Context Mode vs EverOS
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 +150 for EverOS.
- Pick Context Mode for: mCP server that sandboxes tool output, persists session memory, and enforces routing across platforms. Pick EverOS for: one portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving.
From GitHub data refreshed daily.
C
Context Modeopen-source
MCP server that sandboxes tool output, persists session memory, and enforces routing across platforms
E
EverOSopen-source
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Metrics
| Context Mode | EverOS | |
|---|---|---|
| Stars | 25.1k | 13.3k |
| Star velocity /mo | 7.3k | 150 |
| Commits (90d) | 141 | 83 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 88.9K | — |
| Overall score | 0.8332926937375552 | 0.660120374462766 |
FAQ
- Which is more popular, Context Mode or EverOS?
- Context Mode has more GitHub stars (25,150 vs 13,328).
- Which is more actively developed, Context Mode or EverOS?
- Context Mode had more commits in the last 90 days (141 vs 83).
- Should I use Context Mode or EverOS?
- 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.