A side-by-side of two agent memory for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: Mem0 leads Mem0 vs Letta (MemGPT) by community traction (★ 63k vs ★ 24k). Pick Mem0 for personalized agents; pick Letta (MemGPT) for persistent agents.
✓ Live data verified
| Mem0 | Letta (MemGPT) | |
|---|---|---|
| GitHub stars | ★ 63k | ★ 24k |
| Language | Python | Python |
| Category | Agent memory | Agent memory |
| Best for | personalized agents | persistent agents |
| Repository | mem0ai/mem0 | letta-ai/letta |
Mem0 and Letta (MemGPT) are both credible choices. By community traction, Mem0 leads (★ 63k). Pick Mem0 for personalized agents; pick Letta (MemGPT) for persistent agents.
Both are credible agent memory. By community traction Mem0 leads (★ 63k). Pick Mem0 for personalized agents; pick Letta (MemGPT) for persistent agents.
Mem0 is A memory layer for AI agents — extracts, stores, and retrieves user/agent facts across sessions.. Letta (MemGPT) is Stateful agents with long-term memory and self-editing context, evolved from the MemGPT research..
Mem0 has more — ★ 63k vs ★ 24k (live counts).
Often yes — many teams combine agent memory. Check each tool's docs for interop; they solve overlapping but not identical problems.
Mem0 is primarily Python; Letta (MemGPT) is primarily Python.
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