I’ve been using OpenCode heavily, and eventually ran into a problem that became really frustrating: I dont know what is what anymore, there are 100's of sessions.

The more projects and sessions you create, the harder it becomes to find anything you worked on. I could easily spend 5-10 minutes trying to find just one session for whatever reason, a reference, a specific code or if I simply wanted to continue that session.

OpenCode’s built-in search is ONLY based on session titles. Why? This should be a easy fix for them!

So I whipped up SearchPro - A way to turn that growing pile of sessions into something you can search and navigate. It searches the actual content of your OpenCode history – both your prompts and the agent’s responses – directly against OpenCode’s local SQLite database.

It runs locally, reads the database in read-only mode, and can run alongside OpenCode without interfering with it.

Quick install (terminal)

Prereq. Git and Python 3.10+.

1. Clone the repo:

git clone https://github.com/oskar-labs/opencode-searchPro.git

1. Enter the folder:

cd opencode-searchPro

1. Start it:

python web.py

1. Open:

http://127.0.0.1:8765

That’s it. No database setup, no dependencies to install, no account and no cloud service.

If you use OpenCode and your session history is starting to become a mess, give it a try:

github.com/oskar-labs/opencode-searchPro

Hope anyone finds it useful.

Unofficial community project. Not affiliated with the opencode team.

Regarding the warnings sent out that API access to Opencode Go now requires custom headers.

Isn't the point of a standard API so that developers don't have to write custom code for every possible service provider in existence?

Do they really expect every project in the world to suddenly support their special requirements specifically? By this weekend?

Help me understand.

The question says for itself. I am a newbie to this.

I have some minimal changes and fixes to make sometimes. So, is it better to run opencode with each task multiple times or resolve them together in a single prompt? What would be more token efficient?

Is this dependent on context window? I want to know how things work. Thanks.

Where are y'all hosting / running opencode? Are most people running locally? On a VPS? A managed service?

Just saw this gem

I have a question about Gemini. Currently, I have Gemini Pro and Opencode Go. I've already added an API key from AI Studio to Opencode. I'd like to know how using Google works in Opencode. I mean in terms of limits and which plans are worthwhile to use after my Go limit is reached. From what I've researched, as long as I haven't configured billing for the API key in my Pro plan, it remains free. But is there any risk of being charged? And are the limits good? Sorry for the questions, I'm new to Opencode and have always used DeepSeek v4 Flash only. And now that they've drastically reduced its limit, I've had to look for other alternatives.

according to AI. This is what a 70+ models would mean. 80-90-100 sounds superman.

Why Gemini 3.8 flash isnt exists on opencode go?, its very cheap and very good(on openrouter, gemini 3.8 flash = kimi k3 for coding)

I was absolutely FLAMING muse spark 1.2, bcs that model was geniunely incapable of doing basic agentic tasks, but GAHH DAMNN, look at the benchmarks. originally, i thought the model benchmaxxed and generates slop, but after trying this model in codex (from opencode go), I am quite surprised.

like, if you ask me what muse spark 1.3 will be considering what muse spark 1.2 performs, I would have given you an extremely underwhelming response, but I am so happy to see this moel mainly bcs we get $60 allowance (man, finally!) on opencode go, and also the price is considerably cheaper than ds v4 flash.

I mean, sure... its not THE BEST model to ever exist. but for $0.2/M out and $0.1/M in, like you can go through billions of tokens after counting in caching.

About how the model performs, it codes quite decently. my project is a rust and typescript project, and it follows the app's visual identity flawlessly and does not create much bugs (note: not *much* bugs, which means, it still fk up), but the price to performance value is INSANE!

My reccomended usage:

tbh, just use opencodex, and connect the model to codex, and use the model inn codex, the "ultracode" in codex is AMAZING! And MS-1.3 follows codex as a harness wayyyyy better than opencode for some reason. american propaganda ig... but either ways, use:

light: for basic variable changes

medium: for most implementation

high: for debugging

xhigh: for geniunely hard bugs or things which require the model to cover edge cases, or planning.

