354 Photos and videos
Pinned Tweet
May 28
Reachy and G1 living their best life, talking about communication…
I think I found a solution to my loneliness…
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The entire Hugging Face ecosystem is now a first-class Strands model provider.
I flipped two more repositories to use transformers and diffusers within your strands agents!
Links are in thread!
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github.com/cagataycali/stran…
Allows you to use any model in HuggingFace
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Jun 5
Ship on Friday, Ship on Saturday, Ship now.
We just made another Strands repository public.
SOTA results with simple agents.
It’s time to deploy.
Jun 5
I'm gonna deploy today, who's gonna stop me
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Cagatay Cali retweeted
May 21
open agents on @aws sagemaker ai with models from the @huggingface hub via strands
deployment, tool use, mcp integration, reasoning traces, and more in the blog post below
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Cagatay Cali retweeted
May 15
🎂 Strands turned 1 today
Use Python or TypesScript to build the next big AI thing!
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Cagatay Cali retweeted
May 14
MolmoAct2 quickly becoming the default OOTB VLA baseline. Highly recommend you give it a try!
May 14
The community didn't wait for us.
Before we even released code for fine-tuning, training, and inference, builders were already deploying MolmoAct2 in the wild. So we're shipping faster.
Today: official LeRobot integration for MolmoAct2.
Train, evaluate, and deploy with standard LeRobot datasets and workflows — bring your own task, bring your own embodiment.
→ github.com/allenai/molmoact2
Can't wait to see what you build.
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Cagatay Cali retweeted
When we open-sourced Strands Agents SDK last year, we wanted to bring builders an easier way to build and run AI agents with just a few lines of code. Since then, the Strands Python SDK has been downloaded more than 25 million times, with more developers building with it every day.
Now, TypeScript developers can enjoy the same experience, with full type safety, custom tools, and the ability to run agents in both Node.js and the browser.
Strands is an agent harness SDK that goes beyond the core agent loop. It gives developers the default tools and control layers they need to build agents that can execute code, work with files, manage their own context, and stay on task as they scale. TypeScript 1.0 ships these harness capabilities built into the SDK. Default tools for shell execution, file editing, HTTP access, and structured notes, alongside customizable hooks and plugins that give developers control at every point in the agent lifecycle.
All you need is a few lines of code to get started. We're building this in the open and contributions are welcome. Whether it's a bug fix, a new feature, or a cool example, we'd love to see what you build. Join us on GitHub and let us know what you think.
strandsagents.com/blog/stran…
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Apr 28
Android device is the best sensor array you can hand to an agent.
So I gave my Pixel to my agent.
But every adb/mcp tool out there is halfway done, shell works, sure.
But the agent can't see the screen, can't discover UI elements, can't figure out how to unlock, can't tap semantically.
No native eyes. No understanding.
So I added eyes.
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Apr 28
Zero config with DevDuck:
DEVDUCK_TOOLS="strands_adb:adb"
That's it. Your agent now has a phone.
Or with any Strands agent:
from strands_adb import adb
agent = Agent(tools=[adb])
agent("take a screenshot and tell me what app is open")
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Apr 28
pip install strands-adb
MIT. Single tool. Universal dispatch.
Docs: cagataycali.github.io/strand…
GitHub: github.com/cagataycali/stran…
Give your agent a phone. 📱
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Apr 24
In Turkish our elders always says something irritating for our meta cognitive development!
"Komşunun çocuğu X, sınavda 100 almış."
My robot is not skating dude.
I need to buy some rollerblades now!
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Cagatay Cali retweeted
Apr 23
the managed agent harness in Amazon Bedrock AgentCore. define your agent, pick a model, add tools, and run it in three API calls. no orchestration code. → go.aws/4u6iSPk
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