{"name":"gru-953-memorised-them-all","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"gru-953-memorised-them-all","source":{"source":"github","repo":"gru-953/memorised-them-all"},"description":"Point your AI assistant 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. Works with Claude, Gemini, Cursor, VS Code, Windsurf, ChatGPT's Codex and Grok via one `mta setup`. 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. Re-digests are incremental (only changed files are re-read); recall can filter by document or entity type and span several projects at once; and memories export, import, merge and diff across machines. 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.","version":"3.3.0","strict":true,"keywords":["memory","knowledge-graph","graphrag","rag","mcp","markitdown","token-free","deterministic","offline","local","privacy","bengali","markdown","incremental","portable","claude","gemini","cursor","vscode","windsurf","codex","grok"],"category":"deployment"}]}