KernelGen
Next-Generation AI-Assisted Kernel Engineering for Multi-Chip Systems
Install / Use
/learn @flagos-ai/KernelGenREADME
KernelGen
Next-Generation AI-Assisted Kernel Engineering for Multi-Chip Systems, which is new in Flag-OS family.
Overview
KernelGen is an AI-powered automatic Triton kernel development platform built on the FlagOS ecosystem. It provides a fully automated workflow for operator (kernel) generation, optimization, testing, and deployment across diverse hardware platforms.
With the 2.0 release, KernelGen evolves into a complete AI-native kernel engineering system, introducing MCP-based automation, IDE-integrated skills, enhanced web capabilities, and advanced Triton language extensions.
Experience it from: https://kernelgen.flagos.io
MCP Service (ModelScope): https://www.modelscope.cn/mcp/servers/flagos-ai/FlagOS_KernelGen
Core Features (Enhanced)
- Fully Automated Workflow End-to-end kernel lifecycle automation with MCP + AI agents
- Multi-Backend Support Broad compatibility across AI frameworks and hardware platforms
- AI-Native Development Experience Deep integration with IDEs, agents, and developer workflows
- Standardized Verification Automatic correctness and performance validation
- Deep Ecosystem Integration
Seamless collaboration with:
- FlagGems
- FlagTree
- FlagOS infrastructure
Core Capabilities Comparison
KernelGen 2.0 transforms Triton kernel development from a fixed pipeline into a fully AI-native, agent-driven system — enabling automatic generation, optimization, and integration across hardware and repositories.
Kernel Development & Optimization
| Feature | Version 1.0 | Version 2.0 | |--------|------------|------------| | Workflow Type | Fixed step (Linear pipeline) | Agentic (Iterative & Adaptive) | | Error Handling | Manual debugging | Automatic error fixing (log-driven) | | Optimization | Basic performance test | Auto-tuning + AI-driven optimization | | Testing | Basic correctness & performance tests | Fully automated test generation (correctness + benchmark) | | Kernel Lifecycle Management | Partial | Full lifecycle (generate → optimize → test → integrate) |
Hardware & Performance Capabilities
| Feature | Version 1.0 | Version 2.0 | |--------|------------|------------| | Multi-Hardware Adaptation | Supported | Intelligent auto-adaptation & specialization |
Developer Experience
| Feature | Version 1.0 | Version 2.0 | |--------|------------|------------| | Interface | Web Browser only | Web + IDE + CLI (MCP) | | Development Entry | Web UI only | Natural language + CLI + AI agents | | IDE / Agent Integration | Not supported | Claude Code / VS Code / OpenClaw / MCP agents | | User Productivity | Assisted development | Fully automated development |
Integration & Ecosystem
| Feature | Version 1.0 | Version 2.0 | |--------|------------|------------| | Repository Integration | Manual download & integration | Automatic PR generation via Skills | | Web Platform Features | Basic UI | Operator history tracking + enhanced UX | | Ecosystem Integration | FlagOS basic integration | Deep integration with FlagGems / FlagTree / Skills | | Target Users | Triton developers | Triton developers + AI-native developers |
If you have any suggestion/issue, welcome to record in issues of this repo.
