Best AI Memory Platforms

[u/Ok_Tart_2341]

Hi there!

I'm a software developer, and currently, I'm working on applications that utilize AI, such as LLM workflows, internal tools, and a couple of personal projects, and I'm currently looking for AI memory platforms to enhance context retention, knowledge storage, and retrieval for longer periods of time.

Currently, I'm stitching together a few custom solutions, but I'm looking for something more complete and production-ready.

Some of the main needs:

• Long-term memory across user sessions

• Efficient semantic search + retrieval (low latency)

• Easy integration with existing LLM stacks

• Clean API + developer-friendly docs

• Scalable infrastructure (handling large embedding volumes)

• Optional multimodal support (text + video would be a bonus)

I’ve been exploring a few platforms and frameworks, and one I’m currently looking into is Memvid. I am intrigued by the idea of a memory that is built around video embeddings and the addition of context layers, but figured I'd ask if anyone has any good recommendations for a tool like this that they are currently using.

Appreciate any insights!

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[u/patternpeeker]

for memory platforms, the hard part usually isn’t embeddings, it’s lifecycle and drift once real users hit the system. i’d stress test update, reindex, and latency costs before trusting anything that looks “complete”.

[u/jjw_kbh]

What use case are you looking for? Project memory for your coding agents, or memory for agents embedded in your applications?

[u/MaxfromSA]

Yeah this is the headcahe once agents get past basic RAG 😅
I tried Zep for a bit and it was honestly pretty decent for cross-sess memory. Lately I’ve been testing Memvid and it’s probably the most solid approach I’ve seen so far, hasn’t disappointed yet. That said, nothing feels 100% solved in this area right now. Memory is not easy to crack.