Letta vs Mem0
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Letta
Framework and cloud for building stateful AI agents with long-term mem...
Visit
|
Mem0
A memory layer for AI agents that lets them remember users and past in...
Visit
|
|
|---|---|---|
| RECATOOLS Score | 7 / 10 | 7.5 / 10 |
| Capability | — | — |
| Value for money | — | — |
| Ease of use | — | — |
| ASEAN readiness | — | — |
| API quality | — | — |
| Pricing | Freemium | Freemium |
| Free tier | Open-source framework (Apache-2.0) is free to self-host. | Open-source library (Apache-2.0) is free to self-host; managed cloud has a free starter tier. |
| Paid from | Letta Cloud paid usage-based plans for hosted agents. | Paid managed cloud plans for higher usage (usage-based). |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | 60K+ GitHub stars |
| Founded | 2024 | 2023 |
| Maker | Charles Packer, Sarah Wooders | Taranjeet Singh, Deshraj Yadav |
| Verdict | What this is for: Building agents that keep persistent, self-managed memory and state across long-running interactions. Who this is for: Developers who need agents with durable memory rather than stateless prompt-and-re... |
What this is for: Adding long-term, personalized memory to AI agents and assistants so they recall users and prior context. Who this is for: Developers building agents, chatbots, or copilots that need persistence beyond... |
| Full review → | Full review → |
← Back to AI Directory
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.