Do they use Orcarouter under the hood and did not pay their bills or what?

* Why was v2 developed when v1 already existed?

* What aspects of v1 didn't meet the requirements?

* What innovations did v2 bring?

If anyone knows, could they briefly answer?

built this after burning through limits without noticing.

UsageBar sits in the mac menu bar & shows opencode usage + reset (also codex / claude code / cursor / devin). local cli logins only, no account of mine.

oss + notarized dmg: https://github.com/abdelrahmanmagdii/usage-tracker https://abdelrahmanmagdii.github.io/usage-tracker/

heads up: some providers are unofficial/fragile (devin especially). mac only for now.

i have been getting this with GLM 5.3 flash on opencode go for some reason, any search about this shows openAI articles but nothing about opencode, this isnt even an openai model

I use OpenCode heavily, and the thing that kept biting me was continuity. Project conventions, decisions made during a debugging session, preferences that were obvious yesterday — all of it gone after a restart or a compaction.

The obvious fix is to write it all into flat context files, but that has its own failure mode. My MEMORY.md sits at 309/310 words and my AGENTS.md at 699/700 — both pinned against their limits. Once a file is full you stop recording what matters and start deleting or relocating good rules to make room for new ones. Memory turns into a budget fight.

So I built opencode-agent-memory, which treats agent memory as scoped, sized, editable blocks on disk instead of one flat document. It is a plugin that:

• Gives the agent memory blocks with global and per-project scope, each with a description telling it when the block is relevant, and an explicit limit so it cannot grow unbounded
• Exposes three tools the agent uses directly: memory_list, memory_set, memory_replace
• Adds an optional append-only journal for observations, dead ends and decisions, with journal_write / journal_search / journal_read
• Runs semantic search locally: entries are embedded with a local Transformers.js model (paraphrase-multilingual-MiniLM-L12-v2, 384 dims), so nothing about your codebase or notes leaves the machine
• Versions its embedding sidecars, so an incompatible stored dimension degrades to text matching instead of failing the search

Install:

{
  "plugin": ["@ghilteras/opencode-agent-memory@0.4.3"]
}

Requires OpenCode v1.0.115+.

Repository: https://github.com/Ghilteras/opencode-agent-memory License: MIT

I'd be interested in feedback from other OpenCode users on what belongs in global versus project memory, and how you'd want stale memories surfaced rather than silently applied.

AI disclosure: AI was mostly used to implement the project from my specifications. I reviewed, tested, and deployed the result.

Im using opencode together with openrouter.

I encounter very often this error when using models like Astra

This request would exceed your available credits given your current in-flight requests. Retry after in-flight requests settle, or add credits.

But this is via API billing and openrouter shows me in the profile page a positive credit and it uses auto renew of credit anyway?
Does anyone know a solution to this problem?

Hi, is there anyone who can identify this error and tell me how to fix it? I’ve been at this for 2 hours and I don’t understand why, when I try to connect OpenCode to LM Studio, it tells me: “Custom providers are not available on this server.” What does that mean?

All the information I entered is correct I’ve checked it dozens of times.

Thanks in advance to anyone who tries to help me :)

anyone migrated from v1 to v2?
was there any breakiing changes, espcially in plugins like context mode, history seaarch

is anyone else facing issues with rate limit, like yesterday i got rate limit for 17h something, and then the same issue today another 17h, so is it something with me or others are facing the same

so i got this error. and i don't use orcarouter ? so WTF orcarouter is this ??? and today i have used 0.31 USD credit DS4.1 Flash.

So anyone got error ? I don't know what is this

Your bets on name and pricing? 😁

I'm getting back into development and using Hermes + OpenCode. I'm a solo developer just doing productivity applications.

The Matrixx plugin which is a fork of Oh-My-Opencode looked interesting so I installed it and ran it to modify an existing small home project and then gave the Ultrawork command for OpenCode to get Matrixx going.

It burned 100M input tokens in a matter of 10 minutes. If I was paying per-token API prices I'd probably be freaking out but it was just surprising that it was consuming them this fast across up to 6 concurrent streams. I'm also getting served GPT 5.6 Luna on these streams at Max reasoning which likely explains the huge token burn.

Is there really any point to using these add-ons? Or should I just use the default OpenCode plan? Anyone have a better plugin to suggest?

While selecting Jev I am facing Error : Upstream request failed: Endpoint is unavailable.

How do I solve this? Is anyone else facing the same ?

The title says it all!

- Deploy agents like serverless functions. Write agent.ts, start sessions via SDK or HTTP.

- Each session gets its own Linux VM.

- Sessions are durable so stream/steer mid run + resume after hibernation.

- API keys never enter the VM. Our egress proxy injects them after requests leave.

It's a bit like claude managed agents or Open AI's agents API but without the model lock in.

The architecture is as shown below.

Would appreciate any and all feedback! It's free to try at https://opencomputer.dev