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Panniantong/Agent-Reach

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

★107KSTARS
⑂9.5KFORKS
!275ISSUES
🏆#90GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

Agent-Reach is Agent-Reach is an open-source project written in Python: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. It provides a free, self-hosted open-source alternative to Cursor.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Panniantong/Agent-Reach has accumulated 107,032 GitHub stars and 9,516 forks. It is written in Python, licensed under MIT, and ranks #90 globally. It is actively maintained with the latest commit recorded on Oct 25, 2026.”
Repository Panniantong/Agent-Reach ↗
Primary Category agent infrastructure
Language & Stack Python
Software License MIT
Community Traction ★ 107K stars · ⑂ 9.5K forks · #90 globally
Maintenance ● Active (Last commit: Oct 25, 2026) · 275 open issues
Replaces SaaS Open Source Cursor Alternative ($20/month per user) →
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: 90/100 · Grade A
✅
Is Agent-Reach actively maintained in 2026?
Verdict: Actively Maintained

Yes, Agent-Reach is actively maintained. Continuous telemetry recorded the last code commit on Oct 25, 2026 (18 days ago). Supported by 107,032 stars and 9,516 community forks, this repository holds a calculated health index of 90/100, reflecting regular maintenance (18 days ago) and active community feedback (275 open).

Commit Recency
Oct 25, 2026
18 days since last push
Issue Backlog
275 Open Issues
Active Community Feedback (275 open)
Community Backing
9.5K Forks
107K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Panniantong/Agent-Reach
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Momentum

+19.8K

STARS · LAST 30 DAYS

659

PER DAY

#22

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+19.8K+59.3K
Per day1659659
Forks gained+0+1.8K+476

Agent-Reach gained 19.8K stars in the last 30 days, about 659 a day, and now has 107K. It is about 1 year old and has averaged roughly 107K stars a year. It ranks #22 among Python repositories and #90 across all languages on GitHubRepo.

Trending Record

Agent-Reach has maintained a continuous presence across global trending indexes, peaking at #5. Below is the 30-day activity profile:

💡 Overview

Agent-Reach is an open-source project written in Python: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 Agent-Reach

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Agent-Reach 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

Production System Integration

Embed Agent-Reach into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open source license.

🚀 Getting Started

1

Install Agent-Reach using your package manager: `pip install Agent-Reach`

2

Initialize your project workspace or configuration file for Agent-Reach.

3

Import Agent-Reach into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 107,032 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source 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 Cursor Replaces proprietary subscriptions ($20/month per user) with self-hosted freedom.
Explore all Cursor alternatives →
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A collective list of free APIs

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The agent that grows with you

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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

Panniantong/Agent-Reach is currently ranked #90 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#85 sherlock-project/sherlock Python ★ 109.6K Compare ↗
#86 Leonxlnx/taste-skill JavaScript ★ 109.4K Compare ↗
#87 axios/axios JavaScript ★ 109.4K Compare ↗
#88 denoland/deno Rust ★ 108.9K Compare ↗
#89 google-gemini/gemini-cli TypeScript ★ 108.7K Compare ↗
#90 Panniantong/Agent-Reach This Project Python ★ 107K
#91 nexu-io/open-design TypeScript ★ 105.4K Compare ↗
#92 microsoft/terminal C++ ★ 105.3K Compare ↗
#93 debpalash/VoiceStudio Python ★ 105.3K Compare ↗
#94 fastapi/fastapi Python ★ 104.5K Compare ↗
#95 ruvnet/RuView Rust ★ 102.2K Compare ↗
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Frequently Asked Questions

What does Agent-Reach do? +

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Is Agent-Reach actively maintained in 2026? +

Yes, Agent-Reach is actively maintained. The latest code push was recorded on Oct 25, 2026 (18 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 107,032 stars and 275 open issues.

What language is Agent-Reach written in? +

The primary language is Python. Topics include: agent-infrastructure, ai-agent, ai-search, automation, bilibili.

How many stars does Agent-Reach have? +

Agent-Reach has 107,032 stars and 9,516 forks on GitHub.

How does Agent-Reach rank among GitHub repositories? +

With 107,032 stars, Panniantong/Agent-Reach is ranked #90 globally across all repositories tracked on GitHubRepo and #22 among Python projects.

What license is Agent-Reach distributed under? +

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

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