codingthefuturewithai/rag-memory
If you are the rightful owner of rag-memory and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
A PostgreSQL pgvector-based RAG memory system with MCP server for AI agents.
Tools
Functions exposed to the LLM to take actions
search_documents
Semantic search with vector similarity.
list_collections
Discover available knowledge bases.
ingest_text
Add text content with auto-chunking.
list_documents
Browse documents with pagination.
get_document_by_id
Retrieve full source document.
update_document
Edit existing documents.
delete_document
Remove outdated content.
get_collection_info
Collection stats and crawl history.
analyze_website
Sitemap analysis for planning crawls.
ingest_url
Crawl web pages with duplicate prevention.
ingest_file
Ingest text files from filesystem.
ingest_directory
Batch ingest from directory.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client