Context7 Platform vs Graft
Side-by-side comparison of two AI agent tools
Short answer
- Graft is growing faster: +870 GitHub stars in the last 30 days vs +550 for Context7 Platform.
- Pick Context7 Platform for: context7 Platform -- Up-to-date code documentation for LLMs and AI code editors. Pick Graft for: turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual.
From GitHub data refreshed daily.
C
Context7 Platformopen-source
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
G
Graftopen-source
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.
Metrics
| Context7 Platform | Graft | |
|---|---|---|
| Stars | 62.6k | 9.5k |
| Star velocity /mo | 550 | 870 |
| Commits (90d) | 117 | 506 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.7521072323266544 | 0.7068809558403568 |
FAQ
- Which is more popular, Context7 Platform or Graft?
- Context7 Platform has more GitHub stars (62,621 vs 9,520).
- Which is more actively developed, Context7 Platform or Graft?
- Graft had more commits in the last 90 days (506 vs 117).
- Should I use Context7 Platform or Graft?
- 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.