MemOS vs TencentDB-Agent-Memory
Side-by-side comparison of two AI agent tools
M
MemOSopen-source
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harne
T
TencentDB-Agent-Memoryopen-source
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LL
Metrics
| MemOS | TencentDB-Agent-Memory | |
|---|---|---|
| Stars | 11.7k | 27.6k |
| Star velocity /mo | 971.6666666666666 | 2.3k |
| Commits (90d) | 264 | 53 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.730926100634913 | 0.7655006828150775 |
FAQ
- Which is more popular, MemOS or TencentDB-Agent-Memory?
- TencentDB-Agent-Memory has more GitHub stars (27,588 vs 11,660).
- Which is more actively developed, MemOS or TencentDB-Agent-Memory?
- MemOS had more commits in the last 90 days (264 vs 53).
- Should I use MemOS or TencentDB-Agent-Memory?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.