# KernelGen

**Repository Path**: swpuaaa/KernelGen

## Basic Information

- **Project Name**: KernelGen
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-04-28
- **Last Updated**: 2026-04-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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.