Head to head
webfetch vs Code Context
Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.
No reviews yet
Self-hosted web search for LLM agents: search -> fetch -> rank pipeline with semantic caching
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No reviews yet
Local code search for AI coding agents: hybrid keyword + semantic + SQL over an index in your repo.
Full listingThe short version
Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours Code Context (91/100 against 71).
| webfetch | Code Context | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | B71/100 | A91/100 |
| Adoption | Growing | Growing |
| GitHub stars | 56 | 31 |
| Downloads / week | 18 | 70 |
| Runs where | Your machine (local) | Your machine (local) |
| Gateway-ready | No | No |
| Tools | 5 | 3 |
| Write actions | — | — |
| Price per call | Free | Free |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-07-23 | 2026-09-21 |
| Category | SEO | SEO |