Comparison
Built different from
CodeRabbit and CodeAnt
Not just cheaper — fundamentally more trustworthy. Every finding has a source.
| Feature | GrapeRoot | CodeRabbit | CodeAnt | Greptile |
|---|---|---|---|---|
| Graph-proven findings | Real import edges | LLM guess | LLM guess | Partial |
| Cross-repo blast radius | ||||
| Committable suggestions | ||||
| Rate limits | None | 5–10/hr (Pro) | None | None |
| Self-hosted at Pro tier | Enterprise only | Enterprise only | Enterprise only | |
| Free for open source | 5 reviews/mo | Unlimited | 100% discount | Qualified OSS |
| Price / user / month | $15 | $24 | $24–30 | $30 |
| BYOK (your API key) | Self-hosted | |||
| Code leaves your server | Never | Yes | Yes | Yes |
“Every finding is graph-proven — we cite the exact import chain, not a guess.”
The one claim no competitor can match. CodeAnt's headline stat is 87.6% F1. GrapeRoot's is 0 graph-fabricated findings — because the graph either has the edge or it doesn't.
Graph-proven blast radius
index_set.go → compactor.go → shipper.go → store/chunk_store.go
vs token compression
GrapeRoot vs Headroom
Headroom (30k+ stars) compresses context after you select it. GrapeRoot selects the right context before you ever read a file. They solve different problems — and work best together.
| Dimension | GrapeRoot | Headroom |
|---|---|---|
| What it does | Selects which context to send | Compresses context after selection |
| Works at | Upstream (selection) | Downstream (compression) |
| Knows your codebase | Yes — graph of every symbol/edge | No — stateless per request |
| Finds the right 8 files | Yes — graph traversal query | No — compresses whatever it receives |
| Cross-file relationships | Yes — import edges, call graphs | No — AST within a single file only |
| Lossless | Yes — original code untouched | No — lossy by design (CCR recovery) |
| Token savings mechanism | Read 8 relevant files not 40 | Shrink those 40 files by 60–92% |
| Open source | No | Yes — Apache 2.0, 30k+ stars |
| Works together? | Yes — complementary | Yes — complementary |
“Headroom shrinks 40 files down. GrapeRoot tells you it's only 8 files you need.”
Token compression and context selection are complementary — not competitive. Run GrapeRoot to pick the right files, then Headroom to compress them. Together they give you the lowest possible token spend with the highest signal.