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minghinmatthewlam / openbench

Same model, different wrapper: a from-scratch benchmark comparing coding-agent harnesses (codex, pi, opencode, cursor, devin) and open models on correctness, speed, and token cost

Why this job: says: benchmark; topics: evals, benchmark

What it does

Each harness runs headlessly against a set of self-contained coding tasks. A task is graded by a checker script (exit 0 = solved, optional SCORE: for partial credit), never by the harness's own claim of success.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 2 months ago
Stars
137
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v1.0.0
Released 3 months ago
Built with
Python
61% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
0% closed
7 still open
Pull requests
34 merged
7 waiting
Releases
2
2 in the last year

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More: languages, topics and project record

Languages

  • Python 61%
  • G-code 33%
  • Shell 2%
  • Scheme 2%

Topics

  • ai-agents
  • benchmark
  • coding-agents
  • evals
  • llm
  • open-models

Project record

  • JobEvals and observability
  • StatusListed
  • Commits903
  • Forks10
  • Watching0
  • Stars in 28 days+1
  • CreatedJun 19, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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