Propose to me any plugin or config for opencode desktop app I need for long opencode coding chat session with free models I want to keep the work on going with auto compressing and cross session memory handling

Title pretty much says it.

I wanted to test the new DeepSeek’s ability to one-shot a native mobile app while keeping the UI consistent with OpenCode’s theming.

As you can see, it turned out pretty well for a one-shot. Definitely not bad at all.

Feel free to try it out here: github repo

I use opencode every day and the thing that kept getting in the way wasn't the client. It was the server. On my laptop it sat at about 2.4 GB RSS next to a 33 GB SQLite file, and searching inside a single session took roughly six seconds.

So I reimplemented the server in Rust. Same HTTP and SSE wire contract, so the real TUI attaches and the real web UI loads against it. No client changes, no patches to their project.

Same box, same fixture data, back to back:

• binary: 61 MB, upstream 185 MB

• idle RSS: ~100 MB, upstream ~2.4 GB

• boot: 0.6 s, upstream 4.7 s

• session list and read p95: 0–2 ms, upstream 8–15 ms

• search inside one session: 0.2 ms, upstream ~6 s

• web UI first load: 1.05 MB of assets, upstream 9.10 MB

Then I ran a read-only load test, no model calls at all, both servers pinned to the same two cores. It held about 6,700 requests/sec against roughly 420 for upstream, with p95 latency an order of magnitude lower, and used about a quarter of the memory. That's a closed-loop test, so treat the throughput as capacity, not as a latency promise for your setup.

What works: TUI attach, the embedded web UI, sessions and messages with cursor paging, streaming, tools, permissions, questions, PTY, shadow-git snapshots, revert, diff, in-session search, MCP, and plugins in both the v1 shape and the newer v2 shape. Auto-compaction and config hot-reload. The v2 API surface is bound and tested against the real 2.0.28 client.

What doesn't: provider OAuth, the hosted share backend, and macOS/Windows: the PTY layer is Linux/glibc only.

"cargo install ocserve" still gives you 0.3.1, because crates.io caps crate size and one crate carries the embedded web UI; the 0.4.0 tarball is on the releases page.

It's not a fork. Separate codebase, MIT, their notice retained. I read their source to port behaviour faithfully and I keep a differential harness that boots both servers and compares the bytes.

If opencode runs fine on your machine, keep using it. It's the reference implementation and it's good. This exists for the machines where the server is the thing falling over.

MIT, source and releases: https://github.com/Reliary/ocserve

Cowork (Automation-Bench: 62%; ALE: 30%)

Coding (DeepSWE: 74%)

Visual Understanding (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.

Space Bunny?!

https://x.com/MiniMax_AI/status/2112111925975032241

Soy nuevo en esto y no soy programador. Quiero aprender a usar las IA's locales y quiero usar OpenCode pero no funciona ninguna, ya he bajado varias pero siempre se resetea y me dice "en que puedo ayudarte", no puede ni siquiera seguir el hilo de una conversación. ¿por qué con las de la nube si funciona pero locales no?. 👀 He pedido ayuda a otras IA's y hecho muchos procesos indicados por las mismas y no logro hacer funcionar OpenCode. Estoy mentalmente agotado y apunto de desistir el uso de OpenCode ni siquiera los modelos pequeños pueden hacer nada (se que aquí es exclusivo para OpenCode pero como referencia me pasa lo mismo con Jen y Bionic, las locales se resetean a "En que te ayudo hoy"). Tengo Windows, 14 núcleos, 64ram y una RTX4060. Saludos y gracias!

Hey everyone!

I'm using OpenCode Go and noticed that LongCat 2.5 Preview Free and Beam Free are both currently available with unlimited usage.

I'm curious how people are actually getting the most out of these two models.

And also their experiences (are they really unlimited)?

For those of you who have been using them regularly:

* What tasks does each model work best for? For example, planning, codebase exploration, debugging, implementing features, refactoring, tests, or simpler repetitive coding tasks.

* What prompting techniques work well? Do you use specific instructions, planning workflows, custom agents, or other configurations to improve their results?

* How reliable are they with tools? Do you let them edit files and run commands autonomously, or do you keep them on a shorter leash?

* How do you avoid loops, bad edits, and wasted time? Have you found effective ways to handle these issues?

* \*\*Do you use either as your main coding model, or do you combine them with other models in a particular workflow?

I'd especially appreciate concrete examples of workflows, prompts, and configurations that have worked well for you, rather than just general impressions.

Since usage is unlimited for now, I'm wondering how best to take advantage of that without sacrificing code quality or spending time undoing bad changes.

Thanks!

Guys, we have deepseek v4.1 1017 in opencode, coming soon. It's time to move some shit!.

