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xerj-org/xerj

XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.

Rust ◇ ai-search Apache-2.0
★2.5KSTARS
⑂228FORKS
!5ISSUES
🏆#1,644GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for xerj-org/xerj
CSV

Momentum

+63

STARS · LAST 30 DAYS

2

PER DAY

#175

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+14+63+180
Per day222
Forks gained+1+5+11

xerj gained 63 stars in the last 30 days, about 2 a day, and now has 2.5K. It is about 1 year old and has averaged roughly 2.5K stars a year. It ranks #175 among Rust repositories and #1,644 across all languages on GitHubRepo.

Trending Record

xerj has maintained a continuous presence across global trending indexes, peaking at #128. Below is the 30-day activity profile:

💡 Overview

xerj is an open-source project written in Rust: XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-search, ai-search-algorithms, ai-search-engine. 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 xerj

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

xerj 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 xerj.

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 xerj using your package manager: `cargo install xerj`

2

Initialize your project workspace or configuration file for xerj.

3

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

4

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

👍 Strengths

Active community backing with 2,434 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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.

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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

xerj-org/xerj is currently ranked #1,644 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does xerj do? +

XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.

What language is xerj written in? +

The primary language is Rust. Topics include: ai-search, ai-search-algorithms, ai-search-engine, ai-search-free, ai-search-module.

Is xerj actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 5 open issues being tracked.

How many stars does xerj have? +

xerj has 2,523 stars and 228 forks on GitHub.

How does xerj rank among GitHub repositories? +

With 2,523 stars, xerj-org/xerj is ranked #1,644 globally across all repositories tracked on GitHubRepo and #175 among Rust projects.

What license is xerj distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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