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Tech riderRev. 20 Sept 2026

monkeSearch

Ch 176.8of 59 Desktop Search Software
  1. 1Runs onLinux, Mac, Windows
  2. 2CostsNot stated by the maker
  3. 3Supported platformsMac
  4. 4Index locationslocal
  5. 5Content searchNo
4 lines stated Written from the maker's own pages: monkesearch.github.io
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The monkeSearch homepage

Overview

monkeSearch is ranked #17 of 59 in desktop search software on Specifiction. It runs on Linux, macOS, Windows.

Compared on desktop search software

Supported platforms
macOSmonkesearch.github.io
Index locations
localmonkesearch.github.io
Content search
Nomonkesearch.github.io

Facts

Product
monkeSearch is an open-source, offline-first desktop tool for searching local files with natural-language queries.monkesearch.github.io · 5 Oct 2026
Search inputs
The maker describes queries as combining file type, temporal context, and other keywords.monkesearch.github.io · 5 Oct 2026
Local processing
The maker says both approaches work fully offline and that nothing leaves the machine.monkesearch.github.io · 5 Oct 2026
macOS approach
The main/dev approach uses a local LLM to turn queries into macOS Spotlight search arguments.monkesearch.github.io · 5 Oct 2026
Vector database approach
The vectordb branch uses vector databases instead of a live LLM at query time and is described as cross-platform.monkesearch.github.io · 5 Oct 2026
Platform architecture
The maker describes vectordb support for macOS, Windows, and Linux; the repository says the main branch is currently macOS-only.github.com · 5 Oct 2026
macOS integration
The main/dev branch uses Spotlight’s existing index and the NSMetadataQuery API for file discovery.monkesearch.github.io · 5 Oct 2026
Windows integration
The vectordb Windows architecture uses an os.walk filesystem crawl and ChromaDB for vector storage and retrieval.monkesearch.github.io · 5 Oct 2026
Security
The maker describes the Spotlight-based approach as read-only and scoped through Spotlight’s access controls.monkesearch.github.io · 5 Oct 2026
Agent use
The maker says the LLM-based implementation can serve as a natural-language file-discovery bridge for AI agents and orchestration systems.monkesearch.github.io · 5 Oct 2026
Performance tradeoff
On macOS, the maker says disabling LEANN recompute makes searches faster at the cost of disk space; recompute is enabled by default.monkesearch.github.io · 5 Oct 2026
Requirements
The main branch requires macOS, Python 3.8 or later, llama-server, and a GGUF model; the stated default model is about 700 MB.github.com · 5 Oct 2026
Limitations
The repository lists Spotlight-indexed files only, metadata-only search, possible small-model misunderstandings, and simple temporal expressions as limitations.github.com · 5 Oct 2026
License and support
The project is open source under the Apache-2.0 license, and its site asks users to support it by starring the repository.github.com · 5 Oct 2026

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Sources