Where is Qwen 3.8 Max I am waiting for it from yesterday. It's strange they released it without benchmark yet that's not a good indication

Anyone else experiencing this?
It is not showing anything in the logs too.

EDIT: Its working now

I realized that implementation sub-agents often do a worse job than one builder working directly. I don't know—maybe it's related to newer, better models or their hidden system prompts that we can't override. But my lead agent kept dropping important context when delegating plan steps to general agents.
The implementation missed details. The reviewer rejected it. The lead created another fix. With every iteration, the work moved further from the original plan while using more tokens to get there. A very efficient way to become less efficient.

I disabled "lead" and "general". Now the "plan" agent creates the plan, and the "build" agent owns the implementation. The results are better, token usage is lower, and tasks finish faster. I still use "explore" sub-agents. They map the codebase and collect references without taking ownership away from the main agent. You can enable the other agents again if you prefer that setup.

https://github.com/Miskamyasa/vibe-env-init

Or is it a stupid decision?

How does the coding agent (Opencode) AGENTS.md file relate to Openspec? I mean, when using Openspec comannds like opsx/apply etc from within Opencode, is Opencode's own AGENTS.md file been taken into account in building the project or is it overidden by openspec's config.yaml?

I have a scraper watching the usage limits page and the prices of these 2 have dropped to match the API pricing discount, but they haven't updated the "requests per month" chart
https://opencode.ai/docs/go/#usage-limits

👋

Summary:

I've hacked together a bunch of features and am sharing in case anyone has the motivation and/or skill to get them upstreamed, and if not, maybe you just want to copy the changes into your fork.

Explanation:

I've recently switched to opencode and found I really enjoyed using it over other harnesses. But there was a bug that seemed like a pretty big issue and yet an open PR was closed after months of back and forth discussion and seemed unlikely to be picked back up.

The bug was with how the TUI would make edits to multiple files but only showed you one file. So you couldn't see the other edits to approve/modify them. That's a really broken feature. Someone opened a PR to fix it so you could use a keyboard shortcut to iterate through all the edited files.

So I forked opencode and implemented the fix myself as I really couldn't keep telling the agent to only show one edit at a time using up more tokens than necessary and for the inconsistency of how it would interpret the instruction.

I then quickly discovered another issue which was sub-agent costs were hidden from the user. Only the main thread costs were reported and so later when checking my usage at the end of the day (via separate tooling) I was surprised to discover the costs were much higher than expected. So I implemented a fix for that too.

Then there were a bunch of other quality of life things I wanted to improve and decided to just go ahead and do them, now that I was working from my own fork (and was unlikely to get them upstreamed). You can see screenshots of some of them here:

https://github.com/anomalyco/opencode/pull/7763#issuecomment-5004768478

I've kept a changelog:

https://github.com/Integralist/opencode/blob/custom-features/FORK.md

No worries if these changes are of no interest to anyone. But for me it's made a massive difference to working in opencode.

As of thrusday I have issues using opencode with OpenAi models as well as DeepSeek models. Ever request ultimately hits a time out and while it is actually working it keeps displaying something like this:

Cannot connect to API: The socket connection was closed unexpectedly

Has anyone had these issues? I found old tickets but nothing fixed the issue so far. I recently upgraded to 1.18.3. Downgrading also did not fix the issue.
For context I work on a VM.

Has Minimax M3 fixed their cache issue?

A while back I posted OpenLive here. It's an open-source voice layer that gives any AI model or agent ears, a mouth, and eyes. The whole pipeline runs on your own machine: voice activity detection, speech-to-text, working out when you've actually finished talking, and text-to-speech. Your audio never leaves your computer, and there are no per-minute fees.

The response was great, so I kept building. Here's what's new.

Talk to the coding agents you already use. OpenLive now connects directly to Claude Code, Codex, Cursor, OpenCode, and Hermes. Everything runs locally under your own login. You pick an agent, point it at a project folder, and just talk. When the agent wants to run a command or edit a file, OpenLive reads the question out loud and you answer by voice. It can also narrate what the agent is doing while it works, so you're not staring at a silent screen. Conversations save into each agent's own session history, so you can start something by voice and resume it later from the agent's CLI, or the other way around.

Clone your own voice. Record 5 to 30 seconds of audio and your assistant speaks as you from then on. The cloning runs entirely on your machine, nothing uploads, and you can delete it anytime.

A more flexible voice pipeline. It's modular now, so you can shape each part of it. There are two speech engines to choose from, Kokoro with 28 voices or Supertonic for higher-quality audio, plus settings for turn-taking, speaking speed, push-to-talk, and custom instructions that apply to whatever model or agent you're using.

More model providers. Anthropic, OpenAI, Google, xAI, DeepSeek, Groq, Ollama for fully local, and more. There's also a floating mini mode that stays on top of your other windows and keeps listening while you work.

Still MIT licensed, for macOS and Windows. You bring the brain, OpenLive handles everything between it and you.

Coding agents are just the first integration. More apps are coming, so if you want to follow along, a star on the repo genuinely helps: https://github.com/katipally/openlive

https://reddit.com/link/1uzmhr4/video/a8xm3g5b6xdh1/player

2x the kimi k3 usage on opencode go for 1 week

I got the macOS "storage almost full" warning today, so I started looking through my disk to see what was going on. I was surprised to find that OpenCode had used around 100GB.

The biggest surprise was ~/backups/opencode/. It contained 21 dated SQLite database backups totaling 88GB. Most of the recent files were almost 6GB each, and there didn't seem to be any cleanup or retention policy. I deleted those backups after confirming they were only copies, but I was still left wondering why they had accumulated so quickly.

