KI-Agenten
Monid
Monid — OpenRouter for agent tools: one base URL and one key give an agent 2,000+ tools across 72+ providers
★ 4,2 Tsd. SterneMIT
Anleitung ansehen →Agent-Reach ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von Panniantong (Panniantong/Agent-Reach auf GitHub). Es hat 94.005 Sterne auf GitHub und 8.224 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
Decide what you want from Agent-Reach and check the README and requirements to confirm it fits your setup and Python environment.
Clone the repository from GitHub (github.com/Panniantong/Agent-Reach) or use the documented install channel if you do not need the source.
Follow the README quickstart to install dependencies and set any required configuration or credentials.
Work through the README's first example end to end, then adapt it to your own project or data.
Read and search Twitter, Reddit, YouTube, GitHub, Bilibili and XiaoHongShu from one CLI.
Designed to work without paid platform API fees, per the project description.
Each platform has an ordered list of preferred and fallback backends, per the design notes.
Usable as a CLI tool and alongside MCP-based agent setups.
Built for Claude Code, Cursor and other agents that need live web content.
The README includes explicit cookie-safety advice for platforms that need login state.
Start by getting the source and entering the project directory.
git clone https://github.com/Panniantong/Agent-Reach.git
cd Agent-ReachClone and follow the README's installation section for the Python package.
# see README for the exact command — installation sectionUse the CLI to search or read a platform, for example fetching a YouTube transcript or a Reddit thread.
agent-reach # see README for the exact command syntaxIt is maintained by Panniantong and contributors on GitHub, where the repository github.com/Panniantong/Agent-Reach is the canonical home for code, issues and releases.
Yes — it is open source under the MIT license. Read the license in the repository for what is permitted, including any conditions on redistribution or commercial use.
No paid API keys are required by design, though some platforms may need your own login cookies, as the README's safety notes explain.
Compared with official platform APIs: Agent Reach avoids paid API tiers by using ordered alternative backends per platform, at the cost of more moving parts.
Clone github.com/Panniantong/Agent-Reach, follow the README quickstart to install it, and run the documented first example before adapting it to your own work.
Monid — OpenRouter for agent tools: one base URL and one key give an agent 2,000+ tools across 72+ providers
Give it a GitHub issue and it tries to fix the code for you - the original SWE-bench agent
A lightweight, container-isolated personal AI agent for WhatsApp, Telegram, Slack and more
A CLI that writes and maintains agent-ready docs for your codebase.
iFLYTEK's enterprise agentic workflow platform — SuperAgents with workflows, RPA and one-click deploy.
ZCode — Z.ai's AI coding workspace: desktop app, browser interface and terminal agent in one open-source harness
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls Agent-Reach nicht das Richtige ist.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die Agent-Reach bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Give your coding agents a persistent memory that survives every session.
The official collection of reference Model Context Protocol servers.
Multi-agent LLM framework that mirrors a trading firm: analysts, researchers, trader and risk team
Open-source AI-driven development platform: autonomous software agents in a sandbox
A TypeScript toolkit for building agents: unified LLM API, loop, TUI, and CLI.
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.