# Mem0

6 Hacker News commenters recommended Mem0 and 14 criticized it, November 2025 to November 2026. It was recommended in 6 of 13 months.

**Verdict:** Recommended as a middle layer for selective, real-time memory retrieval and updates in AI agents. Critics say it depends heavily on LLM and embedding API calls, which adds cost.

## Why people recommend it

- Selective, real-time retrieval and updates (2 comments): "lets you retrieve selectively and only grab what's relevant to the current query" ([source](https://news.ycombinator.com/item?id=46899070)) "a middle-layer like Mem0 for realtime retrial and updates" ([source](https://news.ycombinator.com/item?id=49448908))

## What people warn about

- Depends on LLM and embedding APIs (7 comments): "heavy runtimes (Python/Node), docker containers, proprietary storage silos, and recurring embedding API costs" ([source](https://news.ycombinator.com/item?id=49581249)) "every AI memory system I looked at (Mem0, Zep, Cognee, Letta/MemGPT) sends your text to an LLM" ([source](https://news.ycombinator.com/item?id=47143873)) "We built it because Mem0/Zep were too expensive and too LLM-dependent." ([source](https://news.ycombinator.com/item?id=47696454))
- Heavy runtime and infrastructure (4 comments): "heavy runtimes (Python/Node), docker containers, proprietary storage silos, and recurring embedding API costs" ([source](https://news.ycombinator.com/item?id=49581249)) "all require REST APIs, external embedding services, or custom SDKs" ([source](https://news.ycombinator.com/item?id=47623673)) "requires a vector DB, embedding API, or 50+ pip dependencies." ([source](https://news.ycombinator.com/item?id=47234779))
- Expensive over long conversations (2 comments): "We built it because Mem0/Zep were too expensive and too LLM-dependent." ([source](https://news.ycombinator.com/item?id=47696454)) "14–77× more expensive over a full conversation" ([source](https://news.ycombinator.com/item?id=46032522))

## Alternatives hackers recommend

- [Engrim](https://hackerapproved.com/p/engrim.md): 21 recommend
- [MemPalace](https://hackerapproved.com/p/mempalace.md): 9 recommend
- [Grov](https://hackerapproved.com/p/grov.md): 8 recommend
- [claude-mem](https://hackerapproved.com/p/claude-mem.md): 8 recommend
- [Letta](https://hackerapproved.com/p/letta.md): 8 recommend

## Cite as

Hacker Approved, "Mem0", https://hackerapproved.com/p/mem0/ (counts from 1,795,640 Hacker News comments, November 2025 to November 2026).