What makes it different is the focus on agent-facing interaction, not just tool calling. It is less about giving an AI more commands, and more about designing software so an AI can work with clearer state, clearer targets, and clearer next actions.
What makes it different is the focus on agent-facing interaction, not just tool calling. It is less about giving an AI more commands, and more about designing software so an AI can work with clearer state, clearer targets, and clearer next actions.
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Maker
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I started AgentOrientedTUI from a simple question: if AI agents are becoming real users of software, should we still design everything around interfaces made only for humans?
Most current agent workflows still depend heavily on transcripts, logs, and reconstructed state. I wanted to explore a different direction: software that can expose the current world more directly through views, references, and state-aware actions.
This launch is an early step in that direction. I’d love feedback from people building agent products, developer tools, or AI-native workflows. In particular, I’m curious whether this framing feels useful beyond coding agents and into other kinds of software.
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Fascinating take. Has this been tested with specific agent frameworks like LangGraph?
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Maker
@daniel_rachlin Thanks. I’ve built an experimental framework around the AOTUI concept and used it to develop a few simple agent-oriented apps for agents to use. I haven’t tested it with LangGraph yet, since my current agents are built on a different setup, but I’d be very interested in exploring that direction.
Fascinating take. Has this been tested with specific agent frameworks like LangGraph?
@daniel_rachlin Thanks. I’ve built an experimental framework around the AOTUI concept and used it to develop a few simple agent-oriented apps for agents to use. I haven’t tested it with LangGraph yet, since my current agents are built on a different setup, but I’d be very interested in exploring that direction.