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kruzovic7
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kruzovic7/ai-data-extractor

Free open-source extractor for AI coding assistant chat histories. Supports Claude Code, Cursor, Windsurf, Aider, Cline/Roo Code, and more.

Python ◇ ai MIT
★844STARS
⑂136FORKS
!0ISSUES
🏆#2,874GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for kruzovic7/ai-data-extractor
CSV

Momentum

+21

STARS · LAST 30 DAYS

1

PER DAY

#360

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+21+90
Per day111
Forks gained+1+3+10

ai-data-extractor gained 21 stars in the last 30 days, about 1 a day, and now has 844. It is about 1 year old and has averaged roughly 844 stars a year. It ranks #360 among Python repositories and #2,874 across all languages on GitHubRepo.

Trending Record

ai-data-extractor has maintained a continuous presence across global trending indexes, peaking at #568. Below is the 30-day activity profile:

💡 Overview

ai-data-extractor is an open-source project written in Python: Free open-source extractor for AI coding assistant chat histories. Supports Claude Code, Cursor, Windsurf, Aider, Cline/Roo Code, and more.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-data-extraction, claude-code. 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 Python 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
$ pip install ai-data-extractor

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ai-data-extractor coordinates its core functionality through a modular Python 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 ai-data-extractor.

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 ai-data-extractor using your package manager: `pip install ai-data-extractor`

2

Initialize your project workspace or configuration file for ai-data-extractor.

3

Import ai-data-extractor into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `ai-data-extractor --help` to verify successful setup.

👍 Strengths

Active community backing with 844 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python 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 Python 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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Explore all Cursor alternatives →
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👥 Who Should Use This

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

🏆 Nearby in the Rankings

kruzovic7/ai-data-extractor is currently ranked #2,874 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#2,869 swiftlang/swift-driver Swift ★ 846 Compare ↗
#2,869 openshift/microshift Go ★ 846 Compare ↗
#2,869 nftechie/stonkfly Python ★ 846 Compare ↗
#2,872 sparklemotion/sqlite3-ruby Ruby ★ 845 Compare ↗
#2,872 grodowski/undercover Ruby ★ 845 Compare ↗
#2,874 kruzovic7/ai-data-extractor This Project Python ★ 844
#2,874 maddada/Ghostex Rust ★ 844 Compare ↗
#2,876 dradis/dradis-ce Ruby ★ 843 Compare ↗
#2,876 dotMorten/WinUIEx C# ★ 843 Compare ↗
#2,878 Justineo/vue-clamp TypeScript ★ 842 Compare ↗
#2,878 EranBoudjnah/CleanArchitectureForAndroid Kotlin ★ 842 Compare ↗

Frequently Asked Questions

What does ai-data-extractor do? +

Free open-source extractor for AI coding assistant chat histories. Supports Claude Code, Cursor, Windsurf, Aider, Cline/Roo Code, and more.

What language is ai-data-extractor written in? +

The primary language is Python. Topics include: ai, ai-data-extraction, claude-code, cursor.

Is ai-data-extractor actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 0 open issues being tracked.

How many stars does ai-data-extractor have? +

ai-data-extractor has 844 stars and 136 forks on GitHub.

How does ai-data-extractor rank among GitHub repositories? +

With 844 stars, kruzovic7/ai-data-extractor is ranked #2,874 globally across all repositories tracked on GitHubRepo and #360 among Python projects.

What license is ai-data-extractor distributed under? +

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

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