linkedin_ssi_booster

linkedin_ssi_booster is an open-source agent that combines retrieval-augmented generation (RAG), a persona graph, and continual learning to produce or curate LinkedIn content. Its goal is to help sales professionals and power users grow their Social Selling Index by maintaining an active, on-brand presence. The tool uses spaCy for natural language processing, BM25 for retrieval, and a truth gate with confidence scoring to improve content relevance and trustworthiness. A persona graph adapts to the user's style over time, making the output more personalized. However, the project is at an early stage with no public star count, forks, or community validation. As a self-hosted Python solution, it requires technical setup and integration with LinkedIn automation, which may violate LinkedIn's terms of service if not used carefully. Automated posting can risk account restrictions. It is best suited for developers or technically savvy LinkedIn users who want to experiment with AI-driven content strategy. It is not ideal for those seeking a plug-and-play SaaS tool or who need guaranteed compliance with platform policies.