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langchain-ai/paid-media-agent

Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.

Python ◇ ads Apache-2.0
★102STARS
⑂23FORKS
!0ISSUES
🏆#22,793GLOBAL RANK
🔥27DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

paid-media-agent is paid-media-agent is an open-source project written in Python: Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.. It provides a free, self-hosted open-source alternative to Slack.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), langchain-ai/paid-media-agent has accumulated 102 GitHub stars and 23 forks. It is written in Python, licensed under Apache-2.0, and ranks #22,793 globally. It is actively maintained with the latest commit recorded on Oct 10, 2026.”
Repository langchain-ai/paid-media-agent ↗
Primary Category ads
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 102 stars · ⑂ 23 forks · #22,793 globally
Maintenance ● Active (Last commit: Oct 10, 2026) · 0 open issues
Replaces SaaS Open Source Slack Alternative ($8.75–$15/user/month) →
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is paid-media-agent actively maintained in 2026?
Verdict: Actively Maintained

Yes, paid-media-agent is actively maintained. Continuous telemetry recorded the last code commit on Oct 10, 2026 (23 days ago). Supported by 102 stars and 23 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (23 days ago) and healthy issue cadence.

Commit Recency
Oct 10, 2026
23 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
23 Forks
102 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for langchain-ai/paid-media-agent
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#3,121

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

paid-media-agent gained 10 stars in the last 30 days, about 1 a day, and now has 102. It is about 1 year old and has averaged roughly 102 stars a year. It ranks #3,121 among Python repositories and #22,793 across all languages on GitHubRepo.

Trending Record

paid-media-agent has maintained a continuous presence across global trending indexes, peaking at #4034. Below is the 30-day activity profile:

💡 Overview

paid-media-agent is an open-source project written in Python: Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ads, advertising, 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 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 paid-media-agent

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

paid-media-agent 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 paid-media-agent.

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 paid-media-agent using your package manager: `pip install paid-media-agent`

2

Initialize your project workspace or configuration file for paid-media-agent.

3

Import paid-media-agent into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `paid-media-agent --help` to verify successful setup.

👍 Strengths

Active community backing with 97 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

💡
Open Source Alternative to Slack Replaces proprietary subscriptions ($8.75–$15/user/month) with self-hosted freedom.
Explore all Slack 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

langchain-ai/paid-media-agent is currently ranked #22,793 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#22,706 xyz-rafael-xyz/roguard-child-safety Python ★ 103 Compare ↗
#22,706 vatavale/folivox Python ★ 103 Compare ↗
#22,706 mengwEX/dsh-block-ptc JavaScript ★ 103 Compare ↗
#22,706 StopBanning/toaster JavaScript ★ 103 Compare ↗
#22,706 cablate/model-relay JavaScript ★ 103 Compare ↗
#22,793 langchain-ai/paid-media-agent This Project Python ★ 102
#22,793 mbleigh/uberkit Ruby ★ 102 Compare ↗
#22,793 macournoyer/min Java ★ 102 Compare ↗
#22,793 chb/indivo_server Python ★ 102 Compare ↗
#22,793 hoelzro/linotify C ★ 102 Compare ↗
#22,793 dcrec1/acts_as_solr_reloaded Ruby ★ 102 Compare ↗
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Frequently Asked Questions

What does paid-media-agent do? +

Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.

Is paid-media-agent actively maintained in 2026? +

Yes, paid-media-agent is actively maintained. The latest code push was recorded on Oct 10, 2026 (23 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 102 stars and 0 open issues.

What language is paid-media-agent written in? +

The primary language is Python. Topics include: ads, advertising, agent, agents, ai-agent.

How many stars does paid-media-agent have? +

paid-media-agent has 102 stars and 23 forks on GitHub.

How does paid-media-agent rank among GitHub repositories? +

With 102 stars, langchain-ai/paid-media-agent is ranked #22,793 globally across all repositories tracked on GitHubRepo and #3,121 among Python projects.

What license is paid-media-agent distributed under? +

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

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