DESKTOP AI PROTOTYPE
Prototype a durable workflow on a developer machine before cluster setup becomes part of the conversation.
On-edge AI infrastructure for durable workflows
Run near your data, start from blueprints, and move the same normal-code workflow to an edge node, private cluster, or cloud when needed.
For agent workflows that are too long-running for scripts and too lightweight to justify Airflow or Temporal.
>_Copy and install
$ curl -fsSL https://mirrorneuron.io/install.sh | bashWSL
Open source with MIT license.
Start from a blueprint
Pick one, run one command, customize later.
Ready in minutes
Marketing
Personal email outreach, every day
Find the right audience, draft personal follow-ups, send approval-ready variants, and track replies as a repeatable campaign worker.
>_Run the blueprint
$ mn blueprint run business_customer_lifecycle_email_copilotWhy MirrorNeuron
On-edge AI workflows, without the orchestration project.
MirrorNeuron gives teams a simple runtime for durable agents that should run close to data and tools first, while staying portable enough for cloud when the workload belongs there.
See the detailsOn-edge first
Run near the work
Start locally, then keep the same workflow portable when the workload needs to scale.
Start faster
Use a blueprint first
Begin with working AI workflows instead of designing orchestration from scratch.
Stay reliable
Recover when work fails
Retries, checkpoints, sleep, and resume are built for long-running agent work.
Portable
Cloud when you want it
Use the same workflow shape on a laptop, edge node, private cluster, or cloud deployment.
Workloads people understand quickly
Use cases make durable on-edge AI concrete faster than feature lists. Start from a blueprint, prove the workflow shape, then plug in your data, tools, and policy boundaries.
Finance
Always-on risk workflows for changing markets
Turn market signals into durable analysis that watches, reacts, and surfaces decisions while conditions change.
Explore use case
Science
Research loops that keep making progress
Coordinate experiments, hypotheses, and simulations that checkpoint progress and recover without losing valuable work.
Explore use case
AI Workers
Always-on agents that react, wait, and resume
Run marketing, research, ticket, browser, and tool workflows as background workers with clear recovery points.
Explore use case
On-edge solutions
Run durable AI workflows where private data already lives.
Some workflows belong beside the data: lab systems, market feeds, private files, device telemetry, customer records, or internal tools. MirrorNeuron gives those workflows a durable runtime without making cloud orchestration the starting point.
Deployment targets, not hardware SKUs
PERSONAL AI CLUSTER
Move the same normal-code workflow to shared infrastructure when throughput or uptime needs grow.
AI WORKSTATION
Run near GPUs, lab systems, internal tools, or sensitive project folders without changing the workflow shape.
Data stays close
Run beside files, feeds, tools, and systems you already control.
Same workflow shape
Start local, then move to edge, cluster, or cloud when useful.
Runtime, not machines
MirrorNeuron is the durable execution layer, not a hardware catalog.
MirrorNeuron is the workflow runtime. The images show common places your workflows can run.
Get started with MirrorNeuron
Install the CLI, run a blueprint, and keep the path from first run to real workflow straightforward.
>_Copy and install
$ curl -fsSL https://mirrorneuron.io/install.sh | bash>_Run an example workflow
$ mn blueprint run general_message_routing_traceStep 1
Install the CLI in your own environment.
Step 2
Run a blueprint with mock inputs to see the workflow shape.
Step 3
Replace the mock inputs or adapters with your code, data, or tools.