anhtnm1andClaude Opus 5 6d3217e0b5 docs(refactor): add the Team Duy completion report for R01/R03/R04
docs/refactor/BaoCao_TeamDuy_R01_R03_R04.md records what was delivered against
each of the 16 tasks, the measured evidence (243 tests, 218 of them in 1.22s;
check_imports PASS; no production file over 400 LOC), the three real defects
found while working - the routing_application() deadlock, the swallowed
"notice" event, and the suite silently testing a different checkout - plus the
six open decisions and, explicitly, what was NOT tested (no manual app launch,
no real provider traffic, tools/check_*.py not run).

Refactoring_Checklist.md now links to it from the progress block.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-21 10:58:36 +09:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00

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/.

S
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Cowork Local — internal AI cowork platform and shared foundation for FSG AI capabilities.
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