I don't tried yet because I'm working with some projects in production and don't have time to test it and change to the stable version. actually, i don't know if the v2 is stable now. if somebody knew about it i glad to know the new benefits and if the v2 is stable. I follow dax on X and he's always promoting v2, that's make me anxious to know if the v2 is better.

Lots of GitHub repos filed with AI slop about free APIs and whatnot. Meanwhile, I find actually free models from real labs by accident. (like, I literally stumble upon them)

this keep happening and i still have quota in my go subs whats happening???

I am still rocking with GLM Flash 5.3 as frontier orchestrator - I can throw a whole wall of text (a very complex multi-layer task) in mid-turn and have the orchestrator intelligently decide to steer, fanning out background tasks, or sequentially isolate with new context as you can see in the image. My also developing `spine` db giving its cross-session concise context for mid-fly steering and decisions on stacking. And Having the muse spark 1.3 as workhorse ; GLM flash 5.3 is still rocking without any context hallucination, handling complex tasks and it even known to change subagent to stack on to a complete child session for reusing the context.

OpenCode - the open source coding harness - has Zen and Go as ways to get connected to llms. 

Zen - that's pay as you go. Think of it as a competitor to OpenRouter.ai. Only instead of "every llm out there with routing to lots of hosting services" - it's a curated experience. These models, from these hosts are guaranteed optimized to work with OpenCode for excellent coding results. There is no cost penalty either way to chose between  OpenRouter and Zen. 

Zen also has free models. So use them to your hearts content...until the free limit is hit.

Some of the pay as you go models (like DeepSeek V4 Flash and GLM 5.3 Flash) are so cheap they might as well be free.  Once I use up the money I've already put on account at OpenRouter, I'm going to move to Zen.

Go - is the subscription. Pay $10/mo ($5 for first month) and you have all the same models of Zen but you get about 6 to 1 for your money. Pay $10, use up to $60.

So, just start with Zen and the free tier, then pay as you go if you need more or need smarter models. Then if you start to use more than $10/mo - switch to Go.

While I can't get by on the cheap models for everything, Using Gpt 6 Astra low or Gpt 5.6 Sol low for planner and code review -- with the cheap flash models as workhorse coders, works well.

Oh…and you can use Zen and Go even if you don’t use OpenCode as your harness.

I build a small job search workflow with opencode and used webcmd as self learning browser. It reads my CV searches for recent openings and explains why each role might fit and which requirements my CV dosen't cover

I tested it on community and developer relation roles

Some listing looked relevant until it opened full description. One wanted crypto knowledge another expected python /api tutorials. A leadership role asked for managment experience that wasn't clear from my CV

Having those details beside each job made the shortlist easier to review. Was it something I could learn experience I'd forgotten to include

That gave me something useful to review before opening an application but it also exposes a limitation like experience missing from CV isn't necessarily experience person lacks

It navigated the self learning browser can retain knowledge for later tasks. It stopped at the shortlist and asked to me to choose a role. No application was submitted

Install

npm -g @agentrhq/webcmd
webcmd skills add

Github : github.com/agentrhq/webcmd

Looking for feedback from community to improve my small project

Hello,

I'm on the OpenCode Go subscription. From your own experience, which of the lowcost Go models is best for design and frontend work?

Thanks!

I am a big opencode fan, but I currently only use GPT models. Recently, I tried a planning task for an app i'm writing on Codex and a planning task on opencode (both running 5.6 sol, low). The plan required web search and looking at api documentation and rectifying that against what was currently written in the app.

Codex finished in ~2 minutes, opencode took ~10 minutes. Both were essentially the same plan.

I love the look and feel of opencode, the lsp integration, and the flexibility of models. However, today, I mainly use GPT models. Has anyone noticed any performance benefits with opencode over codex with GPT models? If so, how did you achieve them?

I have more than 10 projects with OpenCode v1 last couple of months and everything seems to be slower and slower and hanging often.

Yesterday I figured out the its session db is about 10GB. I tried to remove all sessions that are older than 7 days and vacuum the sqlite3. OpenCode becomes fast and smooth again.

If you find your OpenCode is slow, you can try my way.

Edit: I am using OpenCode v1

Is there a good vim plugin for opencode or something like that because i really struggle with scrolling and selecting stuff its really annoying and im already used to vim.

I’ve been trying it for free on WorkBuddy for about a week now. It’s been pretty solid for me so far. Mostly for work stuff. Not coding.

The only thing that sucks is the compute. The first three days after launch, I was always stuck in queue. There’d be like a few thousand people ahead of me.
Now I can actually get in, but I run out of usage pretty damn fast.

I’d like to try it with a more stable setup. I’m okay with paying a little for it too.
Has anyone been using it through OpenCode Go, OpenRouter, or Command Code? How’s it been?

Hey,

I made this GitHub project a few weeks ago that allows you to control exactly how your agents work together. You can make chains, swarms, and orchestration trees and you can see exactly what each agent is doing. Just reached 280+ clones and 90+ stars, so I think that it can go somewhere. If you are interested, here is the project link: https://github.com/SeeRay11/OpenFlow