Agent Reach
An open-source network access scheduling tool for AI Agents. It functions as a scheduling layer that connects AI Agents to multiple internet platforms, supports automatic failover switching across multiple backends, and includes a built-in health-check mechanism.
Timeline (last 90 days)
Agent Reach currently covers 16 platforms, including information sources such as web scraping, YouTube captions, RSS feeds, full-web search, and GitHub.
Platforms such as Twitter and Xiaohongshu require a Cookie or Token for access, and login credentials must be configured in Agent Reach.
Agent Reach is not responsible for scraping, but rather for selection, installation, health checks, and routing, leaving the actual scraping work to underlying ready-made tools.
Agent Reach uses a multi-backend architecture with automatic fallback, where each platform has a prioritized list of backends, automatically switching to a backup when the primary option fails.
Agent Reach stores all Cookies and Tokens only on the user's local machine, never uploading or transmitting them externally, and all code is fully open-source and auditable.
After adopting a unified scheduling layer, the maintenance cost of platform adaptation drops from O(number of Agents × number of platforms) to O(number of platforms).
All Facts (6)
Agent Reach currently covers 16 platforms, including information sources such as web scraping, YouTube captions, RSS feeds, full-web search, and GitHub.
50%UnverifiedPlatforms such as Twitter and Xiaohongshu require a Cookie or Token for access, and login credentials must be configured in Agent Reach.
50%UnverifiedAgent Reach is not responsible for scraping, but rather for selection, installation, health checks, and routing, leaving the actual scraping work to underlying ready-made tools.
50%UnverifiedAgent Reach uses a multi-backend architecture with automatic fallback, where each platform has a prioritized list of backends, automatically switching to a backup when the primary option fails.
50%UnverifiedAgent Reach stores all Cookies and Tokens only on the user's local machine, never uploading or transmitting them externally, and all code is fully open-source and auditable.
50%UnverifiedAfter adopting a unified scheduling layer, the maintenance cost of platform adaptation drops from O(number of Agents × number of platforms) to O(number of platforms).
50%