I've been using GLM-5.2 extensively over the past few days, primarily for software engineering tasks through OpenCode and Hermes-Agent, and it has genuinely impressed me.
The biggest compliment I can give is that, during many coding sessions, it gave me a similar feeling to using Claude Opus. Not because the models are identical, but because of how reliably it understands context, follows complex instructions, and completes multi-step engineering tasks.
I also tested it through Ollama Cloud using an API key, and the experience was consistently solid across different environments.
What I appreciate most is that the team decided to open-source such a capable model. The AI community benefits enormously when high-quality foundation models are openly available, and I wanted to leave a review simply to thank and recognize the work that went into this release.
Looking forward to seeing how the project evolves.
Flowtica Scribe
Hi everyone!
Have been using ZCode since its first version late last year. With the recent 3.0 upgrade, it's taken a massive leap forward. Here are a few reasons it’s worth a try:
It’s the official harness for GLM-5.2. Yes, try the tuning that understands the true upper bound of GLM-5.2 better than anything else!
It’s built for long-horizon execution. The in-house ZCode Agent keeps your files, terminal output, browser context, and Git state stitched together in the same task loop, so it doesn't lose the thread halfway through a complex build.
It lets you step away from the desk. You can steer the agent, check progress, and kick off tasks from your phone, or directly through messaging bots while the desktop keeps running.
And it’s moving fast!
Congrats on the launch! 🚀
Long-running coding agents are where things usually get difficult, especially when the agent has to keep file state, terminal output, browser context, and Git changes aligned across one task.
Curious how ZCode handles situations where the agent gets stuck or starts making risky edits. Does it surface checkpoints or risk summaries before continuing?
Congrats on the launch, MIT licensing is a nice touch. Quick question though, are there any rate limits or token caps per day for free users right now, or is the unlimited angle going to hold once traffic picks up?
Tried the reasoning model on a coding problem and it nailed a tricky edge case I'd been stuck on for an hour. Really appreciate that the base models are MIT-licensed, makes it easy to experiment locally without worrying about restrictions.
Reasoning mode actually explains its thinking out loud, which helped me catch where it went off track. Nice to see solid open weights like this finally have a clean free playground to test in.
Tried the reasoning model on a tricky coding question and it walked through the logic clearly instead of just spitting out an answer. The bare-bones UI is kind of refreshing honestly.
Curious how the rumination model handles long context sessions compared to the base version?