JJW 

The country information list including ISO 3166 & MCC & MNC & Continent code. For the directions for use please see https://github.com/AJ-comp/Algorithm. (ISO3166-Mobile part) This project referred to... More information

This project supports custom functions for user's clean code that are not directly provided by .NET. New Features: Safe File Operations (Mythosia.IO) NEW: Safely read text or binary files with graceful error... More information

## This project is moved the https://github.com/AJ-comp/Mythosia/tree/master/Mythosia.Integrity. Now this project is integrated with Mythosia project but all interface is equal with this project except... More information

## What's New in v6.7.0 ### Fixed - The message-count sliding window (MaxMessageCount) can no longer drop the anchoring user message. Long agentic runs (RunAgentAsync/RunAgentStreamAsync) append two messages... More information

Core abstractions for vector storage: IVectorStore, VectorRecord, VectorFilter, VectorSearchResult, HybridSearchAsync, GetBatchAsync, CountAsync, VerifyConnectionAsync, Bm25Tokenizer. Framework-agnostic... More information

Core abstractions for Mythosia.AI RAG pipeline. Defines ITextSplitter, IEmbeddingProvider, IContextBuilder, IRetrievalStrategy, IReranker interfaces, RagDocument, RagQueryOptions (with StoreFilter and Clone),... More information

From this version, you can use the polymorphism. Please see the GitHub readme file. support checksum8: 1. xor (using in NMEA format) 2. modulo-256 3. 2's complement support CRC8: 1. CRC8 2. CRC8... More information

RAG (Retrieval Augmented Generation) orchestration for Mythosia.AI. Implements Mythosia.AI.Rag.Abstractions v6.x. Includes RagPipeline, text splitters, context builder, OpenAI/vLLM embedding providers, hybrid... More information

Core abstractions and shared models for Mythosia.AI. Defines IAIService interface, Message, ChatBlock, StreamingContent, FunctionDefinition, and other contract types. Zero heavy dependencies.

In-memory vector store implementation for Mythosia VectorDb. Provides InMemoryVectorStore with cosine similarity TopK search, metadata filtering, upsert/delete operations, GetBatchAsync, CountAsync,... More information

SEED encryption algorithm

Core document abstractions: DoclingDocument structured model, IDocumentLoader, IDocumentParser, Markdown serialization, and element types (TextItem, TableItem, CodeItem, etc.). Framework-agnostic and usable... More information

PostgreSQL (pgvector) vector store implementation for Mythosia VectorDb. Provides PostgresStore with multi-strategy similarity search (Cosine, Euclidean, InnerProduct), metadata jsonb filtering, GetBatchAsync,... More information

Package Description

Alibaba Cloud Qwen provider package for Mythosia.AI. Includes QwenService with expanded Qwen 3 / 3.5 model constants, platform-specific thinking request handling across DashScope, vLLM, and Ollama, token usage... More information

**New Features**: This update introduces an extension method to automatically convert strings into valid Azure Blob Storage container names. Azure Blob Storage imposes strict naming rules requiring lowercase... More information

PDF document loader. Parses PDF files into DoclingDocument structured models via PdfPig. Font-size based heading detection, bullet/numbered list recognition, spatial paragraph grouping. Supports encrypted PDFs,... More information

Office document loaders for Word (.docx), Excel (.xlsx), and PowerPoint (.pptx). Parses documents into DoclingDocument structured models via OpenXml, preserving heading hierarchy and slide content order.

Qdrant vector store implementation for Mythosia VectorDb. Single-collection architecture with payload-based logical isolation via Metadata. Supports Cosine, Euclidean, and Dot Product similarity search,... More information

Package Manager Console tools for Mythosia VectorDb providers, including Qdrant migration and copy support. Install via NuGet and use commands directly in PMC.