Run dependable AI workflows
on your machines
Bring your work. MirrorNeuron handles execution.
Bring your work. Get a runtime.
Turn working code into a dependable workflow — without building the execution stack yourself.
Use the smallest runtime that solves the problem.
Start simple. Add infrastructure only when the work demands it.
Work that outlives a chat.
Long-running AI work that needs to survive failures, adapt, or stay local.
Deep knowledge work
Research, analysis, and multi-step reasoning that can run for minutes or hours, preserve intermediate results, and resume without starting over.
Decisions with humans in the loop
Workflows where new information can change the plan and important actions need review, approval, or intervention — without losing state or history.
Local & edge execution
Keep AI close to the data, devices, and systems it depends on. Run on private infrastructure, tolerate unreliable connectivity, and avoid mandatory cloud dependencies.
Run your first workflow.
Start from a working blueprint, inspect the execution, then replace the example logic with your own code.
$ curl -fsSL https://mirrorneuron.io/install.sh | bash$ mn blueprint run vc_assistant