mlc-ai/TIRx-harness
An Open Compiler Harness for Agentic GPU Programming
About the project
A compiler harness for agentic GPU kernel development: combines the TIRx-lite DSL, compiler analysis (synchronization, memory races, numerical behavior) and remote execution via kcoral. Aimed at researchers and engineers training AI agents to write correct and fast GPU kernels.
Useful for
- Run a registered workload optimization through the benchmark server
- Check a GPU kernel for memory races and synchronization errors via compiler analysis
- Execute GPU work on a remote machine while keeping the agent local via kcoral
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 21 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 2 days old and already has 75 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #182.
- About 10 forks a day — people are taking the code.
- Recent forks include notable developers: @MasterJH5574 (689 followers), @mbrukman (391 followers), @Ubospica (283 followers).
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 75
- Today
- 0 · ≈ 21 by evening
- Forks
- 13
- Issues and pull requests
- 13
- Watchers
- 0
- Language
- Rust
- Latest release
- v0.1.2.post1 · September 30, 2026
- Created
- September 29, 2026
- Last push
- September 30, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 1, 2026Top new repositories this week: #179
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