What are the prerequisites to run PostgMem?
You need .NET 9.0 SDK, a PostgreSQL database with the pgvector extension installed, and a text embedding API (the default configuration uses Ollama).
@dariogriffo
基本情報
MCP server to store memories in postgres
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PostgMem is a .NET-based MCP (Model Context Protocol) server that provides vector memory storage using PostgreSQL with the pgvector extension. It allows AI agents to store, retrieve, and search through memories using vector embeddings for efficient similarity search.
Ensure .NET 9.0 SDK, a PostgreSQL database with pgvector installed, and a text embedding API (default is Ollama) are available. Create the required memories table, configure the .env file with connection string and embedding settings, then run dotnet run in the PostgMem directory. The server starts at http://localhost:5000 by default.
You need .NET 9.0 SDK, a PostgreSQL database with the pgvector extension installed, and a text embedding API (the default configuration uses Ollama).
Set the `ConnectionStrings__Storage`, `Embeddings__ApiUrl`, and `Embeddings__Model` environment variables in a `.env` file. The embedding API URL defaults to `http://localhost:11434/`.
It provides four tools: Store (store a new memory), Search (search by similarity), Get (retrieve by ID), and Delete (delete by ID). Each accepts specific parameters documented in the README.
A `memories` table must be created with columns: `id` (UUID), `type` (TEXT), `content` (JSONB), `source` (TEXT), `embedding` (VECTOR(384)),

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