What this error means

failed to connect to the docker API at unix:///run/user/1000/docker.sock; check if the path is correct and if the daemon is running: dial unix /run/user/1000/docker.sock: connect: no such file or directory is a Docker failure pattern reported for developers trying to user upgraded to docker 29.5.0 and rootless mode stopped working — docker socket file disappears, can't run any docker commands. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Found on moby/moby#52641 (open, 2026-05-17, 0 comments, kind/bug). Very recent regression in Docker Engine Community 29.5.0. Rootless Docker is widely used by developers. High urgency because docker ps / docker compose up both fail. Category: Docker (approved).

Common causes

  • Found on moby/moby#52641 (open, 2026-05-17, 0 comments, kind/bug). Very recent regression in Docker Engine Community 29.5.0. Rootless Docker is widely used by developers. High urgency because docker ps / docker compose up both fail. Category: Docker (approved).

Quick fixes

  1. Confirm the exact error signature matches failed to connect to the docker API at unix:///run/user/1000/docker.sock; check if the path is correct and if the daemon is running: dial unix /run/user/1000/docker.sock: connect: no such file or directory.
  2. Check the Docker account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.