# code-yeongyu/lazycodex

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3,889 stars · 252 forks · TypeScript · MIT

## Links

- GitHub: https://github.com/code-yeongyu/lazycodex
- Homepage: https://lazycodex.ai
- awesome-repositories: https://awesome-repositories.com/repository/code-yeongyu-lazycodex.md

## Topics

`ai` `ai-agents` `claude` `claude-code` `cli` `codex` `developer-tools` `lazy` `lazycodex` `oh-my-openagent` `omo` `openai` `orchestration` `typescript`

## Description

Lazycodex is a plugin package that installs an agent harness into the Codex coding assistant with a single command. It adds planning, execution, review and diagnostic workflows to existing sessions, built around a plan-execute-verify loop: a decision-complete plan is drafted before any code is written, carried out step by step with progress saved after each item, and repeated until an independent reviewer confirms with concrete evidence that the work is finished.

The harness also provides multi-agent orchestration. Specialist roles such as explorer, librarian and planner are adopted by child agents, which can run in parallel, each with its own instructions and model. Tasks are routed to models by category, so the strongest reasoning model is kept for hard work and cheaper models handle small edits, with ordered fallback chains when a preferred model is unavailable.

Beyond orchestration, it gives agents persistent project memory through hierarchical guidance files written beside the code they describe. It adds language-server diagnostics, references and renames, along with structural search and rewrite across a codebase. A library of skills and pre- and post-action lifecycle hooks can be extended, and the defaults can be overridden. Review and cleanup workflows run after implementation without changing behavior.

The plugin installs through a package-runner command with no global install, and it also supports an unattended mode and installation from a Git-hosted marketplace. Hooks require explicit approval before they run. Final configuration finishes in a background worker during the first approved session, followed by a restart prompt. A health report and a clean uninstall command are included.

## Tags

### Development Tools & Productivity

- [Codex Plugin Installation](https://awesome-repositories.com/f/development-tools-productivity/codex-plugin-installation.md) — Installs an agent harness into Codex with a single command so existing sessions gain extra workflows without manual setup. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Coding Agent Plugin Packages](https://awesome-repositories.com/f/development-tools-productivity/coding-agent-plugin-packages.md) — Packages planning, execution, review and diagnostic workflows as a plugin installed into Codex with one package-runner command.

