mem0 vs Memori
A side-by-side comparison of mem0 and Memori, two Memory tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | mem0 | Memori |
|---|---|---|
| Category | Memory | Memory |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | API, CLI | API |
| Model support | BYO key / model | BYO key / model |
| Vendor (differs) | Mem0 | MemoriLabs |
| Capabilities (differs) |
|
|
The honest brief
mem0
Fastest path to agent memory — extracts distilled facts with a tiny token footprint and the biggest community.
- Quick to adopt, broad framework integrations
- Stores distilled facts, small footprint
- Vector + graph + key-value storage
- Open-source with usable free tier
- Weaker on temporal/state-change queries
- LLM call on every write adds latency
- Test deletion/conflict handling for regulated use
- More library than full memory server
Memori
Stores agent memory in ordinary SQL (Postgres/MySQL/SQLite) with one line of code — no separate vector database to run or pay for.
- Persistent memory in standard SQL databases
- LLM-agnostic; bring any provider key
- No vendor lock-in; data stays in your DB
- Dual-mode working + long-term recall
- Younger than Mem0/Zep, smaller ecosystem
- SQL-first design may not suit graph use cases
- Self-hosting means you run the database
When to pick which
Both cover Agent memory and Vector search.
Pick mem0 if you need MCP server.
- MCP server (secondary capability)
They also differ on:
- Platforms
- API, CLI · API