meta-pytorch / meta-pytorch/KernelAgent
[Question] Project roadmap and future development plans
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 556
- Forks
- 92
- PR merge metrics
- No merged PRs in 30d
Description
Hi KernelAgent team,
First of all, thank you for this excellent project! KernelAgent brings a very promising vision — combining multi-agent orchestration with hardware-guided GPU kernel optimization.
I've been exploring the project and have a few questions about its future direction:
-
Project Status
The latest commit appears to be from mid-July 2026 (~1.5 months ago). Is the project still under active development? If so, what is the current focus area? -
Roadmap
Are there any planned milestones or a public roadmap for the coming months? I'm particularly interested in:
- New features or capabilities being explored (e.g., expanded kernel patterns, more advanced search strategies)
- Plans for additional hardware backends (beyond the existing CUDA and XPU support)
- Improvements to the LLM-guided optimization loop (better bottleneck analysis, template coverage, etc.)
Any insight you can share would be greatly appreciated.
Thanks!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
This is a project-status and roadmap question, and it names no implementation files, tests, or entry points. There is no defined code change or completion criterion for a newcomer; maintainers would first need to clarify whether a roadmap document or another concrete contribution is wanted.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100