agere — Agent Tool by happyapplehorse

by happyapplehorse · Agent Tool · ★ 161

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About agere

Agere Agere is a lightweight framework for building agents, with no third-party dependencies. Its features are universality and complete customizability. It simplifies the process of building agents with complex logic by breaking down a complicated workflow into a series of independent, small steps, which also facilitates future expansion or modification of its functionalities. Agere is the Latin etymology for "agent", frequently translated as "to act" or "to do", with the implication of "driving" and "propelling something forward".

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Quick Facts

Stars161
Forks13
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score72.0426817764264/100
Last Updated2024-07-03
Created2023-11-15
Platformspython
Est. Tokens~9k

agere alternative? Top 6 similar tools

Looking for a agere alternative? If you're comparing agere with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is agere?

agere is The tool is used for building and driving workflows specifically tailored for AI initiatives. It can be used to construct AI agents.. It is categorized as a Agent Tool with 161 GitHub stars.

What programming language is agere written in?

agere is primarily written in Python. It covers topics such as agent, ai, framwork.

How do I install or use agere?

You can find installation instructions and usage details in the agere GitHub repository at github.com/happyapplehorse/agere. The project has 161 stars and 13 forks, indicating an active community.

What license does agere use?

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

What are the best alternatives to agere?

The top alternatives to agere on Agent Skills Hub include context-space, wren-engine, python-utcp. 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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