Artificial intelligence for long-term missions
GLM-5 offers a framework that aims to move software development processes from vibe coding to structured agent-based engineering. This system standardizes software development workflows through artificial intelligence agents (AI agents) that can manage complex tasks autonomously.
Updates
- August 2, 2026: Stars 4,301 → 6,864.
What you get
- Uninterrupted long-term operation with 1 million token capacity
- Autonomous planning in complex software engineering tasks
- Balance of performance and speed with adjustable thinking effort
Installation
pip install vllmhf download zai-org/GLM-5.2-FP8Running it
vllm serve zai-org/GLM-5.2-FP8If you don't write code
You are an AI engineering assistant. Break down complex software development tasks, review your strategy at each step, and maintain consistency over long sessions. Manage depth of thinking using the 'reasoning_effort' parameter in coding tasks; Aim for the best results by choosing the 'max' setting in high complexity workflows.
Repository: https://github.com/zai-org/GLM-5. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-19: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.