Agent Frameworks

Agent-LLM

AI Agent Automation Platform for managing tasks across AI providers.

Status
Generally available
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier

What it is

Agent-LLM, also known as AGiXT, is an AI Agent Automation Platform designed to manage and execute complex tasks across various AI providers. It leverages adaptive memory and a versatile plugin system to deliver efficient AI solutions. Written in Python, it supports integration with multiple AI technologies, including OpenAI and Llama, and offers a dynamic approach to instruction management. The platform is open-source under the MIT license and has a growing community of contributors.

Adaptive memory and versatile plugin system for AI task management.

When it fits — and when it doesn’t

A good fit for

  • Developers needing to integrate multiple AI services

    The plugin system allows seamless integration with various AI providers.

  • Teams looking for customizable AI task management

    Open-source nature and plugin architecture support extensive customization.

Look elsewhere if

  • Non-technical users

    Requires programming knowledge, particularly in Python, to set up and use.

  • Organizations needing robust documentation

    Current documentation is limited, which may pose challenges for comprehensive understanding.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Emerging tool with potential stability issues

    Relatively new with a creation date of April 2023.

  2. 02

    Requires Python knowledge

    Primarily developed in Python.

What it does well

  • Versatile plugin system

    Supports integration with multiple AI technologies like OpenAI and Llama.

  • Open-source with MIT license

    Available on GitHub with 3214 stars and 448 forks.

  • Adaptive memory features

    Designed to manage and recall complex instruction sets.

Pricing

Free tier
Yes
Paid from
—
Model
N/A
Enterprise plan
No

Pricing last confirmed Oct 1, 2026.

Performance benchmarks

How Fast Is It?

Set up Agent-LLM

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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