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USearch

unum-cloud/USearch

Fast Open-Source Search & Clustering engine for Vectors & Arbitrary Objects

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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4.3k stars347 forksLast push Aug 31, 2026 C++ Apache-2.0

Decision brief

USearch is a fast open-source tool designed for efficient vector and arbitrary object search and clustering across multiple programming languages, backed by the Apache-2.0 license.

Observed Jul 12, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Active (19d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/unum-cloud/USearch

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides fast searching and clustering capabilities for vectors across various programming languages.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 20, 2026

MCP server
No MCP server detected

Source: repo_scan · Sep 20, 2026

Languages
c++, javascript, typescript, python

Source: github.language+package.json+pyproject.toml · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

# pip install usearch
Source link

Tags

README

pip install usearch import numpy as np from usearch.index import Index index = Index(ndim=3) Default settings for 3D vectors vector = np.array([0.2, 0.6, 0.4]) Can be a matrix for batch operations index.add(42, vector) Add one or many vectors in parallel matches = index.search(ve...

For agents

This page has a .md twin and JSON over the API.

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