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evolve-dev

Build and run AI agents in secure sandboxes with TypeScript and Python SDKs.

76|3|Updated Jan 20, 2026
Search Tags:#typescript#python#sdk#agents#pipeline#swarm#evolve
One-click install
npx skills add https://github.com/evolving-machines-lab/evolve --skill evolve-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: evolve-dev
Source: https://github.com/evolving-machines-lab/evolve/tree/main/skills/evolve-dev
Command: npx skills add https://github.com/evolving-machines-lab/evolve --skill evolve-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Evolve SDK development guides engineers in building and deploying AI agents in secure sandboxes, covering both TypeScript and Python SDKs.

Core Features & Use Cases

  • Cross-language SDKs (TypeScript and Python) with consistent APIs
  • Swarm and Pipeline abstractions for parallel or chained agent workflows
  • Observability, Composio integrations, and MCP tool support
  • Structured output and schema-driven results for reliable downstream processing

Quick Start

Install the SDK for your language and initialize a simple Evolve agent in a sandbox to execute a basic task.

Frequently Asked Questions about evolve-dev

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

FAQPage Schema
How do I build and run AI agents in a secure sandbox?▼

To build AI agents in a secure sandbox, use a unified SDK to configure single-agent runs, Swarm parallelism, or Pipelines across TypeScript and Python workflows, ensuring isolated execution and structured output.

Can I execute parallel AI agent workflows using TypeScript and Python?▼

Yes, you can execute parallel AI agent workflows using Swarm abstractions in TypeScript and Python SDKs, enabling simultaneous multi-agent processing for diverse use cases like data processing and tool orchestration.

What is the best way to chain multiple AI agents for data processing?▼

The best way to chain multiple AI agents for data processing is using Pipeline abstractions, which allow you to link sequential agent workflows across TypeScript and Python environments with structured, schema-driven results.

Does the SDK support structured output for downstream processing?▼

Yes, the SDK supports structured output and schema-driven results, ensuring reliable downstream processing and consistent API responses when integrating agents into your TypeScript or Python development workflows.

How do I integrate observability and external tools into AI agents?▼

You integrate observability and external tools into AI agents by leveraging built-in SDK support for Composio integrations and MCP tools, allowing comprehensive monitoring and tool orchestration within your agent pipelines.

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