Memori vs TencentDB-Agent-Memory
Side-by-side comparison of two AI agent tools
M
Memorifreemium
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production
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
| Memori | TencentDB-Agent-Memory | |
|---|---|---|
| Stars | 17.0k | 27.6k |
| Star velocity /mo | 1.4k | 2.3k |
| Commits (90d) | 5 | 53 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.6611191257289188 | 0.7655006828150775 |
FAQ
- Which is more popular, Memori or TencentDB-Agent-Memory?
- TencentDB-Agent-Memory has more GitHub stars (27,588 vs 17,027).
- Which is more actively developed, Memori or TencentDB-Agent-Memory?
- TencentDB-Agent-Memory had more commits in the last 90 days (53 vs 5).
- Should I use Memori 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.