skills.rest
ash-ai-org
ash-ai-orgOFFICIAL
Explore all skills by this author →
GitHub

ash

Deploy and orchestrate hosted AI agents with session management and SSE streaming.

34|2|Updated Feb 18, 2026
Search Tags:#ai agent#streaming#sandbox#ash#sse#multi-turn#deploy agent
One-click install
npx skills add https://github.com/ash-ai-org/ash-ai --skill ash
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ash
Source: https://github.com/ash-ai-org/ash-ai/tree/main/skills/ash
Command: npx skills add https://github.com/ash-ai-org/ash-ai --skill ash

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Ash enables developers to deploy and orchestrate hosted AI agents on a server, providing session management, real-time streaming, sandbox isolation, and persistence so agents can be used in production without building infrastructure.

Core Features & Use Cases

  • Deploy agents to a server and manage sessions (create, pause, resume, end) via a production API with REST and SSE streaming.
  • Enable real-time streaming of agent output, support multi-turn conversations with persistent context, and enforce sandbox isolation.
  • Integrate with TypeScript (@ash-ai/sdk) and Python (ash-ai-sdk) SDKs to build clients and automate workflows.

Quick Start

Deploy an Ash-hosted agent on the server and start a session to begin chatting.

Frequently Asked Questions about ash

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

FAQPage Schema
How do I deploy and orchestrate hosted AI agents on a server?▼

To deploy hosted AI agents on a server, you use Ash to create clients, deploy agents, and orchestrate sessions via a production-grade API. It manages session lifecycles, enabling you to create, pause, resume, and end interactions.

Can I stream AI agent output in real-time using SSE?▼

Yes, Ash supports real-time streaming of AI agent output via Server-Sent Events (SSE). This enables continuous message delivery during multi-turn conversations while maintaining persistent context across client interactions.

Does Ash support TypeScript and Python SDKs for building agent clients?▼

Ash provides dedicated SDKs for both TypeScript (@ash-ai/sdk) and Python (ash-ai-sdk). These SDKs allow developers to build clients, automate workflows, and integrate agent orchestration directly into their applications.

What is the best way to manage AI agent session lifecycles in production?▼

The best way to manage AI agent session lifecycles is using Ash's production API to create, pause, resume, and end sessions. It enforces sandbox isolation and persistence, ensuring stable multi-turn conversations.

Do I need sandbox isolation to run multi-turn AI agent conversations?▼

Sandbox isolation is required to safely run multi-turn AI agent conversations in production. Ash enforces sandbox isolation by default, ensuring persistent context and streaming operate within secure, controlled server environments.

Related Skills

Explore More Software Engineering Skills→
Selfdb-ioSelfdb-io

openrouter-typescript-sdk

Integrate 300+ AI models via a single TypeScript SDK.

Community
Advanced
aeonbridgeaeonbridge

dify-llm-platform

Build LLM-powered applications with Dify's visual workflow platform.

Official
Advanced
bobmatnycbobmatnyc
68

hono-jsx

Render JSX components server-side within the Hono framework.

Community
Intermediate
williamwang25williamwang25

cloudbase-agent-python

Deploy FastAPI agent backends with AG-UI streaming and OpenAI-compatible endpoints.

Community
Advanced