memvid vs TencentDB-Agent-Memory
Side-by-side comparison of two AI agent tools
Short answer
- TencentDB-Agent-Memory is growing faster: +750 GitHub stars in the last 30 days vs +75 for memvid.
- Pick memvid for: memory layer for AI Agents. Pick TencentDB-Agent-Memory for: shared memory server that turns conversations, documents, and code into reusable memory assets for AI agents.
From GitHub data refreshed daily.
m
memvidopen-source
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
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TencentDB-Agent-Memoryopen-source
Shared memory server that turns conversations, documents, and code into reusable memory assets for AI agents
Metrics
| memvid | TencentDB-Agent-Memory | |
|---|---|---|
| Stars | 16.6k | 27.6k |
| Star velocity /mo | 75 | 750 |
| Commits (90d) | 2 | 53 |
| Releases (6m) | 1 | 10 |
| Overall score | 0.4024477331418405 | 0.7602302776673251 |
FAQ
- Which is more popular, memvid or TencentDB-Agent-Memory?
- TencentDB-Agent-Memory has more GitHub stars (27,638 vs 16,572).
- Which is more actively developed, memvid or TencentDB-Agent-Memory?
- TencentDB-Agent-Memory had more commits in the last 90 days (53 vs 2).
- Should I use memvid 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.