Agent Reach
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu - one CLI, zero API fees.
Our verdict
A usable project with some maintenance caveats. This assessment is derived from GitHub's own repository metrics on 2026-10-22, not from hands-on testing.
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu - one CLI, zero API fees. The project is written primarily in Python, released under MIT, and has 100,788 stars and 8,875 forks on GitHub. 36 contributors have committed to it, and the most recent push was 2026-10-20. The latest tagged release is v1.5.0 (2026-06-11). Figures come from the GitHub API on 2026-10-22 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Reviewed by AI Review Rating from GitHub API data How we score
Repository
- Licence
- MIT
- Language
- Python
- Last push
- 2026-10-20
Releases
-
v1.5.0v1.5.0 - 能力层:多后端路由 + 真体检 + OpenCLI -
v1.4.2v1.4.2 - 诚实瘦身：移除失修渠道，新增转写与 doctor -json -
v1.4.1v1.4.1 - 修复源码安装失败(wheel 重复打包) -
v1.4.0v1.4.0 - 上游大迁移：更稳定、更简单、更可靠 -
v1.3.0v1.3.0 - WeChat 公众号 + Windows 修复 -
v1.2.0v1.2.0 - 新增抖音，移除 Instagram
Pros and cons
Pros
Pricing
- Free tierYes
- LicenceMIT
- Self-hostYes, source is public
- Public price listNot published
Agent Reach does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales. Why we do this
Visit github.comTrends
Price points are recorded when a price moves, not on a schedule, so a flat run means the price held. Release cadence comes from GitHub releases. A series appears only once we have watched it for long enough to have more than one observation.
User reviews
No one has reviewed Agent Reach here yet. Reviews are moderated before they appear, and our own score is editorial and separate from user ratings, though once reviews land they do lift it.
Used Agent Reach? Review it.
Sign in to rate it. One account, one review per tool, so the score means something.
Requiring an account is how we keep this page free of drive-by spam. We never sell your address.
Agent Reach alternatives
Spec Kit
💫 Toolkit to help you get started with SDD…
🥈 
Supabase
The Postgres development platform. Supabase gives you a dedicated…
🥉 
Gemini CLI
An open-source AI agent that brings the power of…
Agent Skills
Production-grade engineering skills for AI coding agents.
Context7
Context7 Platform - Up-to-date code documentation for LLMs and…
OpenHands
🙌 OpenHands: AI-Driven Development
Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| Agent Reach this page | 7.2 | - | Yes | ||
| 🥇Spec Kit | 8 | - | Yes | ||
| 🥈Supabase | 8 | - | Yes | ||
| 🥉Gemini CLI | 7.8 | - | Yes | ||
| Agent Skills | 7.7 | - | Yes | ||
| Context7 | 7.7 | - | Yes | ||
| OpenHands | 7.7 | - | Yes |
Questions
Is Agent-Reach free?
Yes. Agent-Reach advertises a free tier on its own site.
How much does Agent-Reach cost?
Agent-Reach does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales.
Is Agent-Reach open source?
Yes. Agent-Reach is a public repository released under MIT. You can self-host or inspect the source directly.
How is Agent-Reach scored here?
Agent-Reach scores 7.2 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.