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ultrasync

Lightning-fast semantic indexing and search for AI coding agents with persistent memory

ultrasync Introduction

ultrasync provides turnkey semantic indexing, search, and full codebase understanding for AI coding agents. Its optimized architecture delivers sub-second queries and structured contextual results through native Model Context Protocol (MCP) integration, eliminating token waste and recursive searches.

Key benefits include:

  • Hybrid Search: Combines BM25 keyword matching and semantic vectors via RRF for precise results
  • Persistent Memory: Remembers decisions, constraints, and findings from prior sessions
  • Zero-LLM Classification: Hyperscan pattern matching identifies 24+ context types (auth, frontend, etc.) without LLM costs
  • Blazing Indexing: Full codebase indexing in seconds with JIT + AOT dual-layer optimization
  • Structured MCP Output: Returns actionable data instead of raw text for agent workflows

Perfect for developers building AI-assisted coding tools who need real-time codebase context with enterprise-grade performance and privacy.

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Pricing
Free
Platforms
Web
Listed
Jan 05, 2026
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