Nam Pham Dinh ThanhandClaude Opus 5
300c10711e
Giving each project row a widget left the QListWidgetItem with no text, and project_choices() read exactly that. So the rail's picker listed every project as a bare "📁 " with nothing after it, and the more projects there were the more identical blanks you got. Reported after creating a second one. Setting the text back on the item is not the fix: with a transparent row widget on top, the name paints twice, one string ghosting the other — visible in a render. project_choices() now reads list_projects(), the same source the list is built from, so the picker no longer depends on how a row happens to be drawn. check_project_screen creates a project and requires project_choices() to return non-empty names and the picker to show each of them. Pointing it back at item.text() fails it. 22/22 checkers pass. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Cowork Local
Cowork Local is the internal AI cowork desktop platform owned by the Cowork Team. It provides the Cowork runtime, workspace and agent experiences, MCP/connectors, security controls, and model routing foundation.
The Cowork Team owns this product and its stable branch. The FSG AI Core Team contributes selected reusable capabilities through branches and Pull Requests; it is not the owner or final merger of this repository.
Quick start
The imported application is a Python/PySide6 package. Run it from the directory that contains cowork_local:
python -m cowork_local
The source snapshot does not include a complete runtime dependency manifest. Use the Cowork Team's supported runtime environment until that packaging contract is documented. The reliable automated test surface currently checked by CI is:
python -m pip install -r cowork_local/requirements-test.txt
python -m pytest cowork_local/tests -q
When already inside this repository, run python -m pytest tests -q.
Configuration and runtime data live under ~/.cowork_local/. Provider keys and local unlock codes must be supplied through environment variables or an approved secret manager; see .env.example.
Contributing
Start with START_CONTRIBUTING.md, then read CONTRIBUTING.md. Core AI task execution remains in fsg-ai-core-assets; source changes are reviewed as Pull Requests in this repository.
Security concerns should follow SECURITY.md. Ownership and completion rules are documented under docs/governance/.