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 Zep by community traction (★ 63k vs ★ 4.8k). Pick Mem0 for personalized agents; pick Zep for temporal memory.
✓ Live data verified
| Mem0 | Zep | |
|---|---|---|
| GitHub stars | ★ 63k | ★ 4.8k |
| Language | Python | Go |
| Category | Agent memory | Agent memory |
| Best for | personalized agents | temporal memory |
| Repository | mem0ai/mem0 | getzep/zep |
Mem0 and Zep are both credible choices. By community traction, Mem0 leads (★ 63k). Pick Mem0 for personalized agents; pick Zep for temporal memory.
Both are credible agent memory. By community traction Mem0 leads (★ 63k). Pick Mem0 for personalized agents; pick Zep for temporal memory.
Mem0 is A memory layer for AI agents — extracts, stores, and retrieves user/agent facts across sessions.. Zep is Long-term memory store for agents with a temporal knowledge graph of facts and their validity over time..
Mem0 has more — ★ 63k vs ★ 4.8k (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; Zep is primarily Go.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.