Develop Python AI agents with the Agentica SDK using decorators and spawn().
npx skills add https://github.com/scooter-lacroix/Maestro --skill agentica-sdk
Please help me install this Agent Skill. Skill: agentica-sdk Source: https://github.com/scooter-lacroix/Maestro/tree/main/maestro/skills/agentica-sdk Command: npx skills add https://github.com/scooter-lacroix/Maestro --skill agentica-sdk
This Skill simplifies the creation and management of AI agents in Python, enabling developers to build sophisticated multi-agent systems with features like state persistence, tool integration, and advanced model selection.
@agentic decorator for simple function-like agents.spawn() for greater control over premise, scope, and model.Use the agentica-sdk skill to create a simple agent that adds two numbers.
High-intent search queries and answers about installing and using this skill.
To build a Python multi-agent system, you can use the Agentica SDK to define agents with the @agentic decorator for simple functions or spawn() for complex agents needing custom premises and model selection.
Adding memory and state persistence to Python AI agents is supported natively by Agentica SDK, enabling agents to remember conversation history and maintain state across multiple calls automatically.
Yes, Agentica SDK supports tool integration and MCP integration, allowing you to pass tools and functions into agent scopes and connect to external tool servers for extended capabilities.
The best way to scope tools for different LLM agents is using Agentica SDK's flexible tool scoping features, which allow fine-grained control over which tools specific agents can access during execution.
Yes, you can enforce typed outputs from Python AI agents using Agentica SDK, which provides native support for typed outputs to ensure agents return structured and predictable data formats.
Instantiating multiple AI agents in Python is done using the Agentica SDK's spawn() function, which provides granular control over each agent's premise, scope, model selection, and token limits.
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