### Artificial Intelligence & ML

- [Agent Iteration Loops](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-iteration-loops.md) — Repeats an agent task up to an iteration cap, stopping when a configurable completion phrase confirms the reviewer's verdict.
- [Agent Safety and Verified Completion](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-safety-and-verified-completion.md) — Keeps tasks running until an independent reviewer confirms completion with concrete evidence instead of accepting unverified claims of success. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Role-Based Agent Orchestration](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/integration-deployment/agent-frameworks/agent-orchestrators/role-based-agent-orchestration.md) — Defines specialist roles like explorer, librarian and planner that child agents adopt, each with its own instructions and model.
- [Parent Agent Sub-Agent Delegation](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/integration-deployment/agent-frameworks/management-and-discovery/agent-registries/programmatic-agent-spawning/parent-agent-sub-agent-delegation.md) — Defines specialist roles such as explorer, librarian and planner that child agents adopt, each with its own instructions and model. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Model Routing Categories](https://awesome-repositories.com/f/artificial-intelligence-ml/model-routing-categories.md) — Maps each task category to an ordered model chain, using strong reasoning models for hard work and cheaper ones for small edits.
- [Multi-Agent Orchestration Frameworks](https://awesome-repositories.com/f/artificial-intelligence-ml/multi-agent-orchestration-frameworks.md) — Delegates subtasks to specialist child agents such as explorer, librarian and planner, running in parallel, each with its own instructions and model.
- [Multi-Model Orchestration](https://awesome-repositories.com/f/artificial-intelligence-ml/multi-agent-orchestration/multi-model-orchestration.md) — Delegates subtasks to parallel specialist agents and routes each to a suitable model by category, saving the strongest model for hard work.
- [Native Harness Plugin Installs](https://awesome-repositories.com/f/artificial-intelligence-ml/native-harness-plugin-installs.md) — Packages extra planning, execution and review workflows as a native plugin that the Codex coding assistant loads.
- [Step-by-Step Task Plans](https://awesome-repositories.com/f/artificial-intelligence-ml/step-by-step-task-plans.md) — Breaks large codebase changes into a decision-complete multi-step plan before any code is written. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Verified Agent Task Loops](https://awesome-repositories.com/f/artificial-intelligence-ml/verified-agent-task-loops.md) — Repeating an agent task in a loop and executing a saved plan until an independent reviewer confirms with concrete evidence that the work is truly finished.
- [Guidance Generators](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-context-management/guidance-generators.md) — Generates hierarchical guidance files beside the directories that need them, giving agents local landmarks before they edit code.
- [Agent Lifecycle Hooks](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-lifecycle-hooks.md) — Runs pre- and post-action hooks around agent steps to report status, enforce checks and inject behavior.
- [Agent Skill Libraries](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-skill-libraries.md) — Ships an extensible library of reusable skills and pre- and post-action lifecycle hooks whose defaults can be overridden.
- [Agentic Project Memories](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-project-memories.md) — Writes hierarchical guidance files beside the code they describe, giving agents local landmarks and persistent project conventions before editing. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Model Fallback Chains](https://awesome-repositories.com/f/artificial-intelligence-ml/model-fallback-chains.md) — Defines ordered fallback chains per task category so the agent switches to another available model when the preferred one cannot be used. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Model Selection for Delegated Tasks](https://awesome-repositories.com/f/artificial-intelligence-ml/multi-agent-orchestration/subagent-delegation/model-selection-for-delegated-tasks.md) — Runs several agents in parallel and automatically selects a suitable model for each delegated subtask by task category. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Project Memory Retention](https://awesome-repositories.com/f/artificial-intelligence-ml/project-memory-retention.md) — Keeps persistent project memory available in assistant sessions so agents can recall accumulated knowledge about a codebase. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Saved Plan Execution](https://awesome-repositories.com/f/artificial-intelligence-ml/saved-plan-execution.md) — Carries out a saved plan, optionally in a separate worktree, until every checkbox is done, then reports that orchestration is complete. ([source](https://github.com/code-yeongyu/lazycodex#readme))

### Software Engineering & Architecture

- [Implementation Planning](https://awesome-repositories.com/f/software-engineering-architecture/strategic-planning-workflows/implementation-planning.md) — Produces a decision-complete plan file from a task request without touching product code, settling every choice before implementation. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Agentic Plan-And-Execute Workflows](https://awesome-repositories.com/f/software-engineering-architecture/strategic-planning-workflows/implementation-planning/agentic-plan-and-execute-workflows.md) — Drafts a decision-complete plan first, executes it step by step with saved progress, and loops until an independent reviewer confirms completion.
- [Agent Skill Extenders](https://awesome-repositories.com/f/software-engineering-architecture/integration-extensibility/extensibility/plugin-architectures/developer-authoring-interfaces/custom-module-implementations/module-functionality-extenders/plugin-extenders/agent-skill-extenders.md) — Ships an extensible skill library and lifecycle hooks with overridable defaults that extend agent behavior without core changes. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Codebase-Driven Plan Generators](https://awesome-repositories.com/f/software-engineering-architecture/strategic-planning-workflows/implementation-planning/codebase-driven-plan-generators.md) — Drafts a decision-complete plan of ordered steps from the codebase before any product code is written. ([source](https://github.com/code-yeongyu/lazycodex#readme))

### Part of an Awesome List

- [Semantic Code Analyzers](https://awesome-repositories.com/f/awesome-lists/devtools/code-analysis-and-linting/semantic-code-analyzers.md) — Offers language-server diagnostics, definitions, references, symbols and renames, plus structural search and rewrite across a codebase. ([source](https://github.com/code-yeongyu/lazycodex#readme))
- [Codebase Intelligence](https://awesome-repositories.com/f/awesome-lists/devtools/codebase-intelligence.md) — Gives agents hierarchical project memory files, language-server navigation and structural search and rewrite for exploring and understanding large codebases.