Sdof FAQs

Question 1

What is Sdof?

Accepted Answer

Sdof is a Structured Decision Optimization Framework that provides persistent memory and context management for AI systems through a structured 5-phase optimization workflow.

Question 2

What is the 5-Phase Optimization Workflow?

Accepted Answer

The 5-phase workflow includes Exploration, Analysis, Implementation, Evaluation, and Integration, helping to structure and optimize AI decision-making processes.

Question 3

What databases does Sdof support for persistent storage?

Accepted Answer

Sdof supports both MongoDB and SQLite for persistent storage, along with vector indexing for efficient semantic search.

Question 4

How can I use Sdof with my AI client?

Accepted Answer

Sdof supports the Model Context Protocol (MCP) and provides an HTTP API, making it compatible with various AI clients like Claude and others. Configuration details are available in the documentation.

Question 5

What are the key features of Sdof?

Accepted Answer

Sdof features a 5-phase optimization workflow, semantic search with OpenAI embeddings, persistent storage with MongoDB/SQLite, multi-interface support (MCP & HTTP API), and structured content types.

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