Run agent actions that recover
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Fulfill order — policy v3acme-orders
Submitter
[email protected] engineer, integrations
Region
fra1·prod eu-central, primary
Worker
worker_b recovered from worker_a
Submitted
14:07:42 UTC 12 seconds ago, action workflow
Mode
action_workflow 4 controlled tools, recovery enabled

The receipt chain is valid up to action 03. Action 04 (db_write) is currently running. No replays were needed across the host fault.

Committed actions (4)+1−0
actions
01
read_file/uploads/policy-v3.pdf · 1.2KB digest
12msr₀₁+1 / −0
14:07:42 · live
Submit a follow-up task or ask for a re-run with different params…
·Recovery on·Receipts ed25519
tier horizon

Built for AI systems operating in the real world.

Igris sits between AI and the actions it wants to perform. When your AI needs to read a file, call an API, update a database, or trigger a workflow, Igris runs that action safely, records what happened, and gives your team proof afterward. If execution breaks mid-run, Igris resumes from the last recorded step instead of starting from zero.

AI systems should be able to operate in real environments without becoming unreliable, hard to understand, or impossible to trust. As agents begin interacting with infrastructure, APIs, files, workflows, and eventually physical systems, execution reliability becomes as important as intelligence itself.

Igris is infrastructure for AI actions. It helps AI systems execute work with recovery, operational boundaries, and verifiable execution records built in. Instead of relying on retries and scattered logs, Igris gives operators a clear view of what happened, what failed, what recovered, and how each action was executed.

Tasks run with checkpointed recovery, replay safety, runtime-aware boundaries, and execution verification. Install Igris with curl -fsSL https://igrisinertial.com/install | bash to start running agent actions with recovery and proof built in.

AI can do more when execution can be trusted.

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