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 Letta (MemGPT) vs Mem0 by community traction (★ 63k vs ★ 24k). Pick Letta (MemGPT) for persistent agents; pick Mem0 for personalized agents.
✓ Live data verified
| Letta (MemGPT) | Mem0 | |
|---|---|---|
| GitHub stars | ★ 24k | ★ 63k |
| Language | Python | Python |
| Category | Agent memory | Agent memory |
| Best for | persistent agents | personalized agents |
| Repository | letta-ai/letta | mem0ai/mem0 |
Letta (MemGPT) and Mem0 are both credible choices. By community traction, Mem0 leads (★ 63k). Pick Letta (MemGPT) for persistent agents; pick Mem0 for personalized agents.
Both are credible agent memory. By community traction Mem0 leads (★ 63k). Pick Letta (MemGPT) for persistent agents; pick Mem0 for personalized agents.
Letta (MemGPT) is Stateful agents with long-term memory and self-editing context, evolved from the MemGPT research.. Mem0 is A memory layer for AI agents — extracts, stores, and retrieves user/agent facts across sessions..
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.
Letta (MemGPT) is primarily Python; Mem0 is primarily Python.
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