Run the whole engineering mission.
Skyflo turns one objective into a persistent engineering mission across repositories, terminal, browser, and automations — with isolated specialist agents and memory you can inspect.
Skyflo
linking · 0%
Mission lifecycle
standbyinc-042 · objective
6%Recover a memory-starved compute pool
Contain the runaway worker, replace the failed node, and prove workloads reschedule safely.
Execution path
1 / 6 active
Live operation
discover‣ registered checkouts loaded
Checks
0 / 12
Actions
0 / 2
Where current agents stop
Your best agent sees a fragment. The mission crosses all of them.
Coding agents
- sees
- the repository in front of them
- blind to
- infra · pipelines · runtime
Cloud & operations
- sees
- deployed state
- blind to
- the decisions behind it
CI/CD & delivery
- sees
- pipelines · artifacts · checks
- blind to
- the intent of the change
Org knowledge
- sees
- docs · a few senior engineers
- blind to
- live system state
Skyflo connects the context, coordinates the work, and keeps one objective intact from plan through local execution.
See the complete systemA mission, not another chat
The objective stays intact from plan through local work.
See the systems the change will touch.
Skyflo reads the registered repositories and relevant personal memory before it proposes a plan.
6 systems mapped
Keep every workstream on one objective.
Focused agents work in parallel while shared interfaces, approvals, and mission state remain coordinated.
3 workstreams aligned
Review through a separate boundary.
A mutation-disabled reviewer can inspect files and report findings without editing the implementation it judges.
file.read · file.search · agent.report
Independent review report
mission local-042 · reviewer profile
Change evidence
Reviewer boundary
Independent review
An agent that writes nothing reviews the work.
The reviewer receives file.read, file.search, and agent.report only, plus read-only capability operations with mutationAllowed set to false.
Follow one mission end to endCross-mission memory
The context survives the conversation.
Accepted, source-linked personal memory can be retrieved when it is relevant to a later mission.
Explore inspectable memoryRecall
Why are checkout builds multi-arch?
The worker base image requires a compatible runtime. The accepted constraint stays linked to the mission and source that established it.
Ready for the next mission
Constraint recalled before planning begins
Start free. Bring the models you already use.
Use supported model keys or a compatible endpoint configured for the current Desktop harness. Execution stays on your linked Mac.
01What is Skyflo?+
Skyflo is a local-first AI engineering harness. A persistent mission holds one objective, its approved plan, isolated specialist work, browser and terminal activity, automations, monitors, and useful memory.
02How is Skyflo different from a coding agent?+
Coding agents are excellent workers inside a code task. Skyflo is the harness around the broader mission: it keeps the objective and plan durable, delegates bounded specialists, brings browser and terminal work together, and carries memory into later missions.
03Where does the work run?+
Skyflo Desktop runs the mission on your linked Mac using your repositories and local credentials. Model calls use the provider or compatible endpoint you configure.
04What does Skyflo remember?+
Personal, source-linked memory can be recalled by a later mission and reviewed, accepted, dismissed, or forgotten. Organization-wide shared memory is Planned and is labeled that way wherever it appears.
From the engineering log
Notes from the build.
Looking for the open-source Kubernetes agent? k8s-agent continues as a separate Apache 2.0 project.
Skyflo Desktop
Give Skyflo the complete mission.
Start with your model keys and the repositories already on your machine.
Free with your keys. Account required, no card.