Agent-Reach hits 103,555 stars by giving AI agents a free way into Twitter, Reddit and YouTube: Reveneau

Why it mattersMost paid APIs for these sites cost hundreds of dollars a month. A free CLI that an agent can call changes which agent workloads a team can afford.

The X API alone starts at 200 dollars a month. A product manager wants an AI agent to track three social sites. The agent itself may cost less than those three API fees. The alternative is a free tool.

Agent-Reach is a free MIT CLI. GitHub's own API returns 103,555 stars on 27 October 2026. Trendshift ranks it 21st on its daily list the same day. The repository has 9,187 forks and 253 open issues. It was created on 24 February 2026. The star count ran up in about eight months.

What it does

The repository description tells readers to give an AI agent eyes to see the entire internet. It names Twitter, Reddit, YouTube, GitHub, Bilibili and XiaoHongShu as the sites one CLI can read, with zero API fees. The code lists three groups of sites. The default list has Bilibili, V2EX, GitHub, YouTube and general web search. The optional list adds XiaoHongShu, Xueqiu, Boss, LinkedIn and Reddit. An experimental list adds Twitter, Facebook and Instagram.

Named features in the README include video transcription and subtitle extraction. The tool also parses structured data such as stock quotes and GitHub issues. It can read content that normally sits behind a login. The CLI runs a browser when a site needs one, the README says.

How it avoids per-API fees

Each site's integration uses either a public endpoint or a browser. There is no central API key to buy. The author's wording for the trade is: "Zero API fees." A user pays only the compute cost of running the CLI. The site owners get nothing. The project installs as one command and keeps its configuration in a single directory.

A tool-chooser inside Agent-Reach picks the right integration for each query and falls back when one fails, the README says. That matters when a site changes its page, which is the main failure mode for every scraper of this kind.

What makes it a story

Taste in trending repositories moves fast. A tool with 103,555 stars in eight months stands out in the numbers from GitHub's own API. The audience is not only engineers. A marketer can tell an agent to check Reddit threads for her brand. A founder can tell an agent to pull a competitor's YouTube transcript. Both are one command away.

The honest trade

An agent that depends on scraping is only as stable as the scrape. Every site named here can change its page. Every site named here has terms of service that may limit automated access. The MIT licence covers the Agent-Reach code, not the content it reads. A team planning to use this tool for client work should read each site's terms. The reading matters more than the licence.

Source

Primary source: Agent-Reach on GitHub.
GitHub API: repository metadata, read 27 October 2026.

This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.