Ultrasync FAQs

Question 1

How does Ultrasync improve the performance of AI coding agents?

Accepted Answer

Ultrasync enhances AI coding agents by offering sub-second semantic, lexical, and RRF search, structured memory and recall (without additional LLM calls), and network-speed pattern matching for context and insights. This allows agents to quickly understand and interact with code efficiently.

Question 2

Does Ultrasync rely on external LLMs for its memory system?

Accepted Answer

No, Ultrasync's structured memory and recall system operates independently. It performs auto-extraction from transcripts using Hyperscan pattern matching, deduplication, and LRU eviction, all without requiring additional LLM calls or polluting the repository with markdown files.

Question 3

What is Ultrasync and what is its primary purpose?

Accepted Answer

Ultrasync is a developer tool that provides semantic indexing and advanced search capabilities for codebases. Its primary purpose is to enable deep code understanding and seamless integration with AI coding agents through its high-performance Model Context Protocol (MCP) server.

Question 4

What kind of indexing and search capabilities does Ultrasync offer?

Accepted Answer

Ultrasync features a two-layer JIT + AOT indexing architecture for efficiency. It supports multi-strategy search including semantic vector search, lexical BM25 search, and hybrid RRF combining both, ensuring fast and accurate retrieval for various query types.

Question 5

How does Ultrasync integrate with AI coding agents?

Accepted Answer

Ultrasync integrates via a comprehensive MCP server, exposing over 70 tools for indexing, search, memory, patterns, IR extraction, and more. It offers flexible tool categories (e.g., 'search', 'memory', 'all') allowing easy configuration for agents like Claude Code and Codex with virtually no setup.

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