Reference

Reference

Local semantic search for AI agents

85upvotes
Launched August 7, 2026

About Reference

Reference is a powerful local semantic search tool designed specifically for AI agents and developers working with code and files. Unlike cloud-based solutions, it runs entirely on your machine, ensuring data privacy and security. Its core feature set includes a live, continuously updating index that intelligently chunks code using tree-sitter, enabling precise and context-aware searches. Users can ask complex questions like 'how did I implement rate limiting here?' and receive exact code snippets cited down to the specific function, significantly improving debugging and code comprehension. The built-in MCP server offers endpoints such as /search, /explain, /find_similar, and /check_doc_drift, allowing AI models like Claude Code to generate accurate, citation-based results without wasting tokens on inefficient grep loops. Suitable for developers, AI engineers, and teams prioritizing privacy and precision, Reference elevates code search from simple keyword matching to an intelligent, code-aware experience.

Screenshots

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Pros

  • Local, privacy-focused search avoiding data leaks
  • Code-aware chunking with tree-sitter for precise results
  • Live index updates as files are saved for real-time accuracy
  • Built-in MCP server with multiple endpoints for AI integration
  • Highly specific code citations improve debugging and learning

Cons

  • Potential learning curve for users unfamiliar with advanced search features
  • Limited information on pricing and potential resource requirements
  • No mention of a free tier or open-source options

Use Cases

1Quickly locating specific code implementations or functions within a large codebase
2Debugging complex systems by asking natural language questions about the code
3Ensuring data privacy when working with sensitive or proprietary code
4Enhancing AI-assisted code review and explanation capabilities
5Maintaining an always-up-to-date code index for efficient development workflows

Pricing

Likely follows a freemium model with a free tier for basic usage and paid plans offering advanced features or enterprise integrations, but specific details are not publicly available.

Quick Info

Upvotes85
Comments3
Launched8/7/2026

Topics

MacDeveloper ToolsArtificial IntelligenceGitHub

Makers

Rahul Thennarasu

Rahul Thennarasu

Alternatives

Sourcegraph
grep or ripgrep with custom scripts
VSCode's native search and code intelligence features
GitHub Code Search
Kite
View all Reference alternatives →

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