Context Mode vs MemOS
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 +220 for MemOS.
- Pick Context Mode for: mCP server that sandboxes tool output, persists session memory, and enforces routing across platforms. Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval.
From GitHub data refreshed daily.
C
Context Modeopen-source
MCP server that sandboxes tool output, persists session memory, and enforces routing across platforms
M
MemOSopen-source
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
Metrics
| Context Mode | MemOS | |
|---|---|---|
| Stars | 25.1k | 11.7k |
| Star velocity /mo | 7.3k | 220 |
| Commits (90d) | 141 | 260 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 88.9K | 1.5K |
| Overall score | 0.8332926937375552 | 0.6983179212295428 |
FAQ
- Which is more popular, Context Mode or MemOS?
- Context Mode has more GitHub stars (25,150 vs 11,682).
- Which is more actively developed, Context Mode or MemOS?
- MemOS had more commits in the last 90 days (260 vs 141).
- Should I use Context Mode or MemOS?
- 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.