Context Mode vs DBX
Side-by-side comparison of two AI agent tools
Short answer
- DBX is growing faster: +11,030 GitHub stars in the last 30 days vs +7,280 for Context Mode.
- Pick Context Mode for: mCP server that sandboxes tool output, persists session memory, and enforces routing across platforms. 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
Context Modeopen-source
MCP server that sandboxes tool output, persists session memory, and enforces routing across platforms
D
DBXopen-source
25 MB cross-platform client for 100+ databases with a built-in AI assistant and MCP Server
Metrics
| Context Mode | DBX | |
|---|---|---|
| Stars | 25.1k | 24.2k |
| Star velocity /mo | 7.3k | 11.0k |
| Commits (90d) | 141 | 4.8k |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 88.9K | — |
| Overall score | 0.8332926937375552 | 0.9464688572947592 |
FAQ
- Which is more popular, Context Mode or DBX?
- Context Mode has more GitHub stars (25,150 vs 24,178).
- Which is more actively developed, Context Mode or DBX?
- DBX had more commits in the last 90 days (4,839 vs 141).
- Should I use Context Mode 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.