langgraph-advanced-examples svngoku · COMPLETED
An advanced LangGraph series exploring real-world agent workflows, dynamic tools, parallel execution, long-term memory, and human-in-the-loop designs. Includes hands-on Python notebooks for building scalable, production-ready AI agent architectures.
github.com/svngoku/langgraph-advanced-examples · ★ 0 · Forks 0 · Size 645 KB
SUMMARY
Technologies 3
Scored 3
Observed 3
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 27 files · 30 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-07-31
Last commit 2025-09-24
Active months 3
Commits 30