Hankanman / Auto-GPT
pythonmaster5752a466.6K linessynced 1d ago
Code health
8.8out of 10Excellent
This codebase scores 8.8 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.3 and static performance risk 9.9 out of 10. The three are scored separately and never blended into one number.
- Lines of code
- 6.6K
Recent activity
All commitsCommits
No commits indexed yet.
Decisions
- Bug fix: handle missing Google API keyproposed · 1d ago
- Use Selenium for web browsingproposed · 1d ago
- Convert to python module named autogpt (adjust Docker/CI/test imports)proposed · 1d ago
- Implement Selenium-based web browsingproposed · 1d ago
- Initialize memory as empty for correct indexing and referencingproposed · 1d ago
- Delay imports in CLI to reduce startup overheadproposed · 1d ago
Needs attention
34 open- medium severity. ProposedBug fix: handle missing Google API keyAuto-proposed decision awaiting review
- medium severity. ProposedUse Selenium for web browsingAuto-proposed decision awaiting review
- medium severity. ProposedConvert to python module named autogpt (adjust Docker/CI/test imports)Auto-proposed decision awaiting review
- medium severity. ProposedImplement Selenium-based web browsingAuto-proposed decision awaiting review
- medium severity. ProposedInitialize memory as empty for correct indexing and referencingAuto-proposed decision awaiting review
Composition
Open the graphpython 79%yaml 11%markdown 4%dockerfile 2%shell 2%Other 4%
Explore this codebase
- Docs121 pages across 35 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files114 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 4 entry points
- Code healthPer-file scores, 141 open findings, coverage and refactoring targets
- Knowledge graphEntities, communities, and the paths between them
- Change couplingFiles that keep changing together, mined from commit history
- CommitsChange-risk ranked history with agent provenance
- ContributorsBus factor, per-file maintainers, and the human/agent split
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