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.