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yjid/kensaku

Search inside documents, code, and even screenshots - instantly and locally. A free, open-source file launcher with OCR, semantic search, and MCP agent access.

Rust ◇ ai-agents MIT
★1.7KSTARS
⑂111FORKS
!16ISSUES
🏆#6,270GLOBAL RANK
🔥6DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

kensaku is kensaku is an open-source project written in Rust: Search inside documents, code, and even screenshots - instantly and locally. A free, open-source file launcher with OCR, semantic search, and MCP agent access..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), yjid/kensaku has accumulated 1,685 GitHub stars and 111 forks. It is written in Rust, licensed under MIT, and ranks #6,270 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
Repository yjid/kensaku ↗
Primary Category ai agents
Language & Stack Rust
Software License MIT
Community Traction ★ 1.7K stars · ⑂ 111 forks · #6,270 globally
Maintenance ● Active (Last commit: Nov 10, 2026) · 16 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is kensaku actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, kensaku is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (2 days ago). Supported by 1,685 stars and 111 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 10, 2026
2 days since last push
Issue Backlog
16 Open Issues
Healthy Issue Cadence
Community Backing
111 Forks
1.7K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for yjid/kensaku
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Momentum

+42

STARS · LAST 30 DAYS

1

PER DAY

#613

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+920+42+90
Per day13111
Forks gained+62+3+10

kensaku gained 42 stars in the last 30 days, about 1 a day, and now has 1.7K. It is about 1 year old and has averaged roughly 1.7K stars a year. It ranks #613 among Rust repositories and #6,270 across all languages on GitHubRepo.

Trending Record

kensaku has maintained a continuous presence across global trending indexes, peaking at #197. Below is the 30-day activity profile:

💡 Overview

kensaku is an open-source project written in Rust: Search inside documents, code, and even screenshots - instantly and locally. A free, open-source file launcher with OCR, semantic search, and MCP agent access.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, desktop, desktop-search. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install kensaku

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

kensaku coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with kensaku.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install kensaku using your package manager: `cargo install kensaku`

2

Initialize your project workspace or configuration file for kensaku.

3

Import kensaku into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `kensaku --help` to verify successful setup.

👍 Strengths

Active community backing with 765 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

yjid/kensaku is currently ranked #6,270 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,264 debezium/debezium-examples JavaScript ★ 1.7K Compare ↗
#6,264 open-telemetry/opentelemetry-go-contrib Go ★ 1.7K Compare ↗
#6,264 thejaustin/ShizukuPlus Kotlin ★ 1.7K Compare ↗
#6,268 FOGProject/fogproject PHP ★ 1.7K Compare ↗
#6,268 siddsachar/row-bot Python ★ 1.7K Compare ↗
#6,270 yjid/kensaku This Project Rust ★ 1.7K
#6,270 jpatokal/openflights PHP ★ 1.7K Compare ↗
#6,270 vladimiry/ElectronMail TypeScript ★ 1.7K Compare ↗
#6,273 pillarjs/hbs JavaScript ★ 1.7K Compare ↗
#6,273 uriyyo/fastapi-pagination Python ★ 1.7K Compare ↗
#6,273 Multiwoven/multiwoven Ruby ★ 1.7K Compare ↗
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Frequently Asked Questions

What does kensaku do? +

Search inside documents, code, and even screenshots - instantly and locally. A free, open-source file launcher with OCR, semantic search, and MCP agent access.

Is kensaku actively maintained in 2026? +

Yes, kensaku is actively maintained. The latest code push was recorded on Nov 10, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,685 stars and 16 open issues.

What language is kensaku written in? +

The primary language is Rust. Topics include: ai-agents, desktop, desktop-search, file-search, full-text-search.

How many stars does kensaku have? +

kensaku has 1,685 stars and 111 forks on GitHub.

How does kensaku rank among GitHub repositories? +

With 1,685 stars, yjid/kensaku is ranked #6,270 globally across all repositories tracked on GitHubRepo and #613 among Rust projects.

What license is kensaku distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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