @orbmem]

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

[Orbmem @orbmem]

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

[Orbmem @orbmem]

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

[Orbmem @orbmem]

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

[Orbmem @orbmem]

@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.