SchedCP - Automatically Optimize Linux Scheduler with MCP Server

WIP: We are building a benchmark for evaluating the optimizations for OS!

SchedCP is an experimental project that enables AI optimization of Linux kernel schedulers using the sched-ext framework. It provides e2e automatic scheduler selection/synthesis, workload profiling, and performance optimization without any human intervention or guidance.

Paper: SchedCP: Towards Agentic OS

The future is not just about letting AI write code for you; the AI agent should act as your system administrator, able to optimize anything for you automatically, without requiring any manual intervention!

It includes the following tools:

• autotune - AI Agent-powered automatic OS optimization
• schedcp - MCP server for scheduler management and generation

Demo

Start optimize any workload with AI by simply run:

autotune/target/release/autotune cc "<your workload command>"
# example for linux build
autotune/target/release/autotune cc "make -C workloads/linux-build-bench/linux clean -j && make -C workloads/linux-build-bench/linux -j" 
# example for schbench
autotune/target/release/autotune cc  workloads/basic/schbench/schbench

Allow LLM Agent to auto select and config the best scheduler:

Allow LLM Agents to write new schedulers:

Features & design

• Automatic workload profiling
• Automatic scheduler selection based on workload characteristics
• Performance tracking across different schedulers