{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "ldbumble-taskuary--run-taskuary-server-with-docker",
 "repo": "ldbumble/taskuary",
 "repo_url": "https://github.com/ldbumble/taskuary",
 "repo_slug": "ldbumble-taskuary",
 "title": "Run Taskuary as a Docker web app with coding CLIs on the host",
 "page_title": "How to run Taskuary as a Docker web app with coding CLIs on the host with Taskuary",
 "summary": "Start the Taskuary web app in Docker while your coding CLIs stay on the host machine.",
 "who": "A developer or team lead who wants one always-on Taskuary instance and already has coding CLIs installed on the host.",
 "problem": "Installing Python packages on each machine is hard to keep consistent, and the web app should run the same way every time.",
 "outcome": "Taskuary runs in a container on port 7787 while the coding CLIs keep running on the host and can still receive tasks.",
 "steps": [
  "Install Docker on the host machine.",
  "Run `git clone https://github.com/ldbumble/taskuary`",
  "Run `cd taskuary`",
  "Run `docker compose up`",
  "Open http://127.0.0.1:7787 and set up the AI provider, inbound channel and coding CLI in the wizards."
 ],
 "agent_prompt": "Clone ldbumble/taskuary, run `docker compose up` in the repo folder, and report whether http://127.0.0.1:7787 responds. Verify that the coding CLIs are still installed on the host and not inside the container, as the README states.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "The README says coding CLIs and the optional WhatsApp bridge remain on the host, so a Docker-only setup will not run the agents by itself.",
 "category": "Work and operations",
 "tags": [
  "Work and operations"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.10 or newer, or the Windows Taskuary.exe download, or Docker",
  "An AI provider key or a local Ollama model",
  "At least one inbound channel such as mail, chat or tickets",
  "A coding CLI such as Claude Code, Codex or Gemini if you want agents to do the work"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/ldbumble-taskuary/run-taskuary-server-with-docker/",
 "md": "https://dedupedai.com/use-cases/ldbumble-taskuary/run-taskuary-server-with-docker/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/ldbumble-taskuary--run-taskuary-server-with-docker.json",
 "api_version": "v1"
}