Graft vs GraphRAG
Side-by-side comparison of two AI agent tools
Short answer
- Graft is growing faster: +1,065 GitHub stars in the last 30 days vs +195 for GraphRAG.
- Pick Graft for: turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual. Pick GraphRAG for: a modular graph-based Retrieval-Augmented Generation (RAG) system.
From GitHub data refreshed daily.
G
Graftopen-source
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.
G
GraphRAGopen-source
A modular graph-based Retrieval-Augmented Generation (RAG) system
Metrics
| Graft | GraphRAG | |
|---|---|---|
| Stars | 9.5k | 36.2k |
| Star velocity /mo | 1.1k | 195 |
| Commits (90d) | 506 | 27 |
| Releases (6m) | 0 | 5 |
| Overall score | 0.7281102466707609 | 0.5998864676310176 |
FAQ
- Which is more popular, Graft or GraphRAG?
- GraphRAG has more GitHub stars (36,191 vs 9,504).
- Which is more actively developed, Graft or GraphRAG?
- Graft had more commits in the last 90 days (506 vs 27).
- Should I use Graft or GraphRAG?
- 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.