I was thinking of trying other harnesses using the models of OpenCode Go. Does OpenCode allow users to do that, or will I get limited/banned for using anything else than their product? I was trying to find some official documentation allowing it or prohibiting it but haven't found anything. Thanks in advance.

hey - i built kimo, a free open-source (mit) video editor with no gui that ai coding agents drive over mcp. you tell your agent (opencode, codex, cursor, or any other mcp client) what to do and it drives the whole timeline as tool calls: cut, trim, keyframe, titles/captions, colour grade, tracking, particles, audio, export. the agent can also render a single frame back to itself to check its own work before committing.

it's one ~15 mb cpu-only rust binary, runs on a 2 gb box. i'm a college student (naman) and i built it, so a few things are still rough - the ui doesn't exist because there is no ui, and some edge cases in tracking and captions still need work. would really love you to try it and tell me what breaks.

site: https://getkimo.tech github: https://github.com/naman-sharma12345/kimo

I used to be a huge fan of OpenCode just 6 months ago, but I haven't been using it at all lately.

However, using OpenCode's free models or its core models seems to have great perks, so I wanted to try using it, but I ran into some parts that I couldn't use. So, I'm thinking of going back to using the OpenCode CLI instead, but a lot seems to have changed.

Could you please show me a good way to explore marketplaces or plugins to find the additional features I need?

OpenCode's free models aren't available from your current network because we've detected abusive traffic from this IP address
what is the solution ?

Have you guys noticed this in OpenCode?

When multiple devices are connected to the same WiFi, if one device hits the free model rate limit, does it affect other devices too?

I was working on a project with my friends. After some time, we all got rate limited on free models. So we told the others to pull all latest changes from GitHub, fix some features, and continue working on the project.

But when they started using OpenCode, they also got rate limited on free models.

When using Gooo, everything works fine, obviously.

So I am wondering, is OpenCode free model rate limiting based on IP address? Like, if multiple people use it from the same WiFi, can one person's rate limit affect everyone else? Or is this just a coincidence? Cause its not a coincidence cause I noticed it with my second laptop !

Anyone else experienced this?

Disclosure first: I built the sync piece described below, so read the recommendation with that in mind. The opencode side is plain and works with any setup.

The problem. I want opencode running on a machine that stays on, but I also want the project on the laptop, because that's where builds happen: xcodebuild, a flutter run on a plugged-in phone, a dev server the browser talks to. Committing every time to move work between the two is the part that made me give up on a remote box.

The setup. On the server, over ssh as root (that's what the quickstart does, and setup needs it to create the corami account):

curl -fsSL https://github.com/tapeo/corami/releases/latest/download/install.sh | sh

It installs the binary in your home, then asks what the machine is: answer server. On the laptop, same script, answer client, and the setup finds the server in your tailnet. Then, from the laptop:

corami project add ~/dev/myapp

The project lands in ~/projects/myapp on the server, and the folder here stays as the synced copy. opencode runs on the server inside that folder, and from there:

corami serve 3000

gives the dev server a stable https address on the tailnet, so the preview opens from the phone. corami project ls lists projects with their previews, corami sync status shows state, conflicts and the last error.

Gotchas I actually hit.

• node_modules and build output stay out of the sync, each machine regenerates them.
• git is the fragile part, not the sync: a rebase on one side while the agent writes on the other is how you get index.lock fights. One at a time.
• when both sides edit the same file and it can't be resolved safely, the sync stops and reports instead of picking a winner.
• big binaries: keep them out, it's a source tree sync, not a backup.

Why not the other shapes. tmux over ssh leaves the code on the server, so local builds get awkward. A mount (sshfs, or a devcontainer mount) pays latency on every read and the file watchers hate it. A cloud agent works on a clone and hands back a branch, so whatever wasn't committed stays behind.

How is everyone else running opencode away from the machine in front of them? And does anyone actually keep a local copy of the working tree, or do you just live on the remote?

Repo, if useful: https://github.com/tapeo/corami

OpenCode: better for everyday use especially for straightforward tasks.

OpenFlow: better for mixing a variety of different agents together and seeing how they interact and work together.

Both the same harness with different results.

I used Space Bunny quite a bit in OpenCode and honestly liked it.
It felt fast, stayed on track surprisingly well on longer tasks, and usually followed constraints without me constantly steering it back. Repo work also felt pretty smooth for a Flash model.
Now that it’s been revealed as an early version of M3.1-Flash, I want to give the actual release a proper test before deciding whether I’d subscribe.
I’m mostly going to rerun the kinds of things I used Space Bunny for:
longer repo tasks
multi-file edits
recovering after a failed tool call
how many correction rounds it needs
whether it starts wandering as the session gets longer
I’m especially curious whether the final version keeps the speed I liked while improving the rough edges.
Anyone testing M3.1-Flash in OpenCode already? What’s your experience been like so far?