better-harness vs PostTrainBench
better-harness is much bigger: 2.2k stars against 546. Over the days we have tracked them better-harness moved +177.5% and PostTrainBench +55.6%, so better-harness is growing faster right now.
They split the axes: better-harness leads on setup ease, PostTrainBench on model freedom.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Reviews AI coding workflows end-to-end and produces evidence-bounded, prioritized findings across five Agent Work Loop dimensions rather than only analyzing final diffs.
- Stars
- 2.2k
- Tracked growth
- +177.5%
- Maturity
- ●●●●●
- Last commit
- 1d ago
- Language
- JavaScript
- License
- MIT
- Cost to run
- Depends on host and agent (may use paid services)
Measures autonomous CLI agents' ability to post-train base LLMs within a 10‑hour H100 budget, evaluating agent-driven R&D rather than only inference.
- Stars
- 546
- Tracked growth
- +55.6%
- Maturity
- ●●●●●
- Last commit
- 2d ago
- Language
- Python
- License
- MIT
- Cost to run
- Your API keys + H100 GPU (cluster or rented)
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | better-harness | PostTrainBench |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Whole-repo analysis | ●●●●● Whole-repo access |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Evidence-backed findings | ●●●●● Judge + rules |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Extensible configs & plugins | ●●●●● Configurable CLI options |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable | ●●●●● APIs with your key |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Multiple host providers | ●●●●● BYO key + local models |
Setup ease What it takes to get a first useful run out of it. | ●●●●● Host-specific quick start | ●●●●● Container + cluster setup |
Which one to pick
Pick better-harness if…
Workflow-focused — pick Better Harness when you want honest, evidence-backed reviews of your agents' task understanding, execution, validation, delivery, and learning capture.
- Setup ease: Host-specific quick start (4/5 against 2/5)
Pick PostTrainBench if…
Autonomy-focused — use this to benchmark end-to-end agent-driven post-training of base models on an H100 with built-in evaluation tasks and reward‑hacking mitigations.
- Model freedom: BYO key + local models (5/5 against 3/5)
What people want from each one
QoderAI/better-harness
aisa-group/PostTrainBench
Questions people ask
Is better-harness better than PostTrainBench?
They split the axes: better-harness leads on setup ease, PostTrainBench on model freedom. better-harness is worth picking when workflow-focused — pick Better Harness when you want honest, evidence-backed reviews of your agents' task understanding, execution, validation, delivery, and learning capture.
Which of better-harness and PostTrainBench keeps my code private?
better-harness: Self-hostable (4/5). PostTrainBench: APIs with your key (3/5).
What does each one cost to run?
better-harness: Depends on host and agent (may use paid services). PostTrainBench: Your API keys + H100 GPU (cluster or rented).
Full profiles: QoderAI/better-harness and aisa-group/PostTrainBench. Everything else in Evals & benchmarks.