monika-agent

Configure and operate the Monika AI agent across terminals and messaging gateways.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/thisismynewfmail-ui/Monika-agent --skill monika-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: monika-agent
Source: https://github.com/thisismynewfmail-ui/Monika-agent/tree/main/skills/autonomous-ai-agents/hermes-agent
Command: npx skills add https://github.com/thisismynewfmail-ui/Monika-agent --skill monika-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users need a unified way to configure, operate, and extend the Monika AI agent across terminals and messaging platforms without writing custom code.

Core Features & Use Cases

  • Cross‑platform gateway: Run Monika on Telegram, Discord, Slack, WhatsApp, and more.
  • CLI management: Install, configure, and control Monika via simple commands.
  • Multi‑agent orchestration: Spawn independent agent instances, delegate tasks, and schedule cron jobs.
  • Extensible toolsets: Enable web search, file manipulation, code execution, and voice capabilities.
  • Use case example: A developer can set up Monika to monitor a repository, run automated tests, and post results to Slack.

Quick Start

Ask Monika to install itself, run the interactive setup, and then start a chat session.

Frequently Asked Questions about monika-agent

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

FAQPage Schema
How do I configure a cross-platform AI assistant for messaging gateways like Slack and Discord?

Multi-agent orchestration works by spawning independent agent instances from the CLI, delegating specific tasks to each, and scheduling cron jobs for automated execution. This allows simultaneous management of multiple workflows without writing custom code.

Can I run a CLI-based AI agent on Linux, macOS, and WSL environments?

Yes, you can run this CLI-based AI agent on Linux, macOS, and WSL environments. The tool requires a compatible LLM provider and a configured ~/.monika directory to operate unified AI assistance across these specific platforms.

How do I automate repository monitoring and post test results to Slack?

You automate repository monitoring and test reporting by configuring the agent with file manipulation and terminal toolsets, then scheduling a cron job to run tests and post results directly to Slack. This multi-agent workflow requires no custom code.

What toolsets are available for extending AI agent capabilities in a terminal?

Available toolsets for extending AI agent capabilities include web search, file manipulation, code execution, and voice features. These extensible toolsets allow the agent to perform diverse automated tasks directly from the terminal interface.

Do I need an LLM provider to operate an AI agent via command line?

Yes, a compatible LLM provider is required to operate the AI agent via command line. The provider serves as the core reasoning engine, while the CLI handles installation, configuration, and orchestration of the agent instances.