MirrorNeuron logoMirrorNeuron
Try it
Back to Home
Why MirrorNeuron

Build and run deep agents, locally and at scale.

Run a blueprint on one PC. MirrorNeuron preserves the work through failures and pauses, then lets you pool trusted machines when you need more compute.

Browse blueprintsInstallation guide
A focused runtime

Start with the workflow, not the orchestration project.

MirrorNeuron handles the lifecycle around long-running work while keeping the starting path small and inspectable.

  1. 01

    Start with a blueprint

    Run a working agent flow first, then adapt its code, tools, and models to your work.

  2. 02

    Keep progress durable

    State, retries, checkpoints, and human pauses stay with the run through failures and restarts.

  3. 03

    Operate it on your machines

    Keep the runtime close to your files, GPUs, sensors, and private systems. Add machines only when needed.

From one PC to a cluster

One machine first. A cluster when you need it.

Keep the same workflow from a developer machine to a private, mixed-hardware pool.

  1. 01

    Build a cluster in minutes

    Start on one machine, then connect trusted PCs without redesigning the workflow.

  2. 02

    Pool resources with one command

    Add another machine to share compute and keep agent work moving across the cluster.

  3. 03

    Mix the hardware you already have

    Run one private cluster across different operating systems and accelerator platforms.

    • macOS
    • Linux
    • WSL2
    • Apple Silicon
    • NVIDIA
    • AMD
    • Intel
Different jobs, different tools

Pick the runtime that fits the work.

Airflow and Temporal solve broad orchestration problems. MirrorNeuron stays focused on agents that run locally, keep working, and react in real time.

Airflow

Pipeline scheduler

Best for
Scheduled data pipelines and batch DAGs
How it starts
Define DAGs and operate a shared scheduler.

Temporal

Durable application platform

Best for
Application services that need durable execution
How it starts
Adopt its workflow model and run workers with a Temporal service.

MirrorNeuron

Local first

Local agent runtime

Best for
Long-running and real-time local agents
How it starts
Run a blueprint directly on your PC, edge machine, or private cluster.
When it fits

Use it when the work needs to keep going.

These signals matter more than team size or deployment shape.

  1. 01

    The work outlives one request

    MirrorNeuron is useful when an agent runs for hours or days, waits for events or people, or returns to the same job repeatedly.

  2. 02

    Losing progress is expensive

    Persisted state matters when restarting from the beginning would waste model calls, tool work, human review, or experimental results.

  3. 03

    The runtime should stay close to the data

    Local and private deployment helps when workflows depend on internal files, engineering tools, sensors, video, or regulated systems.

  4. 04

    You want a runtime, not a platform project

    MirrorNeuron is intentionally narrow. It handles the lifecycle around agent work without trying to replace every scheduler or application service.