voltagent-multiagent

Design typed multi-agent systems in TypeScript using categorical patterns.

6|1|Updated Nov 29, 2025
One-click install
npx skills add https://github.com/manutej/categorical-meta-prompting --skill voltagent-multiagent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: voltagent-multiagent
Source: https://github.com/manutej/categorical-meta-prompting/tree/main/.claude/skills/voltagent-multiagent
Command: npx skills add https://github.com/manutej/categorical-meta-prompting --skill voltagent-multiagent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

VoltAgent enables scalable, typed multi-agent coordination in TypeScript by applying categorical patterns to compose and supervise agents. It provides a clear design for supervisor-worker hierarchies, handoffs, and memory integration.

Core Features & Use Cases

  • Typed agent coordination: Build supervisor-worker architectures with typed messages and schemas.
  • Composable pipelines: Use natural transformations and functors to chain agents.
  • Tooling and integration: Integrates with @voltagent/core for practical multi-agent systems.
  • Use Case: Architect a research assistant team where a researcher agent gathers facts, a writer agent composes articles, and a reviewer agent finalizes output.

Quick Start

Install the VoltAgent core package and initialize a supervisor to orchestrate two agents. Then run a simple task to demonstrate coordinated execution.

Frequently Asked Questions about voltagent-multiagent

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

FAQPage Schema
How do I coordinate typed agents in TypeScript using categorical patterns?

Coordinate typed agents in TypeScript by applying categorical patterns through supervisor-worker architectures and handoffs. This approach enforces type-safe inputs and outputs using schemas, relying on @voltagent/core for coordination primitives.

How do I build a supervisor-worker multi-agent architecture for software systems?

Build a supervisor-worker multi-agent architecture by initializing a supervisor to orchestrate multiple agents. This design chains agents through pipeline composition using Kleisli-like patterns to execute coordinated tasks.

What are natural transformations for agent handoffs in TypeScript?

Natural transformations for agent handoffs are categorical patterns used to compose typed agent pipelines. They enable type-safe transitions between agents, allowing a research agent to pass facts to a writer agent for final output.

Does @voltagent/core support parallel agent collaboration?

@voltagent/core supports parallel agent collaboration through its coordination primitives. It enables scalable multi-agent systems by integrating typed messages and memory to manage concurrent agent execution.

When should I use categorical patterns for multi-agent orchestration?

Use categorical patterns for multi-agent orchestration when you need to compose pipelines and enforce type-safe inputs across supervisor-worker hierarchies. This approach solves the complexity of coordinating typed agents in TypeScript software systems.