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Products that do what Rift does

Git worktree manager for AI agents

  1. 1GF

    hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

    May 2026 · github.com

  2. 2

    Evaluate AI workflows and reach 99% AI quality.

    Oct 2025

  3. 3

    Your AI code editor that runs multiple AI agents in parallel

    Oct 2025

  4. 4
    Clark264

    An AI coworker with its own cloud computer

    Jul 2026 · clarkchat.com

  5. 5
    WorkGPT241

    AI Agent Chatbot-based Virtual Assistant

    2023

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    Codex-powered agents for teams.

    Apr 2026 · openai.com

  7. 7BE

    I realised I was working on more parallel tasks with coding agents, but git branches became a huge bottleneck. Tried Git Butler but it just complicated things further. Found git worktrees as a solution but the git API was a bit too complicated for day to day. So thought I'll vibe-code this simple CLI utility to manage the process. It technically works with any setup – claude/codex/gemini + cursor/vim/whatever. Just manages git worktrees inside your repo and sets up your dev environment how you like it. Nothing fancy, just something I built to scratch my own itch. Figured…

    2025 · github.com

  8. 8
    Orca89

    Your control center for parallel AI agents

    Apr 2026 · onorca.dev

  9. 9AD

    I’ve been tinkering with what a “multi-agent IDE” should look like if your day-to-day workflow is mostly in terminal (Claude Code, OpenAI Codex, etc.). The more I played with it, the more it collapsed into three fundamentals: * A good TUI: Terminal is the center stage, with other stuff (CodeEdit, Diff, Review) baked on the side. I don’t like piping Agent’s output through some electron wrapper, here you get to run CC/Codex/Droid/Amp/etc directly. * Isolation: agents shouldn’t step on each other’s toes. The simplest primitive I’ve found is Git worktrees. It is not as…

    Jan 2026 · agentastic.dev

  10. 10RO

    Howdy y'all, I'm Jesse and I'm pleased to share Rift (https://www.github.com/morph-labs/rift), an open-source AI-native language server for the IDEs of the future. Software will soon be written mostly by AI SWEs working alongside humans. Codebases and the development environments around them will soon become living artifacts that can anticipate, maintain context on, and execute your every intention. Software development is rapidly evolving and key infrastructure like language servers must evolve with it to support a new generation of developer tools. As part of Rift,…

    2023 · github.com

  11. 11CA

    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

  12. 12AC
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    GitChat48

    AI agent for GitHub pull request summaries and chat

    2024

  14. 14SR

    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

  15. 15GL
  16. 16OA

    We were both genuinely impressed by Claude Code after it helped each of us fix nasty CI problems overnight. Doing those fixes manually would have taken days. After that experience, we each found ourselves struggling through Ctrl+Tab through multiple Claude Code windows in our terminals. While we enjoyed having agents working for us in parallel, context switching and cycling through each terminal tab was a real pain. So we thought: Can we design a TUI dashboard that manages a large swarm of agents in one place? Even better, can agents manage agents hierarchically, like how companies work?…

    May 2026 · omar.tech

  17. 17LO

    Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…

    Jan 2026

  18. 18RA

    Hey HN, I built SuperHQ, an app that lets you run coding agents in local sandboxes (powered by Shuru). No custom UI wrapping the agents, they run as CLI/TUI like they were designed to. It just provides you the tools most of us (okay, maybe just me?) needed for running multiple coding agents in parallel without worrying about breaking your system or work environment. Each agent runs in its own microVM. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a unified diff view to accept or discard changes. API keys never enter the sandbox, they…

    Apr 2026 · superhq.ai

  19. 19RA

    Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…

    2025 · okteto.com

  20. 20AA
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    We built an open sourced coordination layer for AI agents working on the same repository. Detects work duplication and design conflicts early

    9d ago · twing.dev

  22. 22AD
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    The Workspace for AI Agents

    Jul 2026 · astrocore-eight.vercel.app

  24. 24
    ag.sh1

    All-in-one CLI tool to do parallel AI development with ease

    Mar 2026 · github.com

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