Rememberizer Common Knowledge

Provides semantic search and retrieval for internal company knowledge bases, including documents and Slack discussions.

Search global news using natural language. Webz.io News Search API returns the most relevant articles and content, with filters for source, country, language, date, sentiment, and category.

Production-ready RAG out of the box to search and retrieve data from your own documents.

Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.

Codicil indexes a repo's Markdown/YAML/TOML docs into a local Chroma store and exposes query_docs/reindex_docs over MCP. Uses Ollama embeddings when available; with zero infra beyond that, it degrades to live keyword search off disk instead of failing.

Creates a personal, always-current knowledge base for AI by indexing documentation from websites, GitHub, npm, PyPI, and local files.

Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, 9 file formats, file watcher, and 12 MCP tools. Zero external servers. pip install knowledge-rag

A server for document management and semantic search using AI embeddings, with local JSON storage.

A knowledge base server that processes local documents (PDF, DOCX, TXT, HTML) and answers questions based on their content using similarity search.

Rememberizer MCP Server for Common Knowledge

Access and search personal or team knowledge repositories, including documents and Slack discussions, using semantic search and retrieval tools.

Rememberizer MCP Server for Common Knowledge

Access personal and team knowledge repositories, including documents and Slack discussions.

An MCP server for document ingestion, chunking, semantic search, and note management.