agentica-server

Configure and manage the Agentica server with a local Claude proxy.

3.9k|296|Updated Dec 23, 2025
One-click install
npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill agentica-server-parcadei
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentica-server
Source: https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/agentica-server
Command: npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill agentica-server-parcadei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide for setting up and running the Agentica SDK with a local Claude proxy, enabling Python agents to leverage the Claude CLI as their inference backend.

Core Features & Use Cases

  • Environment Setup: Detailed instructions for starting the Claude proxy and Agentica server in the correct order.
  • Troubleshooting: Common errors and their fixes, including connection issues, module not found, and tool access problems.
  • Architecture Overview: Clear diagram illustrating the flow from Agentica SDK to Claude CLI.
  • Use Case: Developers can use this skill to quickly establish a local development environment for building and testing Claude-powered Python agents.

Quick Start

Follow the startup sequence to launch the Claude proxy, Agentica server, and your agent script in separate terminals.

Frequently Asked Questions about agentica-server

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure a local Claude proxy for Python agent development?

To configure a local Claude proxy for Python agent development, you must start the Claude proxy, Agentica server, and agent script in separate terminals following the correct startup sequence. This enables LLM inference via the Claude CLI.

Why does the Agentica server fail to connect to the Claude CLI?

The Agentica server fails to connect to the Claude CLI due to incorrect startup sequences or connection misconfigurations. You can resolve these common errors and tool access problems by following the specific troubleshooting steps for the proxy setup.

What is the architecture flow for the Agentica SDK and Claude CLI integration?

The architecture flow for the Agentica SDK and Claude CLI integration routes requests from the Agentica SDK through the Agentica server and local Claude proxy, ultimately facilitating LLM inference via the Claude CLI for Python agent execution.

Can I use the Agentica SDK with the Claude CLI as an inference backend?

Yes, you can use the Agentica SDK with the Claude CLI as an inference backend. This setup leverages a local Claude proxy to handle the communication, enabling Python agents to execute LLM inference directly through the Claude CLI environment.

How to fix module not found errors when starting the Agentica server?

To fix module not found errors when starting the Agentica server, follow the provided troubleshooting guide which addresses common connection issues, module not found problems, and tool access errors specific to the Claude proxy integration.

What's the best way to run an Agentica server and Claude proxy in a local development environment?

The best way to run an Agentica server and Claude proxy in a local development environment is to launch the Claude proxy, Agentica server, and agent script in separate terminals, ensuring the correct startup sequence for seamless integration.