I built AgentProdReady, an open-source TypeScript / Node.js framework for embedding AI agents into real backend apps

Hey guys,

Quick pitch: I built AgentProdReady, an open-source TypeScript / Node.js framework for embedding AI agents into real backend apps.

What it is
A production-oriented agent stack with a Simple Agent API (createAgent → invoke / stream / close) so you can ship something useful this week — tools, memory, streaming, OpenAI / Anthropic / OpenAI-compatible providers — without drowning in platform boilerplate on day one.

Problem it solves
Most agent demos look great in a notebook, then fall apart when you try to put them in a real service: tools with side effects, auth, streaming, providers, and “what happens when this needs to be production-ready?” AgentProdReady is aimed at that gap — start simple, then graduate into clearer Runtime / Security / Capability ownership when you need it. Young ecosystem, honest about that — not claiming enterprise conquest.

I’ve done most of the core work already (Simple API, tools, memory, providers, diagnostics, scaffold, docs, npm packages). It’s MIT and open source.

Try it
npm create agentprodready@latest my-agent

or

npm install @agentprodready/agent-framework
GitHub: https://github.com/ameenmari/agentprodready
npm: https://www.npmjs.com/package/@agentprodready/agent-framework
If this sounds useful, please go check it out — star if you like the direction, open an issue if something’s confusing, or leave feedback. Docs/examples PRs are especially welcome.

Thanks for reading.

Comments

[Alex Shev]

The production framing is the right one for agents. The hard parts are rarely the chat loop itself; they are retries, tool boundaries, auth, logging, user-visible failure states, and deciding what the agent is allowed to do unattended. A framework that makes those boring pieces first-class is useful.