Chrome DevTools for agents vs DBX
Side-by-side comparison of two AI agent tools
Short answer
- DBX is growing faster: +11,295 GitHub stars in the last 30 days vs +1,110 for Chrome DevTools for agents.
- Pick Chrome DevTools for agents for: chrome DevTools for coding agents. Pick DBX for: 25 MB cross-platform client for 100+ databases with a built-in AI assistant and MCP Server.
From GitHub data refreshed daily.
C
Chrome DevTools for agentsopen-source
Chrome DevTools for coding agents
D
DBXopen-source
25 MB cross-platform client for 100+ databases with a built-in AI assistant and MCP Server
Metrics
| Chrome DevTools for agents | DBX | |
|---|---|---|
| Stars | 52.9k | 23.8k |
| Star velocity /mo | 1.1k | 11.3k |
| Commits (90d) | 350 | 4.8k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8440977823877475 | 0.950750801484004 |
FAQ
- Which is more popular, Chrome DevTools for agents or DBX?
- Chrome DevTools for agents has more GitHub stars (52,884 vs 23,828).
- Which is more actively developed, Chrome DevTools for agents or DBX?
- DBX had more commits in the last 90 days (4,812 vs 350).
- Should I use Chrome DevTools for agents or DBX?
- 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.