DeepSeek HarnessvsResume-Matcher
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| DeepSeek Harness | Resume-Matcher | |
|---|---|---|
| Score | 87/100 | 81/100 |
| Rank in category | #3 of 209 in AI Agents | #1 of 12 in Document Processing |
| GitHub stars | 265 053 | 28 917 |
| Stars, last 30 days | +9 061 | +403 |
| Stable releases, 12 months | 0 | 5 |
| Latest release | — | v1.4.0 · 21 Oct 2026 |
| Setup | Moderate | Easy |
| Official Docker image | No | Yes |
| License | MIT | Apache-2.0 |
| Main language | Typescript | Python |
Which one should you pick?
DeepSeek Harness scores 87/100 against 81/100 for Resume-Matcher, so it is the safer default.
Resume-Matcher ships more often: 5 stable releases in the past year, against 0 for DeepSeek Harness.
If you want the quickest setup, Resume-Matcher is easier to run; DeepSeek Harness needs more configuration.
DeepSeek Harness is growing faster right now (+9 061 stars in 30 days).
DeepSeek Harness details →Resume-Matcher details →