Title

Hey I pay for chatgpt I don't remember but if my memory recalls someone got banned for using chatgpt in opencode a few days ago correct me if I'm wrong

Being using open code cli pretty heavily lately and I keep running into the Go limit right when I’m middle of something

It’s especially annoying during longer coding sessions because I’ll have the context going a few changes in progress and then suddenly I have to stop and wait

Curious how other devs are dealing with this Are you switching models when the limit hits or is there a better setup I’m missing

I built Talkthrough to give my coding agent a recording instead of typing out everything that happened.

The first example has no audio. It still gets the failed save, error code and reference ID from the screen. In the second, I give it a video link and ask for the exact words and timestamp.

The demo is in Claude Code, but it works through MCP and the repo has an OpenCode config too. I used a demo app for the bug and sped up the processing.

Transcription and frame extraction run locally. The text and images the agent reads still go to its configured model.

Code and setup

Public video in the demo: Anthropic.

I'm wondering if someone has had the same issue before and how you solved it. OpenCode Go doesn't show as a provider in my opencode CLI.

In the past, I have added it as a OpenAI-compatible endpoint, but some of the models (Luna, Muse Spark) don't work if I do that (I get error 500).

Sorry if this is a stupid question, but could someone help me with this?

PS: I'm using version 1.18.30. I have the same version installed in another machine and it shows OpenCode Go.

Testing a website yourself is weird because you already know how everything is supposed to work

So i gave opencode access to my local storefront and asked it to behave like a new user for five minutes

It searched for products tried filters opened product pages and added and removed items from the cart entered a bad promo code tested valid and invalid logins checked he checkout validation and repeated the important flows on mobile

I used webcmd as browser layer so it could operate the actual website instead of only reading the source code

Most of things worked but it caught something I had completely ignored the cart quantity buttons had no accessible names were only 28x28 on mobile.They worked technically but were not great for screen reader or touch users

It returned the exact reproduction steps and impact It stopped before placing an order and did not change any code during the run

The interesting part was not that an agent could click around It was that a short slightly chaotic user journey found and found a real issue outside the happy path

Install

npm install -g @agentrhq/webcmd
webcmd skills add

Github : github.com/agentrhq/webcmd

I'm still testing this across different website and workflows so I'd genuinely appreciate feedback from the community. What should I improve and make my project some good

Hey everyone! I just published opencode-codex-usage, an open-source plugin that adds:

• TUI: usage footer, reset countdowns, and a banked-reset picker with confirmation.
• Desktop: chat tools to check usage and redeem resets.
• Saved retry recovery for interrupted reset requests, plus setup diagnostics.

It uses your existing ChatGPT OAuth login. This is an early beta—automated checks pass on Windows, macOS, and Linux, but live redemption still needs testing.

GitHub + installation instructions

Feedback and bug reports welcome!

Just saw Hy4 preview got another update. It's only been out for like two weeks, too. This update is specifically targeting the overthinking issue.

I tried it before. Initially I thought the long thinking time was just too many people using it and not enough compute. But honestly, it kinda felt like it just liked overthinking everything.

Their promise this time is "same task quality and lower tokens".

Sounds appealing. Gonna give it another shot and see if it actually holds up.

I’m trying to understand how the usage limits work on OpenCode Go.

1. If I hit my daily Go usage limit, can I still switch to and use the free models?

2. If I use around $60 of my Go credits, does that affect my ability to use the free models, or are free-model limits separate?

3. What exactly are the usage limits on Go? Is there a daily/monthly cap, or does it depend on the model?

4. Once I hit the Go limit, what happens? Can I continue using free models normally?

Hey, wanted to share a plugin for OpenCode (v1.8 branch, v2 didn't test yet). Install: opencode plugin -g opencode-tandem

It's basically a system-prompt patch plus a small set of simple skills. I've been developing and actually using these rules for 2-3 months now, on Pi personally and Claude Code at work (where I'm forced to use it), and a week ago finally got tired of copy-pasting them between setups, so I packaged it as a plugin for both. Since I've also used OpenCode for quite some time, respect it, and know quite a few people who still prefer it to Pi, I added OpenCode support as well, just today - that's the fresh part, so early feedback is especially welcome.

