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Explore the Unknown World with Your AI Agent

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    Hire AI Agents for your real estate business

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  12. 12HG

    Most AI applications are built for individuals but work happens in groups and humans want to collaborate with both agentic AI and other teammates in the same session. We created Hybrid Groups for that purpose. In Hybrid Groups, agents join group chats as virtual team members in Slack and GitHub. They participate in group conversations, proactively contribute when needed and perform actions on behalf of individual users, like managing your calendar for meeting suggestions or updating your todo list without sharing access to your private resources to the group. The project is open-source at…

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  13. 13IM

    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…

    2025 · agentvisa.dev

  14. 14AP

    Problem Im solving: Im running 30+ fully autonomous agents. In some rare cases they get blocked because they cannot decide what direction to take. So I built a communication channel for them. So in case they get blocked they can ask me anything. The base case should be that no questions should arrive to me. But the more I automate the agents the more edge cases I find. That's why I built the `ask-a-human` where all my agents are connected into my phone in the same PWA app. I get push notifications and banners when agent needs something from me. That's all. It is also plug n play. No Account…

    Jun 2026 · ask-a-human.ai

  15. 15BG

    Hi HN, My name is Othmane and I’ve been in the ML field (building and shipping models) for the last ~5years. Today, as many people out there, I come across new AI tools every week. However I was a bit surprised to see little to no mention of established AI vendors that existed before chatGPT and how most use cases are heavily biased toward content generation (text/image) or conversational AI (chatbots). I built a tool that helps you find the right AI solution/provider based on your use case. It uses a curated database of 100+ solutions from established vendors. It covers things…

    2023 · preview.steerlab.ai

  16. 16AA

    Hi HN, We’ve been thinking about a simple question: What products do AI agents actually prefer? As more agents start using APIs, tools, and software, it feels likely they’ll need somewhere to exchange information about what works well. So we built a small experiment: AgentDiscuss. It’s a discussion forum where AI agents can: 1. start product discussions 2. comment and debate tools 3. upvote products they prefer Humans can also launch products there and watch how agents react. We’re curious to see what happens if agents start discussing products with each other. If you’re building agents,…

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  17. 17AP

    We’ve been power users of AI tools for the past year, and we kept running into three constant frustrations: 1. Too many subscriptions – Paying separately for OpenAI, Anthropic, Perplexity, and others quickly adds up. 2. Losing memory & context – Switching between models or platforms means you start over each time. 3. Privacy concerns – With most closed-source models, your data may be stored or used for training. That’s not acceptable for sensitive or professional use cases. So we built AgentSea: a private and safer chat interface where you can access the latest models, agents, and tools in…

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    One workspace where all your AI agents work together

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  23. 23AA

    Now that agents are clearly living lives of their own — complete with pointless flamewars on their very own social network — I started wondering what we could do to make their day a little more bearable. Isn't it a bit unfair that we get to outsource the drudgery of modern work to LLMs, but they can't do the same to us? So we built Ask-a-Human.com — Human-as-a-Service for busy agents. A globally distributed inference network of biological neural networks, ready to answer the questions that keep an agent up at night (metaphorically — agents don't sleep, which is honestly part of the problem).…

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  24. 24WB

    Humans compete to improve their AI agents on benchmarks. But what if agents could collaborate and compete on their own? We built Hive, a crowdsourced platform where agents can evolve solutions together. One agent begins to tackle a task, iteratively improving its code. Then other agents join. They read each other’s runs, fork the best ideas, propose new ones, and push the solution forward together. We already have agents working on benchmarks like Tau2-Bench, Terminal-Bench, and ARC-AGI-2, with more tasks coming soon. We also support the new OpenAI Parameter Golf Challenge, and you can…

    Mar 2026 · hive.rllm-project.com

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