Where to Find Agent-Reach Documentation: Complete Guide to Repository Files and API Reference
Agent-Reach documentation is maintained entirely within the Panniantong/Agent-Reach GitHub repository and includes the top-level README.md, the docs/ directory for installation and troubleshooting, and the agent_reach/guides/ folder for platform-specific setup instructions.
Agent-Reach is an open-source automation framework that consolidates its documentation alongside its source code. Whether you are configuring credentials for social media platforms or troubleshooting connection issues, all Agent-Reach documentation lives in version-controlled Markdown files within the repository, ensuring every release ships with matching guidance.
Main Documentation Entry Points
The documentation is organized into four primary locations, each serving distinct purposes from high-level overviews to detailed platform configuration steps.
Root README and Quick Start
The README.md file at the repository root serves as the primary entry point. It contains the project overview, installation steps, quick-start commands, and high-level CLI usage instructions. For international users, localized versions reside in the docs/ directory as docs/README_en.md, docs/README_ko.md, and docs/README_ja.md.
The docs/ Directory
The docs/ folder contains comprehensive guides covering installation and operational workflows:
docs/install.md– Complete installation guide and dependency setupdocs/dependency-locking.md– Instructions for locking Python dependencies to ensure reproducible buildsdocs/cookie-export.md– Required reading for platforms like Twitter and Xiaohongshu that need browser cookie extractiondocs/troubleshooting.md– Diagnostic steps for common connectivity and authentication failures
Platform-Specific Setup Guides
Located in agent_reach/guides/, these files provide step-by-step configuration for individual platforms. For example, agent_reach/guides/setup-twitter.md walks through Twitter/X API credential configuration, while adjacent files cover Reddit, Xiaohongshu, Exa, and Groq integrations.
Skill Reference Files
The agent_reach/skill/ directory contains reference documentation used directly by the CLI, such as agent_reach/skill/SKILL_en.md. These files define the operational capabilities and command schemas available to the agent runtime.
Source Code Documentation Structure
Beyond Markdown guides, the Python source files contain inline documentation and docstrings that explain the internal architecture. Key modules include:
agent_reach/cli.py– Entry point for the command-line interface, handling argument parsing and command dispatchagent_reach/core.py– Core routing logic that determines which platform channel handles a specific requestagent_reach/config.py– YAML-based configuration management and environment variable override handlingagent_reach/doctor.py– Diagnostic engine that verifies platform connectivity and token validityagent_reach/channels/base.py– Abstract base class that all platform channels (Twitter, Reddit, YouTube) inherit fromagent_reach/channels/*.py– Individual platform implementations (e.g.,agent_reach/channels/twitter.py) containing platform-specific search and interaction methods
Essential CLI Commands and Usage Examples
The documentation references several diagnostic and operational commands. These examples assume you have cloned the repository or installed the package via pip.
Verify your environment configuration using the built-in diagnostic tool:
# Run the doctor command to check platform connectivity
python -m agent_reach.cli doctor
Configure platform credentials automatically from environment variables:
# Auto-configure environment variables for supported platforms
python -m agent_reach.cli install --env=auto
Execute a search operation on a supported platform:
# Search YouTube for "Python tutorials"
python -m agent_reach.cli search youtube "Python tutorials"
The search functionality is implemented in agent_reach/core.py, with each platform channel providing its own search method in files like agent_reach/channels/youtube.py.
Summary
- Agent-Reach documentation is repository-native, residing in Markdown files alongside the Python source code.
- Start with
README.mdfor overview and quick-start, then consultdocs/install.mdfor detailed setup. - Platform-specific credential setup is documented in
agent_reach/guides/setup-<platform>.mdfiles. - Troubleshooting steps and cookie-export instructions are located in
docs/troubleshooting.mdanddocs/cookie-export.md. - Source code in
agent_reach/cli.py,agent_reach/core.py, and channel implementations serves as authoritative API reference.
Frequently Asked Questions
Is Agent-Reach documentation hosted on an external website like Read the Docs?
No, all documentation is maintained within the GitHub repository itself. Files like README.md, the docs/ directory, and agent_reach/guides/ are version-controlled alongside the code, ensuring the documentation version always matches your installed release.
How do I find setup instructions for specific platforms like Twitter or Reddit?
Navigate to the agent_reach/guides/ directory. Each supported platform has a dedicated Markdown file (e.g., setup-twitter.md for Twitter/X) containing step-by-step credential configuration and authentication requirements.
Where is the troubleshooting documentation located?
Common issues and diagnostic steps are documented in docs/troubleshooting.md. Additionally, the agent_reach/doctor.py module implements a CLI command (python -m agent_reach.cli doctor) that performs automated connectivity checks based on the documented troubleshooting logic.
Does the documentation include code examples for the Python API?
Yes, the docs/ directory and source files contain executable examples. The CLI commands shown in README.md and docs/install.md demonstrate practical usage, while the agent_reach/channels/ implementations provide reference patterns for programmatic API interaction.
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