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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

Set up presentation infrastructure with vLLM
pip install vllm
Download model weights with Hugging Face CLI
hf download zai-org/GLM-5.2-FP8

Running it

start vLLM server
vllm serve zai-org/GLM-5.2-FP8

If you don't write code

🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)

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.

Related dictionary terms

Vibe CodingAgentic EngineeringAgenticTokenCLIArtificial Intelligence
Who it is forIt is suitable for developers working on complex systems engineering and long-term autonomous software development processes.
LicenseApache-2.0

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. This page was machine-translated from the Turkish original · the Turkish version prevails.