Context Mode vs Supermemory
Side-by-side comparison of two AI agent tools
Short answer
- Context Mode is growing faster: +7,280 GitHub stars in the last 30 days vs +280 for Supermemory.
- Pick Context Mode for: mCP server that sandboxes tool output, persists session memory, and enforces routing across platforms. Pick Supermemory for: memory and context engine + app that is extremely fast, scalable, and can be run fully locally.
From GitHub data refreshed daily.
C
Context Modeopen-source
MCP server that sandboxes tool output, persists session memory, and enforces routing across platforms
S
Supermemoryopen-source
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Metrics
| Context Mode | Supermemory | |
|---|---|---|
| Stars | 25.1k | 31.1k |
| Star velocity /mo | 7.3k | 280 |
| Commits (90d) | 141 | 187 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 88.9K | — |
| Overall score | 0.8332926937375552 | 0.730923354028454 |
FAQ
- Which is more popular, Context Mode or Supermemory?
- Supermemory has more GitHub stars (31,067 vs 25,150).
- Which is more actively developed, Context Mode or Supermemory?
- Supermemory had more commits in the last 90 days (187 vs 141).
- Should I use Context Mode or Supermemory?
- 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.