Tiger — Agent Tool by Upsonic

by Upsonic · Agent Tool · ★ 463

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About Tiger

Tiger: Neuralink for your AI Agents Setup • Integrations: crewAI Integration • LangChain Integration • AutoGen Integration • Telegram Integration • Sources: Currently Tools • Custom Tools (On-Prem Docker) • Public Dashboard • What is Tiger? Tiger is a community-driven project developing a reusable and integrated tool ecosystem for LLM Agent Revolution. It utilizes Upsonic for isolated tool storage, profillibg and for the automatic generation of documents. With Tiger, you can create a customized environment for your agents or leverage the robust and publicly maintained Tiger 🐅 curated by the community itself. Details Tiger, influenced by Neuralink, provides an AI-oriented computer interface with threads connected to the LLM interface. It offers a platform for AIs to control a computer by simply 'thinking'. With Tiger, your LLM agents can write and execute code, use search engines, manage your calendar, control your mo

agentaifunction-callingllmneuralinktools

Quick Facts

Stars463
Forks41
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score40.25/100
Open Issues3
Last Updated2025-02-19
Created2024-04-05
Platformspython
Est. Tokens~485k

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Frequently Asked Questions

What is Tiger?

Tiger is Neuralink for your AI Agents - LangChain - Autogen - CrewAI. It is categorized as a Agent Tool with 463 GitHub stars.

What programming language is Tiger written in?

Tiger is primarily written in Python. It covers topics such as agent, ai, function-calling.

How do I install or use Tiger?

You can find installation instructions and usage details in the Tiger GitHub repository at github.com/Upsonic/Tiger. The project has 463 stars and 41 forks, indicating an active community.

What license does Tiger use?

Tiger is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Tiger?

The top alternatives to Tiger on Agent Skills Hub include awesome-ai-sdks, blade-code, ai-agent-tools-catalog. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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