Context that follows the task
Use its context and conversation model as a reference for preserving inputs, decisions, and tool feedback across a multi-step workflow.
Study Codex’s open agent harness to improve your own workflows: connect tools to task context, carry state across steps, and define review boundaries. Use its runtime and integration design as a reference for work in Floatboat.
Codex is OpenAI’s coding agent and open agent harness. The public project provides the surrounding execution system: it helps an agent inspect a workspace, maintain a conversation, use tools, and carry a task through successive steps. The harness is the software around a model, rather than the model weights.
For a Floatboat user, the useful question is which part of a workflow needs a stronger execution loop. Codex offers a concrete reference for connecting task context, tools, feedback, and human approval. Reusing its software is one option; applying these design principles to an existing workflow is another.
The repository uses Apache-2.0. OpenAI’s models, subscriptions, and managed services have their own access and commercial terms. Publishing the harness makes its implementation inspectable; it does not promise that every hosted Codex feature is included in a local checkout.
Understand what the project demonstrates, then decide which mechanism addresses a real gap in your own workflow.
Use its context and conversation model as a reference for preserving inputs, decisions, and tool feedback across a multi-step workflow.
Study how tool results influence the next action, then define where your workflow should continue automatically and where a person must review.
Compare CLI, SDK, and app-server responsibilities when deciding whether an existing workflow needs a bounded task or an ongoing agent session.
Use these scenarios as design references for work organized in Floatboat. Any software integration needs its own compatibility and permission checks.
Borrow the context–tool–review pattern to define how source material becomes a checked draft, with explicit evidence and a final acceptance step.
Separate investigation, implementation, verification, and approval so recurring repository work has an inspectable result at each stage.
Evaluate the documented integration surfaces when you need your application or workflow to own the business context and available actions.
Start with a task and a small testable change, whether that means better instructions, a new tool connection, or a runtime component.
Identify the missing context, tool, state transition, or approval point before choosing a runtime component.
Write down the task input, permitted tools, expected output, and human decisions for that step.
Test representative inputs and review the resulting evidence, changes, and failure behavior before expanding the workflow.
Compare independent agents through their interfaces, extension models, and approach to carrying work forward.