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Codex and Claude Code can participate in the same workflow, but their native hooks are not, by themselves, a documented way for one product to wake the other product’s interactive session. A hook runs logic at an agent lifecycle point; a notification alerts a person; a real agent-to-agent handoff needs a mechanism that starts or messages the receiving process and passes it usable context.
That distinction matters because the available product documentation describes the ingredients, not a verified Codex-to-Claude wake-up configuration. The practical workflow is to use hooks for deterministic local automation, then add an explicit invocation or messaging layer if the recipient must act without a human.
What “collaborate” means in a two-agent workflow
A handoff is more than one agent finishing and another eventually seeing the result. For the second agent to do useful work, something must detect an event, deliver a bounded task and relevant context, and ensure the receiving process is available or started. A useful mental model is:
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Keep those stages distinct. A lifecycle hook can run a script; a script can alert a person, write a task to shared storage, or invoke another process. Only the latter kinds of actions can deliver work to a second agent, and the details depend on the orchestration you configure. Anthropic describes Claude Code hooks as deterministic logic at points in the agent lifecycle, while OpenAI documents lifecycle hooks for Codex plugins. Neither source establishes that a native hook automatically wakes the other product’s interactive session.
Can a hook wake another coding agent?
Not on the evidence in the product documentation. Anthropic’s FAQ describes hooks as shell scripts triggered by events, including when Claude is waiting for input. It gives a Notification hook that pings the desktop when Claude needs input as a common starting point. That is an alert for a person, not proof that Codex received a prompt or that a Claude Code session was launched.
Anthropic’s documented hook examples include SessionStart for loading context, PreToolUse for logging, PostToolUse for actions such as formatting after edits, PermissionRequest for routing permission requests, Stop for checks or nudges, and PostCompact for re-injecting instructions. These are lifecycle points at which configured logic can run; they are not a durable cross-process message queue. See Anthropic’s Claude Code power-user tips and its Claude Code FAQ.
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What Codex and Claude Code provide natively
Claude Code hooks and scheduled work
Claude Code hooks let users attach deterministic logic to lifecycle events. For recurring local work, Anthropic documents /loop as scheduling locally for up to three days at a time. Its guidance distinguishes that from /schedule Cloud Jobs, which run in the cloud and continue when the laptop is closed. These are different execution modes; neither description establishes that another local agent session is automatically awakened. Details are in Anthropic’s power-user tips.
Codex plugin hooks, CLI agents, and Cloud
Codex can load lifecycle hooks from plugins as well as user, project, and managed configuration. The hook scripts must exist in the environment where Codex executes; installing a plugin on the web does not deploy its scripts into that environment. Plugin-bundled hooks are not automatically trusted: Codex skips them until the user reviews and trusts the current definition. OpenAI documents these constraints in Package your plugin.
OpenAI separately describes multi-agent tools in the Codex CLI that let agents open, read, or fork other tasks. Codex Cloud tasks run on OpenAI-managed computers and can continue while your computer is asleep. Those capabilities are not interchangeable: CLI task coordination is distinct from Cloud execution, and neither should be described as a cross-vendor hook that wakes Claude Code. Cloud access and plan eligibility vary, so check the current workspace access before relying on it. See OpenAI’s Codex plan guidance.
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How to choose a handoff pattern
| Need | Appropriate mechanism | What to verify |
|---|---|---|
| A person should know an agent needs input | A notification hook, such as Claude Code’s documented desktop alert | That the alert reaches the intended person; it does not deliver a task to another agent. |
| Run deterministic work at an agent lifecycle point | A local hook script | Which event triggers it, where the script runs, what permissions it has, and how failures are surfaced. |
| Have a second agent receive and act on a task | An explicit process invocation or messaging/orchestration layer | How the recipient is started or reached, what context is passed, and what happens when it is unavailable. |
| Continue work when the local computer is closed | A documented cloud task mode, where available | Workspace and plan eligibility, plus the execution environment and persistence behavior. |
A shared plugin can provide a common set of resources without becoming a messaging channel. OpenAI documents an OpenAI Developers plugin for Codex and Claude Code; its Claude Code adaptation includes portable developer skills and the public OpenAI Docs MCP server, but not the Codex-specific Platform connector. The documentation presents access to OpenAI developer resources, not general session-to-session messaging or wake-up. See OpenAI Developers plugin.
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What a reliable handoff must account for
Before connecting lifecycle events to another process, make the handoff explicit and inspectable. Define what event creates work, the task payload and files the recipient may use, whether the trigger can repeat, and where the receiving process reports completion or failure. Decide how to handle an absent recipient rather than assuming that a launch or message succeeded.
- Recipient unavailable: determine whether the sender should queue the task, retry, alert a person, or stop. A desktop notification is useful for human intervention, but it does not prove a recipient agent is active.
- Duplicate triggers: lifecycle events may occur more than once in a workflow. The handoff layer should make duplicate execution visible or safely avoid repeating consequential work.
- Stale or incomplete context: pass the specific task, relevant paths, and constraints rather than assuming the second agent can infer the first agent’s session history.
- Permissions and trust: review what a hook can execute and what files or systems it can access. In Codex, plugin hooks require review and trust, and their scripts need to be present in the execution environment.
These are design checks, not claims that a particular Codex–Claude workflow has been tested or is reliable. The product documentation establishes lifecycle and execution features, but does not specify cross-product delivery guarantees.
Can Codex and Claude Code share developer context?
They can use a documented shared plugin example for OpenAI developer resources: the OpenAI Developers plugin is available for both tools, with a Claude Code-specific adaptation. Its purpose, as documented, is to provide skills and access to developer documentation; it does not establish a general-purpose channel for one agent to send a task to the other.
For direct coordination, treat the shared plugin, hooks, task invocation, and background execution as separate parts of the design. A plugin supplies capabilities or context; a hook supplies an event point; an invocation or messaging layer moves the task; and a local or cloud runtime determines where the work continues.
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