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Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-preview

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Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-preview

#1
Scored 65.2% vs google's official 47.8%, and the existing top closed source model Junie CLI's 64.3%.

Since there are a lot of reports of deliberate cheating on TerminalBench 2.0 lately (https://debugml.github.io/cheating-agents/), I would like to also clarify a few things

1. Absolutely no {agents/skills}.md files were inserted at any point. No cheating mechanisms whatsoever

2. The cli agent was run in leaderboard compliant way (no modification of resources or timeouts)

3. The full terminal bench run was done using the fully open source version of the agent, no difference between what is on github and what was run.

I was originally going to wait for it to land on the leaderboard, but it has been 8 days and the maintainers do not respond unfortunately (there is a large backlog of the pull requests on their HF) so I decided to post anyways.

HF PR: https://huggingface.co/datasets/harborframework/terminal-ben...

It is astounding how much the harness matters, based on this and other experiments I have done.

Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-preview
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Re: Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-preview

#4
Interesting things Dirac does:

1. Uses an optimized version of Hash-Anchored edits for file editing (https://dirac.run/posts/hash-anchors-myers-diff-single-token)

2. Utilizes language's AST to decide what to fetch into context, entirely avoids large code file reads

3. Batches all operations. Does large number of reads/edits simultaneously (you can see a video demo for deepseek-v4-flash here https://www.reddit.com/r/LocalLLaMA/comments/1suhdki/tested_...)

4. Allows the model to execute code to analyze things on the fly, so the model can simply write bash/python/perl script to accomplish things where appropriate

5. A lot of context curation and opportunistic context updates, i.e. put into context anything that you are certain model would ask next

Re: Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-preview

#5

Sorry I couldn’t really figure out if this was a harness, a fine tuned model, or both. Can we use Qwen with this for example? Is the performance expected to be better in that case?

The model was the default gemini-3-flash-preview.

Harness was https://www.npmjs.com/package/dirac-cli

Since Dirac is Cline's heavily modified fork, it supports all models Cline supported, including Qwen and all popular open/closed models

As a matter of fact, I am trying to run terminal bench 2.0 using some OSS models at the moment but the slow inference speeds are causing tasks to timeout

Re: Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-preview

#9
Very interesting! I've often thought static analysis could really help agents (I wrote this last summer: https://martinalderson.com/posts/claude-code-static-analysis...), but despite being hyped for LSPs in Claude Code it turned out to be very underwhelming (for many of the reasons that they can be annoying in a "real" IDE, ie static analysis starts firing mid edit and complaining and cached analysis getting stuck).

Curious to know if this has been an issue with your AST approach on larger projects?

The hash line based numbering is very interesting too (though I see on Opus 4.5+ far far fewer editing errors).

I've often thought that even if model progress stopped today, we'd still have _years_ of improvements thru harness iteration.

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