I'm building a "work visa" API for AI agents
Hey HN, I’m Chris, a solo dev in Melbourne AU. For the past month I've been spending my after work hours building AgentVisa. I'm both excited (and admittedly nervous) to be sharing it with you all today. I've been spending a lot of time thinking about the future of AI agents and the more I experimented, the more I realized I was building on a fragile foundation. How do we build trust into these systems? How do we know what our agents are doing, and who gave them permission? My long-term vision is to give developers an "Agent Atlas" - a clear map of their agentic workforce, showing where…
I'm building a "work visa" API for AI agents launched on August 19, 2025 with 6 votes and more than 75% of that year's launches.
What it does
In the maker’s words, at launch
Hey HN, I’m Chris, a solo dev in Melbourne AU. For the past month I've been spending my after work hours building AgentVisa. I'm both excited (and admittedly nervous) to be sharing it with you all today. I've been spending a lot of time thinking about the future of AI agents and the more I experimented, the more I…
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SimplAI2025 · simplai.ai · ▲589Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…
Construct ComputerAug 2026 · construct.computer · ▲378We are building Construct Computer a cloud OS where autonomous AI agents ("Constructs") live and do your day to day work. You can observe them in real-time through a desktop OS frontend. The idea is agent-native infrastructure: instead of agents being API calls, they're persistent processes with their own compute, storage, and network identity. With integrations with a vast ecosystem of business tools, the Construct Agent can do anything from scheduling meetings, preparing documents, to deep researching the web, join meetings, and automate long running business operations with minimal human…
ClarkJul 2026 · clarkchat.com · ▲264Hey folks, I've been building Clark solo, with the aim to match Manus agent (I really like it!) in features and capabilities, but also in its relentless ability to just complete tasks while using browser, computer etc. So far I think I've achieved 1:1 core feature parity: 1) computer use agent 2) browser use in same thread 3) wide and deep research - clark calls clark 4) integration with google tools Would love to have community feedback and for you to try it out, a couple thousand people already using it daily for very broad use cases. You can use this referral link, that hopefully works…
I learned to code to launch my new startup2013 · uncover.com · ▲178Please check it out. I spent all of 2012 learning to code to launch what would eventually become Uncover. I'm super excited to announce that we're finally live. Here's a blog post I wrote on how we got there and a little story behind the startup: http://spencerfry.com/introducing-uncover

TrailsJan 2026 · trails-red.vercel.app · ▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
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