Mossbed Core
Local-first knowledge substrate for structured Markdown indexing and enrichment
active
AI-Enhanced
private
Mossbed Core is the backend engine of the Mossbed system — a local-first knowledge base that stores atomic Markdown files enriched with structured YAML frontmatter. It exposes a gRPC API for indexing, full-text search, referential integrity, and AI agent enrichment.
It powers tools like mossbed-desktop, enabling modular capture, querying, and structured recall workflows for teams and solo operators who need local control with AI-enhanced insights.
Its core philosophy: don’t rewrite the notes — structure the chaos and make it computable.
Git Access
Private Repository
$ git clone [access restricted]
Data Pipeline
$ grep -r "import mossbed-core" ./projects