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Reference Review

Reference is a tool designed for developers that allows for local file searches tailored for AI agents, providing citations back to the source.

shipped Aug 7, 2026agentsfreemium
Domain rating4.5
agents
Reference — product screenshot

Why it matters

1Reference operates completely offline, requiring no accounts or cloud access.
2It launched on Product Hunt on August 5, 2026, emphasizing its local and private nature.
3The tool offers a freemium pricing model, with a 'Standard' free tier available.
4Reference integrates with the Model Context Protocol (MCP) server for AI agent interaction.

About Reference

Platforms
macOS
Target Audience
Developers

Pricing Plans

Standard
Free
  • • Search in plain language
  • • Fuzzy and semantic search
  • • Offline usage
  • • No account required

Leadership

Rahul ThennarasuDeveloper
API DocsGitHubOpen Source

overview

What is Reference?

Reference is an AI tool developed by Rahul Thennarasu that enables developers to make their local files searchable for AI agents. It uses fuzzy and semantic search capabilities to pinpoint exact files and lines, providing citations back to the source, all while operating completely offline without accounts or cloud access. Its primary function is to allow AI agents to query a developer's local codebase in natural language and receive precise, cited answers, down to the exact function or line of code.

features

Key Features of Reference

Reference provides a suite of features designed to enhance local file search for AI agents, prioritizing privacy and precision. Its core capabilities revolve around intelligent indexing and retrieval of information from a developer's local environment.

  • Local Semantic Search: Performs intelligent search across local files and code using natural language queries.
  • Completely Offline Operation: Functions without an internet connection, ensuring maximum privacy and data security.
  • No Cloud, No Account, No Upload: Emphasizes privacy by not requiring user accounts, cloud storage, or uploading of code.
  • Live Indexing: The index updates automatically as files are saved, keeping the knowledge base current.
  • Code-Aware Chunking (Tree-sitter): Understands code structure to provide more relevant and precise search results at function/class granularity.
  • Fuzzy and Semantic Search: Combines both fuzzy matching and semantic understanding to find relevant code snippets and information.
  • Cited Results: Provides answers with direct citations back to the exact file and line of code.
  • Built-in MCP Server: Includes a Model Context Protocol (MCP) server, allowing AI agents like Claude Code to directly interact with the local index using tools like /search, /explain, /find_similar, and /check_doc_drift.

use cases

Who Should Use Reference?

Reference is primarily targeted at developers, programmers, researchers, and knowledge workers who utilize AI agents for code or text assistance and require secure, local access to their project files. Its design addresses the need for privacy and precise context within a local development environment.

  • Developers and Programmers: For code navigation, understanding, and augmenting AI coding agents like Claude Code with precise, cited context from private codebases.
  • Researchers: To make local research papers and data files searchable, providing synthesized answers with citations.
  • Knowledge Workers: For organizing and searching personal knowledge bases stored locally, ensuring data privacy.
  • Users of AI Agents: To provide AI agents with a direct interface to search, explain, and find similar code within a private codebase without manual copy-pasting or token-intensive grep loops.

how to use

How to Use Reference

Reference is designed for straightforward integration into a developer's workflow, primarily on macOS. Users can initiate local file indexing and then leverage AI agents to query this indexed content.

  • 1Download and install the Reference application on macOS.
  • 2Configure Reference to index desired local files and folders.
  • 3Allow Reference to perform live re-indexing as files are saved to maintain an up-to-date knowledge base.
  • 4Utilize AI agents (e.g., Claude Code) to interact with the local index via the built-in MCP server.
  • 5Query the indexed content using natural language to receive synthesized answers with clickable, syntax-highlighted citations.

pricing

Reference Pricing & Plans

Reference operates on a freemium model, offering a fully functional 'Standard' tier at no cost. As of its launch on Product Hunt on August 5, 2026, no explicit details about additional paid tiers or premium features have been publicly disclosed, suggesting the primary offering is currently free.

  • Standard: Free (Includes local semantic search, offline operation, live indexing, code-aware chunking, cited results, and MCP server integration).

Pros

  • +Completely offline operation ensures maximum data privacy and security for sensitive code and files.
  • +Provides precise, cited answers down to the exact line of code, enhancing AI agent accuracy.
  • +Integrates directly with AI coding agents via an MCP server, streamlining workflow without manual copy-pasting.
  • +Live indexing keeps the local knowledge base current with saved file changes.
  • +Offers a free 'Standard' tier, making advanced local search capabilities accessible.

Cons

  • −Currently limited to macOS platform, restricting availability for users on Windows or Linux.
  • −As a recently launched tool (August 2026), long-term user reviews and extensive community support are still developing.
  • −The freemium model currently lacks detailed information on potential future premium features or enterprise options.

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