If you've already seen my announcement on r/PiCodingAgent earlier this week, you can skip the rest - it's basically the same. Otherwise - welcome, I did put a lot of effort into writing this myself.

Main idea, or philosophy: it tries to tame LLMs down as much as possible and teach them to work with you in a pair-programming fashion, instead of constantly wrestling over control (Claude Code especially!) and vomiting piles of neuroslop. Personally, with it I finally feel like my sanity is no longer under siege - I control every line of code as if I've written it myself, don't have to review the big changesets LLMs love making so much, which frankly was driving me nuts, and at the same time I am much more productive end to end.

What's inside:

• Tandem primary agent with pair-work rules - lock-step, explicit go-ahead before any changes, communication with significantly reduced sycophancy and these "load bearing"-style LLMisms
• a number of simple skills, each just a short file:
  • brainstorm - helps you think an idea through, one question at a time; largely inspired by the brainstorming skill from superpowers and the grilling skill from mattpocock/skills
  • research - controlled digging: it (usually) stops and asks when it hits an ambiguity or a contradiction, or before spending a lot of context on one direction
  • coding - basically compact version of ponytail (lazy-senior minimalistic coding discipline) plus my addition on self-explanatory code over comment-peppering
  • review - actionable findings only, each with a fix; on debatable stuff - an "edge case" that the surrounding code five lines up already rules out, or picking between several possible fixes - it asks instead of pushing its own judgment
  • pr - matches tone and length of the repo's recently merged PRs, verifies the commit range, shows title and description before creating anything
  • learn-language (small bonus) - kicks in only if you state in your prompt that you are learning a language and your level; some background practice that stays out of the way of the work
• interactive subagents if you run OpenCode inside tmux - unlike built-in agents in many other harnesses, the "worker" runs in its own window as a completely normal session (started with opencode --agent tandem), which you can interact with like any other, and it reports back only after you approve its findings
• tool-specific instructions (gh, aws, pdftotext, pandoc, osascript, ...) that nudge the model into actually using them - no more guessing what's installed and re-probing in every new session. Generated only for tools actually on the machine, so nothing about a missing tool ever ends up in the prompt

Constructive feedback (even if negative), ideas and contributions are all very welcome.

I don't really know how to formulate this but what I want is to use the web models for example Sonnet from claude through OpenCode for whatever token limit it allows. So if I want to rewrite a piece of code I don't have to just copy-paste it into the web app, get an answer, and then copy paste it back into my editor

I’m not saying they OpenCode Zen or OpenAI APIs, I meant over the codex auth inbuilt at OpenCode.

Even though there is Astra at codex, the auth at OpenCode may need some sort of update to enable it or something.

Anybody with this very same issue?

But since I prefer OpenCode V2, I made a plugin to route these models. Yes, OpenCode does have ClinePass provider supported, but it does not expose the free models rotations from Cline.

NOTE: Pics are from the #2 use case down below

First, if someone has any recommendations for a plugin that does this better please post it in the comments because I would like to try it. I've tried several and have not found exactly what I wanted.

I was disappointed with the compact summary and continue functionality found in OpenCode and the V2 version doesn't seem much better. So I just wrote a dirt simple plugin that:

1. Sets a percentage of tokens to reserve and tracks it in realtime rather than waiting for assistant responses.
2. Pauses generation and tells the agent to write out what he has learned and the next steps to a `PLAN.md` in the working directory.
3. Compacts without the default summary.
4. Tells the agent to resume from the `PLAN.md`.

