R
RightNow-AI/autokernel
Open source Domain-Specific Adaptations
Updated Sep 16, 2026
·
Compared with 5 other Domain-Specific Adaptations agents Open source Self-hostable Updated Sep 2026
Open Source
Updated Sep 2026
Self-hostable
Pricing
Open SourcePricing not publicly listed.
Use cases
Optimizing CUDA kernels for deep learning frameworks Improving performance of custom GPU-accelerated algorithms Benchmarking and tuning kernels for scientific computing applications Automating kernel optimization in HPC workflows
Pros & cons
Pros
- Open-source and self-hostable, allowing full customization
- Automates repetitive optimization tasks, saving developer time
- Iterative approach ensures measurable performance improvements
Cons
- Requires GPU expertise to interpret results and guide optimization
- Limited to kernel-level optimizations, not broader architectural improvements
- Performance gains may vary significantly across different hardware
Overview
RightNow-AI/autokernel is an open-source AI agent designed to optimize GPU kernels through an automated research loop. It profiles performance bottlenecks, iteratively edits and benchmarks kernels, and decides whether to keep or revert changes for continuous improvement.
Problem it solves
It automates the tedious and error-prone process of manually optimizing GPU kernels for performance, reducing the need for trial-and-error adjustments by developers.
Target audience: Developers and teams working with domain-specific adaptations automation.
Inputs
- User configuration
- API credentials (if required)
- Task parameters
Outputs
- Automated task results
- Status reports
- Generated content or actions
Example workflow
- 1 User configures the agent with required parameters
- 2 Agent receives input data or trigger
- 3 Agent processes the request using its core logic
- 4 Agent interacts with external services if needed
- 5 Results are returned to the user
Sample system prompt
You are RightNow-AI/autokernel, an AI assistant. Help the user accomplish their task efficiently.
Tools & technologies
LLM APIs Python
Alternatives
See all Domain-Specific Adaptations alternatives to RightNow-AI/autokernelRelated AI Agents
Compare RightNow-AI/autokernel
FAQs
- What is RightNow-AI/autokernel?
- RightNow-AI/autokernel is an open-source AI agent designed to optimize GPU kernels through an automated research loop. It profiles performance bottlenecks, iteratively edits and benchmarks kernels, and decides whether to keep or revert changes for continuous improvement.
- How much does RightNow-AI/autokernel cost?
- RightNow-AI/autokernel's pricing model is Open Source. Pricing not publicly listed.
- What is RightNow-AI/autokernel used for?
- RightNow-AI/autokernel is used for: Optimizing CUDA kernels for deep learning frameworks; Improving performance of custom GPU-accelerated algorithms; Benchmarking and tuning kernels for scientific computing applications; Automating kernel optimization in HPC workflows.
- What are the best alternatives to RightNow-AI/autokernel?
- RightNow-AI/autokernel is a Domain-Specific Adaptations AI agent. Compare it with the best alternatives — ranked by features, pricing, and use case — on our RightNow-AI/autokernel alternatives page.
- Is RightNow-AI/autokernel open source?
- Yes, RightNow-AI/autokernel is open source.
- Can RightNow-AI/autokernel be self-hosted?
- Yes, RightNow-AI/autokernel can be self-hosted.
- What skill level is required to use RightNow-AI/autokernel?
- RightNow-AI/autokernel is designed for intermediate users.
Rate this agent
Your rating:
Reviews
Loading reviews...
Write a review
Ready to try this agent?
RightNow-AI/autokernel