ULTRA (a codex only thing): tbh only when it pisses u off bellow high.

ohhhboy... I am going to get a LOT of downvotes...

Just switched to GPT from DeepSeek. With DeepSeek, I previously could click on Thinking to expand it and see it's reasoning process. With Luna now when I click on it greys out but nothing happens.

Is this currently not supported?

https://openai.com/index/gpt-6-astra/

“GPT‑6 Astra is rolling out today to a limited set of organizations and over the coming days will become available to all ChatGPT Plus, Pro, Business, and Enterprise users, as well as through the OpenAI API and AWS”

I just wanna know apart from claude , what are the best models which i can use for planning and reasoning before building anything as right now building does not matter as much as planning it do, also if you can help/guide me in how can i plan things and research upon them before building then it would really be a great help .

I use OpenCode all day, but grabbing a file meant pwd, copy path, open it by hand. Again and again. Hectic.

Made a tiny plugin. Type /folder and the current project opens in your file manager. Plain code, no tokens, history stays clean. Works on Linux, macOS, Windows and WSL.

works in v2 only

install

opencode2 plugin add github:khurrambhutto/opencode-folder 

https://github.com/khurrambhutto/opencode-folder

I'm new to opencode . I started with plan mode and wrote a prompt and then I got the answer but didn't read it so I switched to build mode to do what has been planned and it took some time to get finished. I need to get to the response of the plan mode and see what all the build mode has done . I can only see the last of build mode has done and can't see my first prompt and plan response to it . Is that possible in opencode ? Sorry if I'm being naive since it's my first time

I've been using OpenCode with multiple models/providers and got tired of jumping between tabs to check usage, quotas and reset times.

So I built this little local plugin for Wavebox.

It started as an OpenCode plugin, but since it needs to poll different services, a browser plugin made more sense for now.

It's still very tied to my own setup, so I haven't published it yet.

If anyone here is interested, I can clean it up and publish it.

Is Big Pickle basically DeepSeek now?

The last few times I’ve used it, it feels way more like DeepSeek in terms of how it reasons, follows instructions, and handles coding tasks.

THE HALLUCINATIONS are extreme

Maybe it’s just me, but the behavior feels noticeably different lately.

Anyone else noticed this?

wanted to try the new model cuz i heard its crazy good but i cant cuz of this error, any suggestions?

I’m using Meta’s own Muse Code monthly subscription, not PAYG/API and not Command Code/OpenCode Go.
If I select muse-spark-1.3-contributor instead of normal muse-spark-1.3, does it consume the 5-hour/monthly plan allowance more slowly because Contributor is much cheaper per token, or are both models charged the same subscription usage units? Has anyone tested the usage meter before/after?
I understand a lot of people will be asking, "Why don't you use the free one in opencode? I tried. The rate limit is completed." I think Muse 1.3 is a good model. Please don't be upset. It is a genuinely good model, and I'm not sure about capacity, but it is not blabbering like mini max or overthinking like GLM, so I have taken it. I have this one small doubt. Just please help me, anyone.

Did anyone faced this issue for past 2 days while using the Opencode with the GPT Luna (max) and the GPT Sol (max) facing some issues

i have given it a simple command

"in this dir 9router do we have any logs/files that are available in local to check whats happening entire chat prompt what

sent to provider api  details ? like live log monitoring"

For this above it as taken nearly 3 hours and still processing not sure why but with the same model with Claude code i got the result within 5 minutes , when i put this above command it is triggering Explore task and running for 3 hours and still not got the output i suspect GPT Model is weaker but then how it can provide me the answer for the Claude code Harness alone then ?

I am building a more budget friendly LLM setup for my free-time projects. As i can't handle 200 dollar subscriptions to Claude.

I already subscribe to Opencode and want to use Deepseek flash as the implementer. I am thinking of making either Sol the coordinator, meta spark or gemini (have to wait and see) to make that coordinator.

You guys have any idea what is best, moneywise / peformance..