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// How-to · Choose tools and avoid pitfalls

Is this open-source AI project still maintained? How to tell

AI open-source projects turn over fast: stalls, archives, renames and moves to closed source are common. A few minutes checking some signals before you choose can save you from building on a dead project.

verified 2026-10-100 official sources

Scenario: Choose tools and avoid pitfalls →

Symptoms

  • Issues go unanswered for months
  • A dependency is suddenly archived or renamed

Common causes

  • Tools were chosen by star count without checking maintenance

How to fix

  1. Check whether the repository is archived and whether the README starts with a migration notice
  2. Check the dates of the latest commit and release; be wary of no release for six months or more
  3. Check the number of committers and the issue close rate over the past year; single-maintainer projects are riskier
  4. See the “Maintained” and “Latest version” fields in our software profiles (“to be verified” means not yet checked)
  5. For stalled projects, start with the successor named in the official announcement, then compare others in the same category

Notes

  • Maintenance status in our profiles comes from research datasets and is refreshed periodically; the repository itself is authoritative

Compiled from official documentation and public discussions on 2026-10-10; not yet reproduced in our own environment. Follow the official docs if they differ.

Data updated: Problems & errors