linkedin_ssi_booster samjd-zz · PARTIAL
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 · ★ 14 · Forks 2 · Size 193.8 MB
SUMMARY
Technologies 6
Scored 0
Observed 6
Practices 6
Evidence 17
Skips 9
COVERAGE
Analyzed 100 files · 0 commits · 137 API calls
Skips: FILE_SELECTION_LIMIT HISTORY_REFINEMENT_LIMIT
TECHNOLOGIES & DEPTH
Apache Kafka MESSAGE_BROKER Depth —
2 files · CONFIGURATION
Elasticsearch DATABASE Depth —
6 files · CONFIGURATION
MongoDB DATABASE Depth —
1 files · CONFIGURATION
PostgreSQL DATABASE Depth —
6 files · CONFIGURATION
RabbitMQ MESSAGE_BROKER Depth —
2 files · CONFIGURATION
Redis CACHE Depth —
2 files · CONFIGURATION
PRACTICES
automated_tests · observedcontainerization · observeddocumentation · observeddocumentation_source_ratio · observedmodule_test_ratio · observedtest_source_ratio · observed
ACTIVITY & OWNERSHIP
First commit 2026-03-19
Last commit 2026-09-10
Active months 5
Commits 500