AgentRun is an open-source platform for running agents built with harnesses such as Claude Code, Codex, OpenCode, and pi. It adds persistent execution, a shared control plane, and a learning system intended to reduce repeated work, token use, and cost. After a run, an agent can propose notes, skills, or workflows for future runs. AgentRun checks proposals against rules and has them graded before saving accepted items in a Git-backed learning folder; users can inspect, retire, or restore them. The README illustrates possible savings with demo figures: a task falling from 10 seconds and $0.05 to 2 seconds and $0.0077.
The platform also supports typed workflows that combine tool calls, model steps, confidence-based decisions, branches, parallel work, and escalation to an agent when a case is unclear. Runs and steps are stored durably, so work can resume after a server restart; completed steps are not repeated, and interrupted writes are marked for review. A console tracks runs, costs, failures, approvals, and questions requiring human input. Tool permissions and spending caps let operators constrain agent activity, while runs can use sandboxes, browsers, desktops, or Android devices. Setup requires Node 24.22.3 or newer: a single command starts the server and runner, after which users add a model key and can launch a ready-made due-diligence agent. The project is Apache-2.0 licensed.
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