Swamp platform turns AI agent workflows into repeatable, auditable automations
DavidLinthicum · x · 2026-08-29
Swamp is an automation platform designed to make AI processes repeatable, shareable, and auditable. It allows agents to author validated, versioned models that encode the solution to a problem, ensuring consistent execution every time. Users can chain steps into workflows triggered by webhooks or schedules. Swamp records every run—including inputs, outputs, and intermediate steps—in an immutable history. It also injects encrypted credentials at runtime so agents can access real systems without exposing keys. Built automations can be published to a shared library with access controls and audit trails. Use cases include SRE incident response, data analytics pipelines, and customer support automation.
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