Context Mode 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 +7,380 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 | 24.9k | 23.8k |
| Star velocity /mo | 7.4k | 11.3k |
| Commits (90d) | 143 | 4.8k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8475478487279013 | 0.950750801484004 |
FAQ
- Which is more popular, Context Mode or DBX?
- Context Mode has more GitHub stars (24,914 vs 23,828).
- Which is more actively developed, Context Mode or DBX?
- DBX had more commits in the last 90 days (4,812 vs 143).
- 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.