Safe-harbor infrastructure for autonomous agents
Bring your agents home safe.
Autonomous agents are starting to take consequential action on their own — unattended, at the edge, out of reach. Lightshore is the layer underneath them: it records what they did, recovers them when they break, and proves you did your diligence.
Local-firstFail-closedTamper-evidentNo cloud required
The thesis
When an agent acts alone, three questions decide everything.
Every autonomous agent that takes action unattended raises the same three questions the moment something goes wrong. Lightshore builds the primitives that answer them — each one small, deterministic, and independent of the agent it watches.
01
What did it do?
02
Can you bring it back?
03
Can you prove you were diligent?
Ship's manifest
The safe-harbor suite
Lightship
It broke in the field — bring it back to health.Deterministic on-device recovery supervisor.
In developmentKeel
Was it the certified, untampered agent?Attestation of model, policy, and code integrity.
ChartedClutch
Could you have stopped the catastrophic action?A deterministic, fail-closed brake at the action boundary.
ChartedCharter
Was it authorized to do that?A signed, machine-readable grant of authority and bounds.
ChartedUnderwriter
Can you prove diligence to a court, regulator, or insurer?Turns the record into insurability — the real safe harbor.
North star
Available now
Ballast — the record that holds up.
Records every decision, flags dangerous intents, and keeps a hash-chained, tamper-evident trail — so you can prove what happened, not just hope. No cloud. Runs anywhere Python does.
Get Ballast on GitHubOne record from the trail
"kind": "tool_call",
"decision": "BLOCK",
"reason": "rm -rf on protected path",
"prev": "a1e6...42d0",
"hash": "9ba2...7c11"