linkedin_ssi_booster samjd-zz · COMPLETED
An adaptive continually learning hybrid RAG Agent for content, curation, and persona growth. It combines spaCy-based NLP, a persona graph, BM25 retrieval, a truth gate, confidence scoring, and local memory to generate, curate, rank, and route posts with more control than a basic AI writer workflow.
github.com/samjd-zz/linkedin_ssi_booster · ★ 13 · Forks 2 · Size 194.3 MB
SUMMARY
Technologies 16
Scored 16
Observed 16
Practices 6
Evidence 17
Skips 0
COVERAGE
Analyzed 302 files · 895 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
8 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
86 files · PRODUCTION
YAML LANGUAGE Depth 70
5 files · PRODUCTION
SQL LANGUAGE Depth 70
3 files · PRODUCTION
Python LANGUAGE Depth 70
141 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Elasticsearch DATABASE Depth 61
1 files · CONFIGURATION
Flask FRAMEWORK Depth 54
1 files · PRODUCTION
NumPy LIBRARY Depth 78
7 files · PRODUCTION, TEST
PostgreSQL DATABASE Depth 65
2 files · CONFIGURATION
Requests LIBRARY Depth 78
8 files · PRODUCTION, TEST
SQLAlchemy LIBRARY Depth 78
9 files · PRODUCTION, TEST
TypeScript LANGUAGE Depth 70
3 files · PRODUCTION, TEST
pytest TESTING Depth 74
36 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-03-14
Last commit 2026-09-28
Active months 7
Commits 895