Panniantong/Agent-Reach

Project overview

Agent Reach gives AI agents a capability layer for reading and searching content across internet platforms without paid API keys. It selects and maintains stable access methods for platforms affected by API paywalls, IP blocks, and anti-scraping measures.

Project type

MCP · AI Agent · AI Search

Use cases

Knowledge Q&A · Search & Research · Automation

Deployment

Refer to project documentation

License

MIT

Best for

• Developers and general users running AI agents locally who need to retrieve web content without configuring paid API keys.

Key capabilities

• Provides a 'doctor' command that tests each channel and reports which backend is currently in use and how to fix broken ones.
• Each platform uses a preferred and fallback ordered list of backends, switching automatically if one fails.
• Provides a safe mode that does not automatically install system packages, and a dry-run mode to preview operations.
• Registers a SKILL.md in the agent's skills directory so the agent automatically knows which upstream tool to call.

Limitations and risks

• It is a capability layer for reading content, not for performing web interactions like form submissions or multi-account isolation.
• Platform anti-scraping or API changes can break specific access methods, requiring routing changes.
• Using cookies to access platforms via scripts/APIs carries a risk of account detection and banning.

Getting started

• Setup is considered easy and does not require coding. Users can initiate setup by providing a one-line install command to an AI agent.

Evidence and sources

• README: pip install 装好 agent-reach 命令行（自带 yt-dlp、feedparser）
• GitHub repository metadata: {"primary_language":"Python"}
• README: 帮我看看这个网页写了啥" → **抓回来一堆 HTML 标签**，根本没法读
• README: 🤖 **兼容所有 Agent** | Claude Code、OpenClaw、Cursor、Windsurf……任何能跑命令行的 Agent 都能用
• README: Agent Reach 是一个能力层（capability layer），不是又一个工具。

Reviewed at: 2026-07-17T06:40:39Z