Original Summary

Hi everyone, I'm Kumar, building Dotbot at Aaditri GlobalTech (P) Limited. I use coding agents every day, but I kept switching between a terminal, an editor, and git panes to follow what the agent was actually doing. So I built a desktop workspace where the session, your files, and your Git state live in one window. What it does - Open any folder as a project and run one session per piece of work. Sessions persist between runs and reload with their transcript. - Live transcript: streamed answers, inline thinking, and collapsible tool cards with diffs and file previews. You can steer a running turn or queue a follow-up. - Files and Git: browse the project tree, watch changes land, and stage, unstage, or commit from the Git panel. - Providers: bring your own API key (Anthropic, OpenAI, Google, and others), or add a custom provider using OpenAI Completions/Responses, Anthropic Messages, or Google Generative AI. - Project trust: the agent asks before it uses a project's local settings, extensions, or skills, and remembers the answer per project. - A dashboard with usage stats from your own session history, plus !command and !!command to run shell commands from the composer. **Status\ Apache-2.0, currently v0.2.0. The agent runtime runs in-process, so there is no separate service to install. - Code: https://github.com/aaditri-globaltech/dotbot - Downloads: https://github.com/aaditri-globaltech/dotbot/releases/latest — Linux AppImage/deb, Windows installer, macOS DMG for Apple silicon and Intel. - Builds are unsigned, so macOS and Windows show a first-launch security prompt. **Coming on 11 October 2026\ We are launching subscription-based inference on open models on the first day of Navratri (Sunday, 11 October 2026): one plan, no API keys to manage. Pricing and the model lineup will be announced that day at https://aaditriglobaltech.com . It is early, so expect rough edges. I would love feedback on what is missing before the inference launch. issues and PRs are welcome on GitHub.   submitted by   /u/Huge_Listen334 [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/25 17:41:52