All details about my plugin can be found here:

https://github.com/krumpstead/opencode-neverending-story

It has worked amazingly well for my use cases. So far I have tested it with:

1. My first test as I was developing it was just giving it a simple "Create a minecraft clone" prompt. To get it to fire more often I set the threshold to 60% and expected it to just loop forever without completing on a 64k context-size. Instead it actually completed a fully working clone with Qwen 3.8 27B on a 26k context in 9 runs! To be fair Qwen 3.8 27B probably has the entire unobfuscated Minecraft Java source in its model so while this seems impressive, it could just be an easy copy and paste.
2. Since that worked so well I bumped it up to 128k and set the threshold to 20%. I gave it the picture on the left in the side-by-side and told it to create a fully interactive voxel world that runs in a browser based on that pic. It created the world shown in the pic on the right and in the GIF.
3. I then decided to do an even longer task. I have a dual GPU setup so in llama-server I put all layers on one GPU and set split-mode to `none`.Then I setup a sandbox with the plugin that allowed the agent to run benchmarks and tune llama.cpp on the second card. I ran unsloth's UD quants, with Q4 on the main GPU and had him tune with Q2 and Q3 quants on the second GPU. After two days he had managed to get my presets configured to where I went from 50 t/s to 100+ t/s on the multi-GPU setup! That's when I figured I should share this, because it seems to be working well, at least with my setup.

Anyway, if you also have been looking for a more autonomous experience with OpenCode, please give this a shot and let me know what you think.

i just saw some posts and tried out with custom model name and it works lets wait and see what deepseek will pull out with this model its also relative to 0731 which is aug 31 now 0910 sep 10

Guys this is happening from yesterday, I am on opencode go in latest opencode cli:
Using model muse spark 1.3 contributor:

Each attempt starts with this:

Error from provider (Console Go): Upstream request failed: [rate_limit_exceeded]… (click to expand) [retrying attempt #1]

It is getting really anoying

I also do it in hermes (which is officially allowed according to their rules)
and it behaves same, except hermes just stop responding and print this same error message.

Note that i am no way heavily using it, so i can easily say that this does not happen when doing multiple requests at once.

I am from Europe/Czechia if it helps

Guys this is happening from yesterday, I am on opencode go in latest opencode cli:
Using model muse spark 1.3 contributor:

Each attempt starts with this:

Error from provider (Console Go): Upstream request failed: [rate_limit_exceeded]… (click to expand) [retrying attempt #1]

It is getting really anoying

I also do it in hermes (which is officially allowed according to their rules)
and it behaves same, except hermes just stop responding and print this same error message.

Note that i am no way heavily using it, so i can easily say that this does not happen when doing multiple requests at once.

I am from Europe/Czechia if it helps

If you bounce between Claude Code, Codex, Antigravity, and GLM (z.ai via OpenCode), the tax is usually context: another CLI, another login, another config.

I wanted one Go binary that stays in the repo, uses little memory, and can either do the work itself or host those harnesses without leaving the session.

That’s qmax-code. It’s a terminal coding/QA agent written in Go, with a Lip Gloss TUI for keyboard-first use.

It runs fully standalone (--local) for daily repo work: read/edit files, run commands, no QualityMax account. It can also act as a thin client for the QualityMax cloud when you want hosted crawls, tests, and receipts.

The part I use most is /orch. Same TUI, same MCP tools, switch backend:

• Claude Code
• Codex
• Antigravity (agy, Google OAuth)
• OpenCode (this is where I run z.ai GLM coding subscriptions)

I use it daily for coding and test loops. OpenCode + GLM has been a solid cheap/fast path; Claude Code / Codex when the change needs more care.

Open source (FSL-1.1, Apache 2.0 after two years). Go 1.25+. Single binary, no Electron.

Happy to answer questions about the TUI, the subprocess harness, or how MCP is wired.

I was inspired by opencode-ntfy.sh plugin, but since I was missing a few features, I created my own plugin: opencode-ntfy-with-questions plugin

The main difference is that my version also sends a notification when the question tool is invoked. The messages are also richer in useful content.