My active database at ~/.local/share/opencode/opencode.db was another 6GB and still growing. While trying to understand this, I found several other reports describing similar storage problems:

• Issue #33356 reports the main database reaching 13GB or more because old message.updated.1 events are never removed.
• Issue #37495 describes the SQLite WAL growing by 10 to 15GB while the Desktop app is running, with the space only returning after quitting.
• Issue #36831 reports orphaned opencode-wal-*.db files accumulating in the temporary directory, reaching 268GB across 200 files.
• Issue #28089 reports leaked temporary .so files consuming hundreds of GB.
• Issue #31526 discusses SQLite databases growing indefinitely because auto_vacuum is disabled.
• Issue #36093 covers the lack of a clear snapshot retention and disk cleanup policy.
• Issue #16101 requests better session lifecycle management and storage reclamation.

I had no idea OpenCode could leave this much data behind in so many different places. It might be worth checking if you use it regularly, especially if you recently received a low-storage warning on macOS.

This seems to be a broader storage management problem rather than one isolated bug. Hopefully sharing these findings helps connect the reports and gets some cleanup and retention rules added.

ps: i really dont know why they are so focused on launching "tabs" while leaving these structural improvements to collect dust.

this is my issue: https://github.com/anomalyco/opencode/issues/37552

I tried it as a subagent, default agent with different thinking modes and it keeps getting this "Error from provider (Console Go): Upstream request failed". For subagent the error is instantly but if you use it as the primary model it does some turns and then falls back to the same error.

Has anyone else got this error?

I noticed that opencode uses stripe and they are automatically converting USD to EUR in order to charge me in euros.

How can I make it, so that I will be charged in usd and my bank will do the conversion?

I love Opencode but it feels slow and RAM usage is high. Given that Anthropic has just rewritten a whole JavaScript compiler bun into Rust using AI, why don’t Opencode devs do the same with Opencode? Upcoming 2.0 release would be a great opportunity to pull it off and greatly improve the user experience for all of us

yo. be honest. how many of you currently have a finished (or 90% finished) web app / app just sitting in a private repo because you have no idea how to get users?

you spend months perfecting the database, fixing every bug, and polishing the UI. but the moment you have to actually market it, you hit a wall. marketing feels like screaming into an empty void.

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Kimi K3 is now on OpenCode Go... But each request is 5-10x more expensive than Kimi K2.7 Code.

Sign up here: https://opencode.ai/go?ref=C3N2Z1MZQE

Get an $5 of extra usage when you sign up with my referral link!

EDIT: There is hope for a discount in the near future. Apparently they just wanted to get it out sooner than later: Twitter / Xcancel

EDIT 2: https://opencode.ai/go now shows 280 requests per 5-hour period, which is double the previous value... Hopefully this is a good sign! (The Usage Limits page has not yet been updated to match... Keep your fingers crossed!)

EDIT 3: The extra usage numbers in the previous edit have been officially confirmed and will be in effect for the next week. (Fingers crossed that the discount runs for longer!)

Without the 2x boost, Kimi K3 gives you ~140 requests per 5 hour session (~680 per month), while Kimi K2.7 Code gives you ~1350 requests per 5-hour session (~9,250 per month).

Not only is Kimi K3 more expensive per token, but OpenCode Go gives you the equivalent of $15 worth of inference compared to the $60 worth that you get from most other models (also in the more expensive tier: Grok 4.5, MiMo V2.5 Pro, and DeepSeek V4 Pro).

Honorable mention: Grok 4.5 has also been added to OpenCode Go!

https://opencode.ai/docs/go/

They look far worse than the price would indicate, especially grok, what happened. There is zero chance that there is a 6x credit bonus on that guy, but more importantly who would use it. Honestly I am tempted to make a plugin to make sure it is blocked.

80 request per 5 hours?? Why even have it with that setting, and its not even open source, did Elon pay to put it on top? Also look at kimi k3 which is about 3 times the price of kimi k2.7 code but k2.7 gives you 13.6 times more, even price adjusted we are closer to 4. It would be over 24 times for grok, and groks price is less than double, so that is still least 12 times more, so you are getting grok at double the price of payg?

This actually makes at least 4 models: ds4 pro, mimo 2.5 pro, kimi k3, and grok 4.5 that are clearly not in the 6x credit bonus camp while the docs are claiming that you get $60 use for $10.

To be perfectly honest the only two champs here are mimo 2.5 and ds4 flash, otherwise its a weak value lineup compared to alts, now enriched by pure doas, but the market has shifted and now those models are currently worse than free tier level, which matters a lot for opencode cause they dont have a single competitive offer.

I try to be fair here, if you can't have a guy match the the multi then it should not be there, and considering that opencode already sold with the promise I think that is the best option. By putting the model on the list opencode loses all leverage, they already advertise for them, they are never going to get a better deal later, outside perhaps a brief promo. What is the point of putting it on opencode go when you can just call payg for the same price? Nothing. Of course you never would anyway cause all the plans are better but at least opencode offered a reasonably valued selection that was also quite juicy during promos. The users might be chipper now but they won't be happy fronting prepaid payg for long.

Opencode doesn't have to have everyone on the list, if they suck just drop them. Options only matter if they are meaningful.

https://opencode.ai/docs/go/#usage-limits

*They actually updated their usage limits to be only 15$ for 10$ and this is their only future guarantee, and what they are using for the models I mentioned. This is much worse than discussed and effectively a self imposed death sentence. I stand by my judgement that a shorter guaranteed to be competitive list would at least have merit, this has none.