Tool profile
code-yeongyu/lazycodex
github.com
An agent harness that adds project memory, planning, execution and verified completion to Codex for complex codebases.
What it does
code-yeongyu/lazycodex
LazyCodex is an agent harness for complex codebases that brings project memory, planning, execution and verified completion into Codex. It is aimed at developers using AI coding agents who want structured, autonomous workflows such as planning loops and work sessions. It is offered as a TypeScript project installed via npx or the Codex plugin marketplace.
Tags
Categories
A concise summary has not been added yet.
FAQ
Frequently asked questions
- What is code-yeongyu/lazycodex?
- LazyCodex is an agent harness for complex codebases that brings project memory, planning, execution and verified completion into Codex. It is aimed at developers using AI coding agents who want structured, autonomous workflows such as planning loops and work sessions. It is offered as a TypeScript project installed via npx or the Codex plugin marketplace.
- How much does code-yeongyu/lazycodex cost?
- code-yeongyu/lazycodex uses a Open source pricing model. Check the official website for current plans.
- What is code-yeongyu/lazycodex used for?
- code-yeongyu/lazycodex is listed on TolsAI under: Open Source.
- Where can I use code-yeongyu/lazycodex?
- code-yeongyu/lazycodex is available on its official website, github.com.
Explore
More in Open Source
An open-source agentic harness for a self-improving AI agent that plans and executes tasks you describe.
A vectorless, reasoning-based RAG engine that indexes documents as trees and retrieves with LLM reasoning.
A PyTorch-like Python library to build and auto-optimize LLM workflows such as chatbots, RAG and agents.
A modular web UI for generating images, video and audio with AI models like Stable Diffusion, Flux and Wan.
A step-by-step guide to designing AI systems built on LLMs, RAG, and AI agents.
Open-source AI pipeline engine for building, debugging and deploying LLM workflows and agent orchestration from your IDE.
Discussion
Discussion
Log in to join the discussion
No comments yet. Start the discussion.