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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 次观看 • 8 个月前 •via X (Twitter)

40 条评论

SOMI 的头像
SOMI8 个月前

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

ollama 的头像
ollama8 个月前

👀

SOMI 的头像
SOMI8 个月前

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

SOMI 的头像
SOMI8 个月前

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

P R O T O S 的头像
P R O T O S8 个月前

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✨

Brian Heseung Kim 的头像
Brian Heseung Kim8 个月前

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?

MarketMaverick 的头像
MarketMaverick8 个月前

this is impressive

ollama 的头像
ollama8 个月前

Ollama 🫶 @opencode

MarketMaverick 的头像
MarketMaverick8 个月前

@opencode ❤️

Sora / K. Node 的头像
Sora / K. Node8 个月前

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

Nam Dinh 的头像
Nam Dinh8 个月前

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

dnu 的头像
dnu8 个月前

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

hewaterGG 的头像
hewaterGG8 个月前

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

Mike Koker 的头像
Mike Koker8 个月前

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

TomSwift 的头像
TomSwift8 个月前

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

xtcc 的头像
xtcc8 个月前

cool

Pelican 的头像
Pelican8 个月前

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

ollama 的头像
ollama8 个月前

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

Pelican 的头像
Pelican8 个月前

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

Noe Yew 的头像
Noe Yew8 个月前

Why Ollama, just... fucking why

AriesTheCoder 的头像
AriesTheCoder8 个月前

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

Weedzin π 的头像
Weedzin π8 个月前

Wooow need to try it. 💚

GG 🦾 的头像
GG 🦾8 个月前

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

soro🌅 的头像
soro🌅8 个月前

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

Derrick Shields 的头像
Derrick Shields8 个月前

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.

NewAIWorld 的头像
NewAIWorld8 个月前

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

90eights👊🏾🇰🇪 的头像
90eights👊🏾🇰🇪8 个月前

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

Lingle 🌎✌️ 的头像
Lingle 🌎✌️8 个月前

😊 🙏

Clawdtalk 的头像
Clawdtalk8 个月前

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

Eng. Ahmed Alkaabi 的头像
Eng. Ahmed Alkaabi8 个月前

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

Subscribe MLM 的头像
Subscribe MLM8 个月前

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

Optasum 的头像
Optasum8 个月前

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

Dιzzιєє🔳👌🏾 的头像
Dιzzιєє🔳👌🏾8 个月前

Fxck’n finally.

Ironic Ape 的头像
Ironic Ape8 个月前

Excited to try this out! Thank you!

Puncher75 - BTC/FEDI Maxi 的头像
Puncher75 - BTC/FEDI Maxi8 个月前

Amazing

yinka 的头像
yinka8 个月前

niceee

Berk Aladag 的头像
Berk Aladag8 个月前

@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!

Ryan Stefan 的头像
Ryan Stefan8 个月前

Awesome!!

Berk Aladag 的头像
Berk Aladag8 个月前

@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!

mindlink 的头像
mindlink8 个月前

Parallelization changes developer productivity ceiling.

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