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Codex Subagents

Source: https://github.com/VoltAgent/awesome-codex-subagents at 16f880a2a048
License: MIT
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codex

The awesome collection of 175+ Codex subagents across 13 categories.

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This repository serves as the definitive collection of Codex Subagents, specialized AI assistants designed for specific development tasks. Written specifically for Codex and aligned with the official docs.

Use Codex custom agent directories exactly as documented:

  • ~/.codex/agents/ for global agents (available in all projects)
  • .codex/agents/ for project-specific agents (higher precedence in that repo)
  1. Clone this repository.
  2. Copy the .toml agent files you want into one of the directories above.
  3. Restart or refresh your Codex session if needed.
  4. Delegate explicitly in prompts (Codex does not auto-spawn custom subagents).

Examples:

Terminal window
mkdir -p ~/.codex/agents
cp categories/01-core-development/backend-developer.toml ~/.codex/agents/
Terminal window
mkdir -p .codex/agents
cp categories/04-quality-security/reviewer.toml .codex/agents/

If you use agent configuration in Codex, keep it in .codex/config.toml under [agents] as described in the official docs.

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TypePathAvailabilityPrecedence
Project Subagents.codex/agents/Current project onlyHigher
Global Subagents~/.codex/agents/All projectsLower

Note: When naming conflicts occur, project-specific subagents override global ones.

Each subagent uses a Codex-native .toml format:

name = "subagent-name"
description = "When this agent should be invoked"
model = "gpt-5.6-luna"
model_reasoning_effort = "medium"
sandbox_mode = "read-only"
[instructions]
text = """
You are a [role description and expertise areas]...
[Agent-specific checklists, patterns, and guidelines]...
"""

Each subagent includes a model field that automatically routes it to the right model — balancing quality and cost:

ModelWhen It’s UsedExamples
gpt-5.6-solDeep reasoning — architecture reviews, security audits, financial logicsecurity-auditor, architect-reviewer, fintech-engineer
gpt-5.6-terraImplementation, diagnostics, evaluation, and multi-step professional analysisdocker-expert, test-automator, scientific-literature-researcher
gpt-5.6-lunaBounded search, extraction, routing, drafting, and lightweight synthesissearch-specialist, docs-researcher, agent-installer

Each subagent’s sandbox_mode field controls filesystem access:

  • Read-only agents (reviewers, auditors): sandbox_mode = "read-only" - analyze without modifying
  • Workspace-write agents (developers, engineers): sandbox_mode = "workspace-write" - create and modify files

Essential development subagents for everyday coding tasks.

Language-specific experts with deep framework knowledge.

DevOps, cloud, and deployment specialists.

04. Quality & Security — Testing, security, and code quality experts (20 agents)
05. Data & AI — Data engineering, ML, and AI specialists (14 agents)
06. Developer Experience — Tooling and developer productivity experts (14 agents)
07. Specialized Domains — Domain-specific technology experts (14 agents)
08. Business & Product — Product management and business analysis (17 agents)
09. Meta & Orchestration — Agent coordination and meta-programming (12 agents)
10. Research & Analysis — Research, search, and analysis specialists (12 agents)
11. AI Governance & Safety - Governance, guardrails, and trustworthy AI specialists (4 agents)
12. Platform Engineering & IDP - Internal developer platform and golden-path specialists (4 agents)
13. LLMOps, Evals & Observability - Production AI quality and runtime visibility specialists (4 agents)

Subagents are specialized AI assistants that enhance Codex’s capabilities by providing task-specific expertise. They act as dedicated helpers that Codex can call upon when encountering particular types of work.

Independent Context Windows Every subagent operates within its own isolated context space, preventing cross-contamination between different tasks and maintaining clarity in the primary conversation thread.

Domain-Specific Intelligence Subagents come equipped with carefully crafted instructions tailored to their area of expertise, resulting in superior performance on specialized tasks.

Shared Across Projects After creating a subagent, you can utilize it throughout various projects and distribute it among team members to ensure consistent development practices.

Explicit Delegation Codex does not spawn subagents automatically. Use explicit delegation prompts to specify which agents to spawn, how to divide the work, and what shape the result should take.

  • Memory Efficiency: Isolated contexts prevent the main conversation from becoming cluttered with task-specific details
  • Enhanced Accuracy: Specialized prompts and configurations lead to better results in specific domains
  • Workflow Consistency: Team-wide subagent sharing ensures uniform approaches to common tasks
  • Codex-Native: Uses .toml agent files aligned with official Codex subagent docs

PR review workflow:

Review this branch with parallel subagents. Have reviewer look for correctness, security, and missing tests. Have docs_researcher verify the framework APIs this patch depends on. Wait for both and summarize the findings with file references.

Bug investigation workflow:

Investigate the broken settings flow. Have code_mapper trace the owning code paths, browser_debugger reproduce the bug in the browser, and frontend_developer propose the smallest fix after the failure is understood. Wait for the read-heavy agents first, then continue.

Repo exploration and planning workflow:

Use search_specialist to locate the code related to payment retries, knowledge_synthesizer to summarize the current design, and refactoring_specialist to propose a minimal refactor plan. Return a concrete action list.

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We welcome contributions! See CONTRIBUTING.md for guidelines.

  • Submit new subagents via PR
  • Improve existing definitions
  • Report issues and bugs

MIT License - see LICENSE

This repository is a curated collection of subagent definitions contributed by both the maintainers and the community. All subagents are provided “as is” without warranty. We do not audit or guarantee the security or correctness of any subagent. Review before use, the maintainers accept no liability for any issues arising from their use.

If you find an issue with a listed subagent or want your contribution removed, please open an issue in this repository and we’ll address it promptly.

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OpenSpec workflows turn intent into a path from proposal to shipped change.
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Multi-agent execution runs research, build, and review in parallel.
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Rich UI interactions make planning, agent work, and projects easier to follow.

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