Skill_Seekers vs TencentDB-Agent-Memory
Side-by-side comparison of two AI agent tools
Short answer
- TencentDB-Agent-Memory is growing faster: +670 GitHub stars in the last 30 days vs +350 for Skill_Seekers.
- Pick Skill_Seekers for: convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict. 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.
S
Skill_Seekersopen-source
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
T
TencentDB-Agent-Memoryopen-source
Shared memory server that turns conversations, documents, and code into reusable memory assets for AI agents
Metrics
| Skill_Seekers | TencentDB-Agent-Memory | |
|---|---|---|
| Stars | 15.1k | 27.7k |
| Star velocity /mo | 350 | 670 |
| Commits (90d) | 110 | 53 |
| Releases (6m) | 8 | 10 |
| Downloads (30d, npm + PyPI) | 17.7K | — |
| Overall score | 0.6782102447520774 | 0.732252791093515 |
FAQ
- Which is more popular, Skill_Seekers or TencentDB-Agent-Memory?
- TencentDB-Agent-Memory has more GitHub stars (27,655 vs 15,094).
- Which is more actively developed, Skill_Seekers or TencentDB-Agent-Memory?
- Skill_Seekers had more commits in the last 90 days (110 vs 53).
- Should I use Skill_Seekers 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.