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Looking to build your first agent? Jump to the [About](/creating-your-first-agent.md) section!
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### Agentforce Alternative
Seamlessly integrated with Corteza Low-Code (the open-source Salesforce alternative), @Human Agentic is a multi-agent framework delivered in 100% open-source code (Apache v2.0 license).
### No Limits, No Lock-in
@Human Agentic is intended to drive the costs of using AI down as far as possible. There are no limits on users, agent count, automations, third-party connections or applications
### AI Safety to the Forefront
LLM AI technology is extraordinary, but the models' fundamental architectures usually depend on probability. @Human has many features which foster greater AI safety and outcomes.
@Human is not an LLM (Large Language Model e.g. Mistral, Claude, OpenAI) itself, but rather a layer which sits above or in front of your choice of LLM provider. From this perspective, it can be viewed as a set of meaningful, if ever evolving, constraints on LLM behaviour.
For more information, please see the following sections on [AI Safety](/human-agents/ai-safety.md) and the [Treaty Compliance Layer (TCL)](/human-agents/treaty-compliance-layer-tcl.md).
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# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.planetcrust.com/human-agents/what-is-human-agentic.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.