Enables generation of educational content like MCQs, lesson plans, and flashcards without relying on external LLMs, fully offline and compatible with Claude Desktop.
Q-learning memory for Claude Code. Persistent memory that learns which context helps you get work done. Memories that lead to productive sessions (commits, PRs, tests)
earn higher retrieval rank automatically. 16 MCP tools, hybrid BM25 + vector + Q-value scoring, local-first with Qdrant + FastEmbed.
Persistent AI knowledge base for Claude via Model Context Protocol — fully offline, no cloud API key required. Stores architectural decisions, technical debt, project progress, and domain knowledge in versioned Markdown files.
Persistent, shared memory for Claude across sessions and clients (Code, Desktop, Cowork) — deterministic diff reads, checkpoints, cross-client task handoff, and project-wide search. 100% local and deterministic, no API keys, no LLM summarization.
Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.
Imagine you could hand Claude a filing cabinet of your documents and say "remember all of this." Later you just ask questions, and Claude answers from what it remembers — citing which document each fact came from.
That's Memorised them All. It's a small add-on (an MCP server) for Claude Desktop and Claude Code that:
Reads your files — PDFs, Word/Excel/PowerPoint, web pages, images (with OCR), ev