OpenAI's starter kit for ChatKit: two ways to bolt on chat UIs

What it does

Two minimal Python starter apps showing how to integrate OpenAI’s ChatKit, a pre-built chat UI component. One runs self-hosted; the other leans on OpenAI’s hosted workflows via Managed ChatKit. Both are reference implementations — copy, paste, and adapt territory.

The interesting bit

The split between self-hosted and managed matters more than it looks. Self-hosted gives you control over the UI plumbing; managed offloads workflow orchestration to OpenAI’s servers. The repo doesn’t pick a winner, which is either refreshing honesty or strategic ambiguity.

Key highlights

• Two distinct integration patterns in one repo: chatkit/ and managed-chatkit/
• Pure reference implementation — minimal, not production-ready
• Tied to OpenAI’s broader ChatKit + Agent Builder ecosystem
• 860 stars suggests moderate interest, not mass adoption

Caveats

• README is extremely thin; no architecture diagrams, no deployment guidance, no feature comparison between the two modes
• “Starter templates” is doing honest work — this is glue code scaffolding, not a framework

Verdict

Worth a bookmark if you’re already bought into OpenAI’s stack and need to prototype a chat interface fast. Skip it if you want deep customization, multi-provider support, or enough documentation to understand trade-offs without reading source code.