Feature Request: High-Quality Sub-Agent Collaboration Built into Codex

What feature would you like to see?

Background
https://github.com/code-yeongyu/oh-my-opencode
The open-source plugin oh-my-opencode demonstrates a strong multi-agent collaboration model for coding assistants. Instead of relying on a single monolithic agent, it orchestrates multiple specialized sub-agents (e.g., frontend, backend, testing, architecture/review) that can work in parallel and coordinate through a central controller.

The key user-facing advantage is near-zero configuration: users can trigger a powerful “team mode” experience without manually wiring toolchains, choosing roles, or managing orchestration. The system behaves more like a small software team than a single assistant—task decomposition, delegation, and synthesis happen automatically.

Proposal

Integrate an internal sub-agent collaboration framework into OpenAI Codex so Codex can natively:

Decompose complex tasks into structured sub-tasks (planning → implementation → validation → documentation).

Delegate sub-tasks to specialized sub-agents (role-based or capability-based).

Run sub-agents in parallel where safe and useful (e.g., docs lookup + code drafting + tests).

Coordinate execution via a controller agent that:

manages dependencies between sub-tasks,

deduplicates effort,

resolves conflicts,

merges outputs into a coherent final delivery.

Automatically manage priority and scheduling, including:

concurrency limits (per agent type / per tool),

resource allocation based on task urgency and complexity,

retries and backoff policies for flaky tool calls.

Provide predictable completion behavior:

clear “done” criteria (tests passing, compilation success, lint clean, etc.),

explicit handoffs between sub-agents,

controller ensures no sub-task silently drops.

This should be native to Codex (not a third-party plugin requirement) so the experience is consistent across environments and workflows.

Why This Helps
1) Better throughput on complex work

Many real coding tasks are naturally parallel: reading docs, exploring a codebase, drafting code, writing tests, and reviewing architecture. Sub-agents can do these simultaneously, reducing wall-clock time and improving coverage.

2) Lower user burden (true “it just works”)

Users shouldn’t need to learn orchestration patterns, role prompts, or plugin configuration. Codex should automatically choose when to spawn sub-agents and how to coordinate them—especially for multi-file refactors, full-stack features, and debugging.

3) A more natural “tooling” experience

Instead of the user micromanaging which tool/agent to use, Codex can treat tools as internal capabilities routed through the right sub-agent. The user describes intent; Codex handles execution strategy.

4) More robust results in long-context, multi-step tasks

Sub-agents reduce cognitive overload per agent and improve reliability:

One agent can specialize in maintaining architectural consistency.

Another focuses on correctness and tests.

Another handles documentation and integration details.
A controller can enforce quality gates and completion criteria, reducing “partially done” outputs.

Example Workflows
A) Full-stack feature implementation

User: “Add real-time chat to my React + FastAPI app.”

Codex automatically:

Frontend agent: React UI + socket integration

Backend agent: FastAPI websocket endpoints + auth/permissions

Testing agent: unit/integration tests + websocket test harness

Review/Architect agent: structure, security checks, scalability notes
Controller merges PR-ready changes, ensures tests/lint pass, produces a concise implementation summary.

B) Third-party API integration

User: “Integrate Service X’s API and add a cron job to sync data.”

Codex automatically:

Docs/Research agent: reads API docs, auth flow, rate limits, pagination

Backend agent: implements client, retries, error handling

Ops/DevEx agent: adds cron/scheduler config, environment variables, runbooks
Controller validates end-to-end behavior and produces a deployment checklist.

C) Debugging a production issue

User: “Find why we’re getting intermittent 502s and fix it.”

Codex automatically:

Investigation agent: scans logs, traces, config diffs

Hypothesis agent: proposes likely root causes + targeted experiments

Fix agent: implements mitigation/patch

Verification agent: adds tests and safeguards, proposes rollout plan
Controller assembles a single coherent report + patch set.

Suggested Product Surface (Minimal but Powerful)

Auto mode (default): Codex decides when to spawn sub-agents.

Optional user controls:

“Team mode on/off”

max parallelism slider

explicit roles (“include a test agent”, “include an architect reviewer”)

Transparent trace (lightweight):

show task decomposition,

show which sub-agent handled what,

show merged outputs and checks performed.

Summary

Adding a native sub-agent collaboration mechanism would push Codex from “excellent assistant” toward “small autonomous engineering team.” The net effect is:

faster completion on complex tasks,

higher quality and correctness,

less user micromanagement,

better reliability under real-world complexity.

If you want, I can also rewrite this into a shorter GitHub Issue template version (title + checklist + acceptance criteria) so you can paste it directly into the Codex repo.

Additional information

_No response_