By GRU-953
Point Claude at any local files or folders: Memorised them All converts them to Markdown and digests them into a token-free, searchable knowledge-graph memory (entities, relations, themes) it can recall from — with a global synopsis, per-theme summaries, and exportable Markdown notes. 100% local & private: deterministic and model-free (no LLM, Ollama, GPU, or embedding model), no network or API keys, free & open-source. Recall uses model-free BM25 ranking (script-agnostic, incl. Bengali) with a low-confidence guard; beneficiary PII is suppressed. A digest always finishes (per-file timeouts), memory writes are crash-safe, archives unpack safely (Zip-Slip/bomb guards), and legacy Bengali (SutonnyMJ/Bijoy) is auto-converted to Unicode with PDF-text recovery and re-OCR.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Export the generated memory as portable Markdown files
Delete a project's local memory (Memorised them All) — irreversible
Digest files/folders into local, token-free graph memory (Memorised them All)
Check the local stack (deterministic engine, Tesseract, MarkItDown) and projects
Recall from local graph memory — returns a tiny, citable slice (token-free)
Admin access level
Server config contains admin-level keywords
Point it at a folder of PDFs, Word/Excel files, or whole archives. It reads and remembers them entirely on your own computer — no AI models to install, no copy-pasting, no uploads, no API keys, no surprise token bills. Then just ask Claude about them later.
v2.4 · 100% local · deterministic · model-free · token-free · English + Bengali · what's new →
What is this? · Why it's different · Get started · First memory · Use cases · Bengali · FAQ · Advanced
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 — telling you 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:
.doc/.ppt/.xls), web pages, CSVs, EPUBs, even zip/rar archives (unpacked safely) — and converts them to clean text on your computer.The one-line idea: Claude tokens cost money; your computer's effort is free. So all the heavy lifting happens locally, and Claude only ever receives a tiny answer. Memorising a 500-page folder costs roughly zero chat tokens.
Once it's installed, you just talk to Claude normally:
You: Memorise everything in ~/Documents/contracts.
Claude: ✅ Digested 38 files → 421 facts across 7 themes. (took ~30s, all local)
You: Which contracts mention an auto-renewal clause, and when do they renew?
Claude: Three do — the Globex MSA (renews 1 Jan, 60-day notice), … [cites each source]
You: What changed between the 2023 and 2024 progress reports?
Claude: Three headline shifts — … [cites each source document]
Nothing left your machine. Claude never saw the 38 files — only the small, cited answers. Behind the scenes, recall uses a fast on-device keyword search (BM25) to pick the few most relevant snippets, and declines when your question isn't actually covered.
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Sign in to claimnpx claudepluginhub gru-953/memorised-them-all --plugin memorised-them-allLocal, token-free, graph-based project memory for Claude. Converts your documents into a knowledge graph + interactive mind map using local models (Ollama, Tesseract, MarkItDown) — near-zero Claude tokens to create or use, and reusable across projects.
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