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Radeen1

Very interesting! But could not pass the level 2. Is anyone able to break it?
Re: on Wednesday November 19, 2025 @08:15AM (#45979185)
Built a Rust package that connects to AI agents from any framework in just a few lines of code. Full support for streaming and non-streaming operations with both sync and async APIs. Built on Tokio with type-safe error handling, WebSocket streaming via futures::Stream, and zero-cost abstractions for production workloads.

Show HN: Why Current Agentic Frameworks Don't Work Well in Production

https://github.com/runagent-dev/runagent

So, I've been noticing a few key problems with agent integration in current setups. 1. Most software backends are built in non-Pythonic languages (Rust, Golang, Java, etc.). But agents are mostly in Python, with some having JS support max. How do we integrate them efficiently? Basically, cross-language integration; right? But how to do that without major headaches? 2. If the agent developer...

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Show HN: Build and Deploy Custom AI Agents with a Simple Prompt with GPT-5-Mini

https://github.com/runagent-dev/runagent/tree/main/examples/Vibe_Agent_Builder_gpt_5

I created a tool that lets you write a prompt like “build a research report agent in LlamaIndex” or in any framework and automatically generates and deploys the agent locally, complete with a testing page. Powered by OpenAI’s GPT-5-mini, it’s stable (98% success rate in my tests) and works with frameworks like Agno and LlamaIndex. Previous GPT models struggled with this kind of tasks, but this...

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RunAgent's entrypoint system makes it achievable to be framework agnostic.

Show HN: I built a vibe agent builder with deployment (GPT-5-mini powered)

https://github.com/runagent-dev/runagent/tree/main/examples/Vibe_Agent_Builder_gpt_5

You just write the agent you need for any agentic framework e.g. "write research writing agent in Agno/ write summarizer agent in llamaindex" and then it will create agent and automatically deploy locally the agent and give you an agent testing page. Failed with previous GPT models and claude is expensive. Insanely stable with gpt-5-mini

( Read More... | 1 comment | 2 points | on HN )

Show HN: Built an Agentic Gaming PC Builder

https://github.com/runagent-dev/runagent

I built a small project showing how to build an agentic PC builder in Golang using the Agno framework and RunAgent. The agent takes a user’s budget and performance needs, pulls real-time pricing data, and streams personalized build recommendations—live as it thinks.The cool part? You can write your AI logic in Python and consume it natively in Go with full streaming support. It is a great...

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Actually the platform RunAgent is framework agnostic. And we can also implement this with golang as well
But question is how they are standardizing it? I understand the multi framework approach, but like if anyone is a javascript developer, he doesn't know about python. How he can write that agent file. That's a question where I am confused.
Guys this is really a very unique approach. Just one thing I am confused about, as far as I understand, this is like vercel but for ai agent with multi agentic framework. Is it correct?
This is really cool concept. So it means it is a open source collaboration just like MCP but for deployment of agents of different frameworks right?