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socai-io/jev-social

Jev × socai turns a social research question into real Instagram, TikTok, and LinkedIn evidence plus a source-linked report.

JavaScript ◇ agent-skills MIT
★88STARS
⑂13FORKS
!5ISSUES
🏆#6,885GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for socai-io/jev-social
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#520

MOST-STARRED JavaScript

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

jev-social gained 10 stars in the last 30 days, about 1 a day, and now has 88. It is about 1 year old and has averaged roughly 88 stars a year. It ranks #520 among JavaScript repositories and #6,885 across all languages on GitHubRepo.

Trending Record

jev-social has maintained a continuous presence across global trending indexes, peaking at #233. Below is the 30-day activity profile:

💡 Overview

jev-social is an open-source project written in JavaScript: Open-source Agent Skill and local demo: Jev × socai for Instagram, TikTok, and LinkedIn research—typed routing, real browser evidence, streamed posts, video, and cited reports.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-agents, browser-agent. 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 JavaScript 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
$ npm install jev-social

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

jev-social coordinates its core functionality through a modular JavaScript 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 jev-social.

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 jev-social using your package manager: `npm install jev-social`

2

Initialize your project workspace or configuration file for jev-social.

3

Import jev-social into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 76 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in JavaScript 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 JavaScript 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 JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

socai-io/jev-social is currently ranked #6,885 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,878 kyleshank/apt-transport-s3 C++ ★ 89 Compare ↗
#6,878 tbalthazar-archives/ubuntu-machine Ruby ★ 89 Compare ↗
#6,878 kbroman/qtl R ★ 89 Compare ↗
#6,878 yj-liuzepeng/dsh-project-brain JavaScript ★ 89 Compare ↗
#6,878 NativePHP/superstack PHP ★ 89 Compare ↗
#6,885 socai-io/jev-social This Project JavaScript ★ 88
#6,885 camptocamp/puppet-tomcat HTML ★ 88 Compare ↗
#6,885 python-postgres/fe Python ★ 88 Compare ↗
#6,885 bevry-archive/jquery-lightbox JavaScript ★ 88 Compare ↗
#6,885 polly/ffmpeg Ruby ★ 88 Compare ↗
#6,885 nahladzulula/ZephyrQuill PHP ★ 88 Compare ↗

Frequently Asked Questions

What does jev-social do? +

Jev × socai turns a social research question into real Instagram, TikTok, and LinkedIn evidence plus a source-linked report.

What language is jev-social written in? +

The primary language is JavaScript. Topics include: agent-skills, ai-agents, browser-agent, browser-automation, codex-skills.

Is jev-social actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 5 open issues being tracked.

How many stars does jev-social have? +

jev-social has 88 stars and 13 forks on GitHub.

How does jev-social rank among GitHub repositories? +

With 88 stars, socai-io/jev-social is ranked #6,885 globally across all repositories tracked on GitHubRepo and #520 among JavaScript projects.

What license is jev-social distributed under? +

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

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