Agent Reach
github.com/panniantong/agent-reach- Category
- AI Agents
- Rank
- No. 272Tools index
- Type
- APP
- Builder
- panniantong
- GitHub
- 81.9k stars
- Latest release
- v1.5.0
- Date
About
Gives AI agents eyes on the open internet — read and search Twitter, Reddit, and the web in real time.
What it does
Agent Reach sets up and checks a collection of upstream internet tools for command-capable AI agents. It chooses preferred and fallback backends by platform, verifies that they actually run, reports failures with repair guidance, and lets the agent call each upstream tool directly.
Why it's ranked here
The strongest case for Agent Reach is operational convenience, not a novel retrieval engine. Its installer, ordered backend choices, health checks, and repair guidance address the tedious parts of assembling many platform tools. The value drops when authentication, browser sessions, proxies, or changing platform restrictions dominate the workflow.
What's good
Health checks execute candidate tools instead of merely checking whether commands exist. Safe mode inspects the machine without writing configuration or installing system dependencies. Optional channels require explicit selection, credentials stay local, and several platforms have ordered fallback backends rather than one brittle integration.
Tradeoffs
It depends heavily on separate projects, platform behavior, and user-controlled login state. Reddit has no anonymous route. Several social networks require cookies or an existing Chrome session, and server use may require a proxy. Twitter credentials saved for diagnostics still need explicit environment variables when invoking its upstream tool. Cookie-based access also carries account restriction and credential exposure risks.
How to use it well
Use it when a command-capable coding agent needs repeatable setup across web pages, video transcripts, feeds, repositories, search, and selected social platforms. Start with the read-only check, enable only needed channels, then use diagnostics after installation or updates. It does not replace a general scraper or provide the underlying retrieval layer itself.
Technical notes+
pyproject.toml defines a Python 3.10+ Hatchling package and the agent-reach CLI entry point at agent_reach.cli:main. agent_reach/cli.py implements install, configure, doctor, uninstall, skill, transcription, update checking, and watch commands; installation is check-only unless --system is supplied. agent_reach/probe.py resolves commands, executes side-effect-free probes, and distinguishes missing, broken, timeout, and error states. agent_reach/config.py stores YAML under ~/.agent-reach, rejects symlinked credential paths, limits configuration size, writes atomically with owner-only permissions on non-Windows systems, and masks sensitive values when exporting configuration. docs/install.md states that agents invoke upstream tools directly, while docs/update.md preserves existing tools and verifies channels after updates.
Observed
- License
- MIT
- Primary language
- Python
- Python support
- Python 3.10 or newer
- Packaging
- Hatchling-built Python package installed from the GitHub repository archive via pipx, pip, or a virtual environment
- Interfaces
- Command-line interface, Python health-check class, agent Skill integration, and MCP-backed upstream services
- Agent compatibility
- Designed for AI agents that can execute shell commands
- Platform coverage
- Includes channels for web pages, YouTube, RSS, web search, GitHub, Twitter, Bilibili, Reddit, Facebook, Instagram, XiaoHongShu, LinkedIn, V2EX, Xueqiu, and podcast transcription
Read from README.md, pyproject.toml, docs/update.md, docs/install.md, docs/README_en.md, docs/README_ja.md, docs/README_ko.md, docs/cookie-export.md, docs/troubleshooting.md, docs/dependency-locking.md, agent_reach/cli.py, agent_reach/core.py, agent_reach/probe.py, agent_reach/config.py.
Tech Stack
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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.