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dataiku/kiji-proxy

Privacy proxy for your OpenAI requests

Go ◇ ai-gateway Apache-2.0
★438STARS
⑂51FORKS
!42ISSUES
🏆#9,601GLOBAL RANK
🔥3DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

kiji-proxy is kiji-proxy is an open-source project written in Go: Privacy proxy for your OpenAI requests..

Repository dataiku/kiji-proxy ↗
Primary Category ai gateway
Language & Stack Go
Software License Apache-2.0
Community Traction ★ 438 stars · ⑂ 51 forks · #9,601 globally
Maintenance ● Active (Last commit: Oct 16, 2026) · 42 open issues
Target Audience Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

Star History

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Momentum

+11

STARS · LAST 30 DAYS

1

PER DAY

#1,083

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+11+90
Per day111
Forks gained+1+3+10

kiji-proxy gained 11 stars in the last 30 days, about 1 a day, and now has 438. It is about 1 year old and has averaged roughly 438 stars a year. It ranks #1,083 among Go repositories and #9,601 across all languages on GitHubRepo.

Trending Record

kiji-proxy has maintained a continuous presence across global trending indexes, peaking at #9828. Below is the 30-day activity profile:

💡 Overview

kiji-proxy is an open-source project written in Go: Privacy proxy for your OpenAI requests.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-gateway, data-anonymization, data-masking. 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 Go 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
$ go install github.com/dataiku/kiji-proxy@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

kiji-proxy coordinates its core functionality through a modular Go 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 kiji-proxy.

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 kiji-proxy using your package manager: `go install github.com/dataiku/kiji-proxy@latest`

2

Initialize your project workspace or configuration file for kiji-proxy.

3

Import kiji-proxy into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 438 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Go 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 Go 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 Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

dataiku/kiji-proxy is currently ranked #9,601 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,588 Eclectic-Sheep/sheeprl Python ★ 439 Compare ↗
#9,588 JetBrains/youtrackdb Java ★ 439 Compare ↗
#9,588 ziggy42/epsilon Go ★ 439 Compare ↗
#9,588 Moonfin-Client/Plugin C# ★ 439 Compare ↗
#9,588 anomalyco/browser-control TypeScript ★ 439 Compare ↗
#9,601 dataiku/kiji-proxy This Project Go ★ 438
#9,601 alphazero/Go-Redis Go ★ 438 Compare ↗
#9,601 shepmaster/twox-hash Rust ★ 438 Compare ↗
#9,601 AAEmu/AAEmu C# ★ 438 Compare ↗
#9,601 rubiin/ultimate-nest TypeScript ★ 438 Compare ↗
#9,601 rfresh2/ZenithProxy Java ★ 438 Compare ↗
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Frequently Asked Questions

What does kiji-proxy do? +

Privacy proxy for your OpenAI requests

What language is kiji-proxy written in? +

The primary language is Go. Topics include: ai-gateway, data-anonymization, data-masking, llm-security, pii-detection.

Is kiji-proxy actively maintained? +

Yes, the last recorded push was on Oct 16, 2026 with 42 open issues being tracked.

How many stars does kiji-proxy have? +

kiji-proxy has 438 stars and 51 forks on GitHub.

How does kiji-proxy rank among GitHub repositories? +

With 438 stars, dataiku/kiji-proxy is ranked #9,601 globally across all repositories tracked on GitHubRepo and #1,083 among Go projects.

What license is kiji-proxy distributed under? +

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

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