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.
- 01
Emerging tool with potential stability issues
Relatively new with a creation date of April 2023.
- 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.
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