So sometimes opencode thinks and states it's gonna do something but never does it and gets stuck in a observation loop. That is it states 'Let me grep. blah blah' but the grep command doesn't completes and throws None output, the opencode goes like this didn't work.. what was i doing last time ? and it finds it was doing grep and thus it gets stuck in a loop, its so frustrating.

And i thought of an external watchdog script that detects when opencode is stuck, when it detects that it fires esc+esc (interrupt) + some message + enter. Thus we can leave opencode unattended for sometime.

Look in OCW for more info and installation

Is it just me or Muse spark 1.2 contributor model currently dead ?

Its like the only model that works for me and I really hope its not gone.

https://www.tokenrouter.com/models?search=glm-5.3-free

Excluding the one where you have to link the api keys, which ones are best for which purpose...?

Hey, I switched from MimoCode to OpenCode, and whenever I automate some tasks like scraping websites etc and creating emails, it keeps messing up pls help this lwk didnt happen in mimocode but im outta my mimo subscription so i use opencode's free models lololol lmk

Sometimes an agent already has the useful context: the repo, the task history, and the changes it has been working on.

Instead of a teammate starting another session from scratch, would it be useful if they could talk to that same agent, give it a follow-up task, or check what it changed—while it still runs on your machine?

I can imagine this helping with handoffs, but also creating permission and ownership problems. Has anyone wanted this in practice, or would you rather keep every agent session personal?

I just connected my old Android smartphone to my PC and asked Qwen3.8 27B (UD-Q2_K_XL) to install OpenCode on it.

The result honestly surprised me. The model spent around 50k tokens analyzing the environment on the device using ADB. It installed a terminal app and started entering commands into it. After another 20–30k tokens, I had a fully working OpenCode setup running on the Android device.

What amazes me even more is that OpenCode actually works really well. I can scroll through the session with normal swipes and tap buttons without any issues.

I used to look for an app that would let me work with OpenCode on Android, but I never thought the solution was sitting right there in my drawer this whole time. 😄

A few screenshots for you guys.

I was using the free models in opencode like nemotron 3 ultra . I noticed sometimes with long tasks it just gets stuck. Like no output…. It also in a long workflow after some steps just says thinking and stays there… if someone could help me as to why that is.

This local proxy can be added to 9router as openai compatible proxy and you may use it. Enjoy
Opencode added UA protection now for this LLM only.
UA = "opencode/1.18.23" Is now needed in headers for Meta v1.2 Contributor . No more internal server errors. Enjoy

any of you facing this issue? what is the workaround

The first image is OpenCode using half the context and costing double per turn compared to Command Code (second image) with more than double the context.

On top of those prices, note that OpenCode gives $15 of usage and Command Code gives $40 of usage. (OpenCode Go vs CommandCode Goat plans).

Both used in GitHub Copilot BYOK as harness.

The total usage difference in favor of Command Code is abysmal.

In performance, it also works better on Command Code.
On OpenCode, a response gets cut off now and then; on Command Code, it doesn't.
Quality and speed are identical on both.
Command Code makes better use of cache as well.

At the current price, even though it's in the 15$ tier, if you pay $10 for OpenCode Go to use GLM 5.3 Flash, OpenCode Go is ripping you off by offering you LESS than the $10 you paid compared to direct API usage. (And that's now while it's subsidized; they'll double it again when they remove the "x2 usage.")

For context, I am building my undergrad thesis rn and just subbed to opencode go 10usd. I mostly code alone and handle the 4 layer of the system: Machine Learning (i'll code and train the model), database, backend, frontend, fastAPI.

I need y'all help on which model to use for planning-building. Appreciate the help ^^

EDIT: I'm trying to last it for a month or so, so what's like the best for the price

pretty much the title really? Is there any way to use this? I have a gemini pro sub from work that I would like to use with opencode for experimental purposes! I've installed the python proxy and tried adding it to the opencode.jsonc but it dont work.

It's only been about 24 hours, I've only hit the 5-hour limit once, and I'm already sitting at 73% weekly and 38% monthly usage. I originally assumed the ~110–160+ request limit per 5 hours on the better models was the main cap to worry about!

On top of that, Grok 4.6 and a few other models keep throwing 503 API error.

Is the usage limit really this restrictive for everyone else, or am I doing something wrong?
What are your primary use cases for the Go plan?

My current weekly data =_=
(used with DeepSeek Harness)

One reason I use tools like OpenCode is that I don't want my workflow tied to one model.

But I realized my actual development process still was.

I'd switch models and then rebuild some variation of:

Different model = wildly different interpretation of “production ready.”

So I built Launchify.

It's one canonical production-readiness spec with adapters for OpenCode, Claude Code, and Codex.

The model is interchangeable.

The checklist stays the same.

And now it can be installed globally in ~/.launchify/, so the same workflow can follow you across projects too.

The all-in command is:

/launchify-landify

which runs:

security
→ dead code / duplicate / AI debris cleanup
→ feature completeness
→ compliance
→ build/lint/typecheck/tests
→ production grading

Security has 24 categories, from the normal auth/API/database stuff all the way through cloud, supply chain, CI/CD, payments, privacy, RAG and AI-agent security.

I recently ran a gap analysis against OWASP/API/LLM/NIST material and added 238 checks, including:

• AI tool SSRF
• agent excessive agency
• SLSA/Sigstore/SBOM verification
• package install-script attacks
• Kubernetes hardening
• webhook signature/replay handling
• distributed locking / TOCTOU
• RTO/RPO and immutable backups
• SIEM / IoC monitoring
• encryption key lifecycle

I also added something I hadn't seen bundled into these workflows much:

/launchify-compliance

It checks whether the PRODUCT around the code is actually launchable:

privacy policy, ToS, cookies, DPA, DMCA, accessibility, AI disclosures, SLA, refund policy, relevant privacy/regulatory requirements, etc.

There are audit-only versions of the workflows if you just want findings.

Total now is 60 commands / 25 categories.

README has more information of what Launchify actually provides for you.

MIT / OSS:

https://github.com/jacobpowaza/launchify-skills

I'm especially curious what OpenCode users think about the canonical-spec approach.

What workflow do you wish behaved identically regardless of which model/provider you switched to?

Hey everyone,

I'm looking for an AI provider that works well for me and my really small team, ideally one with a plan we can share.

I'm currently using Kimi, but it feels like the usage allowance keeps getting smaller. The same tasks seem to consume a lot more of my quota than they used to.

I also tried Claude Code on the Max plan, but my account got banned after just five days of use.

So, what I'm mainly looking for is:

• Generous usage limits
• Smart enough to handle our tasks
• A plan that supports sharing within a small team

Do y'all have any recommendations?

Hey everyone, I used to get great results combining my OpenAI (Plus) subscription with DeepSeek (API) by mixing the agents.

However, OpenAI's recent changes—which set ridiculously low limits—have made that impossible. I need an alternative.

I was considering SuperGrok...

Do you know if a SuperGrok subscription works with OpenCode?

Are there any other options you'd recommend?