agentstack
Deploy AI agents as production services with built-in infrastructure
All Skills in This Repository (6)
Pure Emerald Level Indicatorssocial-media
Generates LinkedIn posts and Twitter/X threads with accompanying images from delegated research.
blog-post
Writes structured long-form blog posts with research delegation and generated cover images.
agentstack-wrapper
Wraps existing Python agents as Agent Stack services using agentstack-sdk with minimal compatibility changes.
draft-issue
Draft GitHub issues for i-am-bee/agentstack with templates and labels.
release-notes
Generate user-focused release notes from merged GitHub PRs.
agentstack-server-debugging
Debug agentstack-server locally using Telepresence, Lima VM, and mise commands.
Frequently Asked Questions
FAQPage SchemaHow to install Agent Stack?ā¼
Run `npx skills add i-am-bee/agentstack --all -g -y` in your terminal to install all skills in this suite globally.
What does Agent Stack do?ā¼
Agent Stack turns your AI agents into running HTTP services with LLM routing, vector storage, authentication, and file handling built in, so you can call agents like any backend service.
Can I deploy an existing Python agent without rewriting it?ā¼
Yes. The agentstack-wrapper skill wraps your existing Python or framework-based agent with minimal compatibility changes and no business-logic rewrites.
Does Agent Stack work with LangGraph or CrewAI?ā¼
Yes. You can build agents with LangGraph, CrewAI, or your own framework, and they are automatically exposed as A2A-compatible services.
Can non-developers use Agent Stack?ā¼
Basic usage requires some technical setup, but once running, the included web UI lets anyone test and interact with deployed agents through plain conversation.
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