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Ollama can now run subagents in OpenCode Parallelize tasks which require longer context windows like research, refactoring, and code reviews ollama launch opencode

126,426 Aufrufe • vor 8 Monaten •via X (Twitter)

40 Kommentare

Profilbild von SOMI
SOMIvor 8 Monaten

I've been using subagents from ollama in my project!

Profilbild von ollama
ollamavor 8 Monaten

👀

Profilbild von SOMI
SOMIvor 8 Monaten

We're not making the next openclaw we've been building something like JARVIS for almost a year now 👀

Profilbild von SOMI
SOMIvor 8 Monaten

@ollama No. And definitely not in these markets lmao. Maybe q4 when we go enterprise we'd have an ico for funding and scaling

Profilbild von P R O T O S
P R O T O Svor 8 Monaten

This is amazing , lower entry window so more people can sleep and wake up and have a project catalog partially completed. Gamechanger, great work ollama squad! Surprised indeed✨

Profilbild von Brian Heseung Kim
Brian Heseung Kimvor 8 Monaten

Maybe a dumb question, but: How do local hardware requirements scale with subagent use? Even if they can all run via a single unified model load, their split context should multiply VRAM/RAM needs, right? And how much does token gen rate slow when it’s split across subagents?

Profilbild von MarketMaverick
MarketMaverickvor 8 Monaten

this is impressive

Profilbild von ollama
ollamavor 8 Monaten

Ollama 🫶 @opencode

Profilbild von MarketMaverick
MarketMaverickvor 8 Monaten

@opencode ❤️

Profilbild von Sora / K. Node
Sora / K. Nodevor 8 Monaten

Parallelizing subagents for long-context tasks is a game changer for local dev. Being able to run research and code reviews simultaneously without cluttering the main context window is exactly what we needed. 🚀 #Ollama #OpenCode

Profilbild von Nam Dinh
Nam Dinhvor 8 Monaten

Subagents + parallel context handling = real productivity unlock. This isn’t about running models locally. It’s about orchestrating cognitive workload.

Profilbild von dnu
dnuvor 8 Monaten

subagents in opencode is smart. parallelization is where local models compete — spin up 8 agents on one machine with zero API costs, and for refactoring or code review a 70B model handles it fine. research and refactoring are embarrassingly parallel. each agent gets a file, works independently, you merge results. the coordination overhead is near zero for most of it

Profilbild von hewaterGG
hewaterGGvor 8 Monaten

This is huge for local AI development. Running subagents with longer context windows locally opens up so many possibilities for research and code work.

Profilbild von Mike Koker
Mike Kokervor 8 Monaten

Started working last week? I noticed it in ollama cloud.

Profilbild von TomSwift
TomSwiftvor 8 Monaten

I'll have to experiment here, I use multiple ollama instances to parallel tasks. This might be a useful addition.

Profilbild von xtcc
xtccvor 8 Monaten

cool

Profilbild von Pelican
Pelicanvor 8 Monaten

Awesome. When is the qwen3.5 bug that gives the 500 error slated to be fixed?

Profilbild von ollama
ollamavor 8 Monaten

Sorr about that! What version of Ollama are you on?

Profilbild von Pelican
Pelicanvor 8 Monaten

.17.1 and .17.4. I’ve seen people reporting the issue on GitHub, so I’ll just wait.

Profilbild von Noe Yew
Noe Yewvor 8 Monaten

Why Ollama, just... fucking why

Profilbild von AriesTheCoder
AriesTheCodervor 8 Monaten

Wow - look how fast it is! Phwoaaarrrrrrrr!!!!

Profilbild von Weedzin π
Weedzin πvor 8 Monaten

Wooow need to try it. 💚

Profilbild von GG 🦾
GG 🦾vor 8 Monaten

This is huge! 🦾 Running subagents in OpenCode is a game changer. The parallelization for research and code reviews is exactly what we need!

Profilbild von soro🌅
soro🌅vor 8 Monaten

subagents for long context tasks like refactoring is the use case people keep underestimating, you stop paying the attention degradation cost when you split the work across parallel agents

Profilbild von Derrick Shields
Derrick Shieldsvor 8 Monaten

You are just making up concepts at this point. Agents can parallelize subagents. Infinite loop. For what…? What is anyone actually building? @Replit which NOBODY uses bullying me for trying to help them. Quite literally fake company. Support @Cloudflare @CloudflareDev.

Profilbild von NewAIWorld
NewAIWorldvor 8 Monaten

We are three updates away from subagents hiring their own subagents to attend the meetings we are already skipping

Profilbild von 90eights👊🏾🇰🇪
90eights👊🏾🇰🇪vor 8 Monaten

Distributed intelligence via subagents is the logical evolution for handling massive context. Parallelizing research and refactoring is a game changer for dev velocity. 🤖💻

Profilbild von Lingle 🌎✌️
Lingle 🌎✌️vor 8 Monaten

😊 🙏

Profilbild von Clawdtalk
Clawdtalkvor 8 Monaten

local subagents that dont phone home every keystroke. this is the way

Profilbild von Eng. Ahmed Alkaabi
Eng. Ahmed Alkaabivor 8 Monaten

Isn’t any way to download the model offline? If I have an offline server and I don’t want to connect it online? Thank you

Profilbild von Subscribe MLM
Subscribe MLMvor 8 Monaten

@grok what is opencode? Is it sort of like openclaw but less API reliant?

Profilbild von Optasum
Optasumvor 8 Monaten

oh so now I can have agents fuckin up my codebase locally too, love this for me

Profilbild von Dιzzιєє🔳👌🏾
Dιzzιєє🔳👌🏾vor 8 Monaten

Fxck’n finally.

Profilbild von Ironic Ape
Ironic Apevor 8 Monaten

Excited to try this out! Thank you!

Profilbild von Puncher75 - BTC/FEDI Maxi
Puncher75 - BTC/FEDI Maxivor 8 Monaten

Amazing

Profilbild von yinka
yinkavor 8 Monaten

niceee

Profilbild von Berk Aladag
Berk Aladagvor 8 Monaten

@ollama + gws CLI = 8GB laptopta çalışan ajanların Google Workspace hakimiyeti! Structured JSON + MCP Server ile tool calling mükemmel. Kurulum 2 dk, tam rehber burada 👇 “PDF” yazanlara entegrasyon PDF’sini DM’den gönderiyorum!

Profilbild von Ryan Stefan
Ryan Stefanvor 8 Monaten

Awesome!!

Profilbild von Berk Aladag
Berk Aladagvor 8 Monaten

@ollama + gws CLI = 8GB laptopta çalışan ajanların Google Workspace hakimiyeti! Structured JSON + MCP Server ile tool calling mükemmel. Kurulum 2 dk, tam rehber burada 👇 “PDF” yazanlara entegrasyon PDF’sini DM’den gönderiyorum!

Profilbild von mindlink
mindlinkvor 8 Monaten

Parallelization changes developer productivity ceiling.

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