// Agent profile
Agent-Reach (Panniantong/Agent-Reach) gives AI agents eyes on the live web by orchestrating platform connectors for 16+ sources including Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, Weibo, WeChat articles, LinkedIn, Instagram, V2EX, RSS, and general web search via Exa. At 41K GitHub stars (+1,430/day), it's one of the fastest-growing agent tools in 2026. One CLI command installs and configures the most reliable access path for each platform — cookie auth, public scraping, or free MCP services — with automatic fallback switching when one path dies. Includes health checks, per-channel configuration (cookie import, proxy, browser extraction), and environment auto-detection for Node.js, mcporter, xreach, gh, yt-dlp, and feedparser.
Agent-Reach solves the access problem that blocks most AI agent workflows: social platforms lock content behind APIs with escalating costs, throttled rate limits, and restrictive terms. Instead of requiring API keys for each platform, Agent-Reach orchestrates the most reliable free access path — cookie auth, public scraping, or free MCP services like Exa and Jina Reader — and auto-switches to fallback backends when one dies.
The core value is operational simplicity. A single CLI command detects your environment, installs required connectors, and configures access for all supported platforms. Per-channel configuration supports cookie import from browsers, proxy routing, and extraction settings. The doctor command audits which channels are active and healthy, while watch monitors for access path degradation. Supports 16+ platforms spanning Western social media (Twitter/X, Reddit, YouTube, LinkedIn, Instagram), Chinese platforms (Bilibili, XiaoHongShu, Douyin, Weibo, WeChat), developer platforms (GitHub, V2EX), and general web (RSS, Exa search).
Agent-Reach fits teams building research agents, content monitoring pipelines, or cross-platform intelligence gathering. It eliminates the per-platform integration work that typically gates multi-source agent workflows. Pairs with any MCP-compatible agent harness — Claude Code, PI Agent, or custom orchestrations. The zero-API-fee model makes it particularly attractive for indie developers and small teams running local agent stacks where per-call API costs would be prohibitive.
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