Unified interface for constructing and managing workflows on different workflow engines.
Open source
24 alternativesAgent-LLM
AGiXT orchestrates AI agents, instructions, and complex task execution across AI providers.
About Agent-LLM
Agent-LLM is the GitHub repository for AGiXT, an open-source platform for instruction management and task execution across AI providers. It works with OpenAI, Anthropic, Google, Azure, and local models, and provides 40+ extensions, workflow chaining, and natural-language control for uses such as smart home devices, enterprise workflows, and application development.
Installation starts with pip install agixt and agixt start, with detailed configuration described on the separate documentation site at docs.agixt.com.
Key features
- Works with OpenAI, Anthropic, Google, Azure, and local models
- Includes 40+ extensions for vehicle control and asset management
- Chains multiple services into automation sequences
- Manages systems through natural language interactions
- Uses WebSockets, webhooks, and live data feeds
- Installs with pip install agixt and agixt start
Best for: Developers and teams building Python-based AI agents and multi-service workflow automations.
Good for
- Open source under MIT license
- Supports multiple commercial providers and local models
- Provides 40+ built-in extensions
Agent-LLM at a glance
- Website
- github.com/Josh-XT/Agent-LLM
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Agent-LLM FAQ
How do I install and start AGiXT?
Run pip install agixt followed by agixt start, and see docs.agixt.com for configuration details.
Which AI providers are supported?
OpenAI, Anthropic, Google, Azure, local models, and more.
Where is the documentation?
On the central documentation site at docs.agixt.com.
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