Alternatives
Products that do what Build agents directly in your notes and tables does
I'm building a workspace for doing focus work while also managing constant multi-tasking and context-switching that's required in a lot of roles. Currently this is done by using a notes system where we can split-screen AI chat, an object-based data table system for tracking entities, as well as viewing other documents. We can define agents directly from documents by giving instructions in plain language and then defining the trigger conditions. This helps automate workflows directly in the place where we're reading and writing content. I'm continuing to experiment with instructions and…
- 1
Draft, restructure & tighten wording from panel inside Word
Jun 2026 · x.ai
- 2
- 3
- 4
- 5
- 6
I think agent-first chat interfaces will be a primary software modality and busy dashboard/UI will go away. I’m not sure who exactly wins it, but I want my knowledge to grow/go with me. A lot of the “knowledge” ie research, analysis, reasoning will be done by agents as the primary user. Our current notes tools & tasks management systems were built for humans… I don’t care what the 17th thing on my bug backlog is. I want to conduct agents that can execute for me and do great work. What I built OzBrain to do: + Create a central place for agent reasoned knowledge to live + Be agnostic…
15d ago · ozbrain.com
- 7
- 8AD
I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…
May 2026 · github.com
- 9
- 10
- 11
- 12
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team
5d ago · gem-manatee-cd0.notion.site
- 13
- 14IM
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
- 15EA
We've just unveiled our brand new service, Elaborate AI, and it's a game-changer for anyone who has to create presentations. With this innovative tool, you can turn your simple outlines or even topics into professional slides and speaker notes with ease. Here are just a few examples of who could benefit from using Elaborate AI: - Team leaders: Generate slides for your weekly progress reports with ease. - Project managers or researchers: Present your insights and research on a topic in a polished and professional manner. - Educators: Create educational materials from your content quickly and…
2023
- 16WC
A friend and I built this as a side project to help us collaborate on files with our agents. Claude / Codex kept outputting .md and .html files which are great until we needed to share them, so we built this small website to help with that. Agent can either use an HTTP + Skill or an MCP which also uses MCP Apps to add widgets to Claude Desktop / Mobile chat. Would love any feedback and hopefully this helps someone else as it did us!
Jun 2026 · workplane.co
- 17
- 18
- 19CA
Hey HN, Most AI “agents” I’ve tried are basically chatbots with amnesia — they forget everything the moment you close the tab and can’t do anything unless you’re sitting there watching them. I wanted real AI coworkers that just… work. So I built Computer Agents (aiOS). Every agent you create gets its own isolated computer in the cloud — complete with persistent memory, a real file system, code execution environment (with automatic dependency management), and the ability to run scheduled or webhook-triggered tasks 24/7. You give it a goal (“research this market and email me a report…
Mar 2026 · computer-agents.com
- 20AE
I’ve spent the past 10 years working on AI in finance, with much of that time focused on building evaluation systems for production environments. As agents become more widely adopted, more software engineering and product people have start building them. But I’ve noticed that many teams are not yet fluent in systematic evaluation, or in the processes needed to keep agent quality high over time. For large organizations, that gap is rarely the bottleneck due to dedicated teams. But after speaking with a number of startups, it became clear that building strong, up-to-date evals is much harder…
May 2026 · github.com
- 21HG
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…
2025 · youtube.com
- 22AG
I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it. I never found a guide that covered that full chain at the level I wanted, so I wrote one. It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook. Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai
Apr 2026 · aiaiai.guide
- 23RA
Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…
Mar 2026 · github.com
- 24MA
Hello there HN I experimented with agentic coding recently and I felt the need to track more contextual data by project. Also I felt the need to be able to go beyond the 1D chat to communicate with agents. So I created a local document memory, that is discoverable by agents themselves. The CLI is designed to be easy to pick up by agents. It allows humans to collaborate too by reading / searching / editing documents in the store. I have a Mac native GUI in the review process, I hope it will show up in the App Store soon. You can try it easily, instructions here:…
Jun 2026 · metabrain.eu
Ranked by how close each launch is in meaning, then by votes. Refine with a description →