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Claude Code OpenAI Codex

One control room.
Two native runtimes.

Cogpit does not flatten Claude Code and Codex into a lowest-common-denominator chat box. It gives both providers a consistent operator experience while preserving the controls each runtime does best.

Interactive

Switch providers. Keep your bearings.

Choose a provider below to inspect the native control surface Cogpit connects to.

provider control bus
Anthropic Agent SDK

Claude Code

Live
transportSDK connected
modelRuntime selected
reasoningCapability driven
speedFast available
Shared instruments
Live steeringUsage and limitsMCP controlsSession restoreBranchingNetwork access

Native live sessions

Stream turns, tools, reasoning, and agent activity directly from Claude's runtime.

Provider-native

Goals and structured tasks

Follow native goal progress, task owners, dependencies, elapsed time, and completion state.

Provider-native

File checkpoints

Rewind files to a Claude checkpoint, with deterministic edit reversal as a fallback.

Provider-native

Agent controls

Inspect background agents, open their sessions, and stop active tasks from the dashboard.

Provider-native
One interface. Native controls underneath. Capabilities detected live

A shared operator language

The interface stays familiar even when the provider underneath changes.

01

Start and resume

Create new work or return to sessions already on disk.

02

Stream the full turn

Reasoning, assistant text, tool calls, results, edits, and sub-agent activity.

03

Steer and interrupt

Add direction to active work or stop the current turn without killing the session.

04

Approve safely

Review provider-native command, file, network, and tool requests in context.

05

Tune per session

Use the models, reasoning levels, speed tiers, and permission modes the runtime advertises.

06

Restore context

Reopen history with its timeline, usage, file changes, and agent relationships intact.

Claude-native

Claude Code instruments

Cogpit connects through the Claude Agent SDK for active work and reads Claude's session history for durable restoration.

  • Live model, reasoning effort, Fast mode, permissions, and MCP updates.
  • Native goals, structured task ownership, dependencies, and evaluator feedback.
  • Checkpoint-based file rewind and background-agent task controls.
  • Account plan and usage windows surfaced alongside session token data.
Codex-native

OpenAI Codex instruments

Cogpit uses Codex's persistent app server for threads, turns, steering, approvals, and capability discovery.

  • Installed-runtime model discovery with supported reasoning, image, personality, and speed controls.
  • Native turn steering, interruption, nested approvals, and visible model fallback reporting.
  • Long-running goals with optional token budgets and explicit lifecycle controls.
  • Reusable workflows, skills, slash commands, worktrees, and sub-agent timelines.
Future-proof by design

The UI follows capabilities, not hard-coded model names.

Cogpit asks your installed CLI what it supports. Controls appear only when the selected model and account advertise them, so new reasoning levels, image support, and speed tiers can arrive without turning the interface into a compatibility minefield.

Get Cogpit