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Products that do what Dino does

The AI coding partner that keeps you in control

  1. 1
    Openbase216

    Manage your team of AI agents by voice, from anywhere

    Jul 2026 · openbase.cloud

  2. 2
    GoCodeo220

    An AI coding agent extension for VSCode

    2025

  3. 3
    Helix132

    Your collaborative AI coding agent

    2025

  4. 4

    Make clones with Claude Code and Codex to do your work

    23d ago · munderdiffl.in

  5. 5

    The AI teammate for your editor

    Oct 2025

  6. 6
    DexCode94

    Your AI Agent builds the Deck & you never leave the terminal

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  7. 7
    Grov123

    Shared and synchronized AI memory + reasoning across teams

    Dec 2025

  8. 8AO

    Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…

    Jan 2026 · github.com

  9. 9
    Polygraph160

    Let AI agents see cross repo and maintain session memory.

    Jun 2026 · trypolygraph.com

  10. 10

    AI-native coding assistant that helps developers in any IDE

    Jun 2026 · polygram.dev

  11. 11

    Models matter. Context matters more. Give your agent a plan.

    Jun 2026 · deepworkplan.com

  12. 12
    Compyle122

    The AI coding agent that actually collaborates with you

    Oct 2025

  13. 13

    Memory infrastructure for AI coding agents

    Feb 2026

  14. 14

    Deploy AI Engineers Into Your Stack in Minutes

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  15. 15
    Moshi38

    the mobile interface for AI coding agents

    Jan 2026

  16. 16

    Your AI has your code's text, never its map. Fix that.

    Jun 2026 · luuuc.github.io

  17. 17GM

    Hi HN, I'm Tony. I built Grov (https://grov.dev/) because I hit a wall with current AI coding assistants: they are "single-player." The moment I kill a terminal pane or close a chat session, the high-level reasoning and architectural decisions generated during that session are lost. If a teammate touches that same code an hour later, their agent has to re-derive everything from scratch or read many documentation files for basically any feature implemented or bug fixed. I wanted to stop writing a lot of docs for everything just to give context to my agents or have to re-explain…

    Jan 2026 · github.com

  18. 18PO

    Hey HN, I'm Mo. I'm building Paseo, a multi-platform interface for running Claude Code, Codex and OpenCode. The daemon runs on any machine (your Macbook, a VPS, whatever) and clients (web, mobile, desktop, CLI) connect over WebSocket (there's a built-in E2EE relay for convenience, but you can opt-out). I started working on Paseo last September as a push-to-talk voice interface for Claude Code. I wanted to bounce ideas hands-free while going on walks, after a while I wanted to see what the agent was doing, then I wanted to text it when I couldn't talk, then I wanted to see diffs and run…

    Mar 2026 · github.com

  19. 19CA

    I built this because I was tired of creating pull requests in 20 repositories just to change a single line of workflow job version. With Infra as AI, just mention the change. Agents work on all repos in parallel, read the docs, make a bunch of PRs and fill in the description. You can see the demo of the actual dashboard in the landing. Let me know your thoughts :) It means a lot to me!

    Sep 2025 · infrastructureas.ai

  20. 20SR

    Hello all, I'm a software developer. Over the last few months more and more of my work has turned into using coding agents instead of typing the whole code myself. Usually a few claude sessions at once, sometimes codex, one per feature or per revealed bug. I ran them in a split terminal for a few weeks, and quickly spotted two main problems. The first is that I couldn't easily tell which agent was stuck waiting on me and which was still working, so I'd cycle through sessions and checking on them. The second one: agents sharing a single branch step on each other. Two of them could be editing…

    Jul 2026 · shikigami.dev

  21. 21PR

    Hey HN, I built Paseo because i kept SSHing into tmux from my phone to check on agents while on walks, it worked but the UX was rough. I started building a voice-only app for agents but after dogfooding and iterating for months I ended up with this. Both Anthropic and OpenAI are working on versions of this but I didn't like them and I didn't want to be locked into their respective models. Paseo takes a different approach: a daemon runs on your machine and you connect to it from any device. your code never leaves your machine. - Works with Claude Code, Codex, and OpenCode, just launches their…

    Mar 2026 · github.com

  22. 22
    Herd7

    Run a herd of AI coding agents from one window

    May 2026

  23. 23IB

    Hey HN. I built an AI agent harness over the past few months and I'm open sourcing it today. Some context on why. I've been building with Claude Code daily using this harness. It orchestrates multiple AI agents as a team, with a dashboard, chat, kanban board, the works. I used it to build a full SaaS product (MyUpMonitor, https://myupmonitor.com) in about 24 hours of focused coding. Then yesterday Anthropic announced Mythos and decided to keep it behind closed doors. Meanwhile I'm paying for Claude and I can't access their best model. I don't think that is nice at all... So I'm…

    Apr 2026 · github.com

  24. 24PA

    Hey HN, I'm Mo. I've been building Paseo, an open source environment for running Claude Code, Codex, and OpenCode across desktop, mobile, web, and CLI. It started last September as a push-to-talk voice interface for Claude Code. I wanted to talk to an agent while going on walks. Then I wanted to see what it was doing. Then text it when I couldn't talk. Then review diffs, run multiple agents, and manage work across machines. After a lot of iteration, it turned into a broader environment. The basic model is: - A daemon runs on your machine (MacBook, desktop, VPS, etc.). - Clients connect to it…

    Mar 2026 · github.com

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