Agentic Chat Application Template
https://github.com/coleam00/agentic-chat-application-template- Category
- AI Agents
- Rank
- No. 1545Tools index
- Pricing
- Open Source
- Type
- TOOL
- Builder
- coleam00
- GitHub
- 59 stars
- Date
About
Starter template for building agentic chat apps with TypeScript, Next.js, TailwindCSS, and shadcn/ui.
What it does
This is a working real-time AI chat foundation with accounts, saved conversations, streamed replies, markdown and highlighted code. Users can create, rename, delete, and revisit chats. The interface supports mobile layouts, themes, keyboard controls, error notices, and stopping active requests when switching conversations.
Why it's ranked here
The template covers much of the unglamorous work needed for a credible chat product: authentication, persistence, streaming, validation, structured logging, testing, responsive presentation, and database migrations. Its documented architecture is clean and practical. However, the supplied implementation demonstrates AI chat, not autonomous agents, tool execution, or multi-step orchestration.
What's good
Vertical feature slices keep database access, business rules, validation, errors, and tests together. Streamed responses reach the browser through Server-Sent Events, while conversations persist in Postgres. Environment validation, structured JSON logs, migration commands, markdown rendering, syntax highlighting, confirmation dialogs, and visible error feedback provide useful production-oriented scaffolding.
Tradeoffs
Running the application requires Bun plus credentials and infrastructure from OpenRouter and Supabase, including a Postgres connection. The client keeps its conversation list in browser storage while messages live behind server endpoints. The documented design supports one configurable model provider, but shows no agent tools, retrieval layer, background work, or provider abstraction.
How to use it well
Use it when a TypeScript team wants to turn a conventional, authenticated AI chat product into a domain-specific application. Replace the example project feature, extend the existing vertical slices, and keep the supplied migration, validation, logging, and test workflow. Choose another foundation if the core requirement is autonomous tool-running agents or orchestration.
Technical notes+
package.json defines a private Next.js 16 application run with Bun, React 19, TypeScript, Biome, Drizzle, Supabase, OpenRouter-related application code, and Bun tests with React Testing Library. src/app/page.tsx renders the chat layout dynamically, while src/proxy.ts delegates matching requests to Supabase session refresh logic. src/hooks/use-chat.ts posts messages to /api/chat/send, reads SSE frames, accumulates assistant content, supports aborts, and calls conversation message, rename, and delete endpoints. Its parser splits each decoded network chunk by newline without retaining an incomplete trailing line, so an SSE frame divided across chunks can be ignored after JSON parsing fails. The same hook does not check the delete response status. src/hooks/use-local-storage.ts maintains the browser-side conversation index. src/app/layout.tsx installs Geist fonts, theme handling, and toast rendering.
Observed
- License
- MIT
- Primary language
- TypeScript
- Packaging
- Private Next.js web application managed and run with Bun
- Application interface
- Responsive browser chat interface with authentication and conversation management
- API interface
- Next.js API routes, including Server-Sent Events for streamed chat responses
- Persistence
- Supabase Postgres accessed through Drizzle ORM
- Testing
- Bun test with React Testing Library; the documented feature structure includes colocated tests
- AI provider
- OpenRouter with a configurable model setting
Read from README.md, package.json, src/proxy.ts, src/app/page.tsx, src/lib/utils.ts, src/app/layout.tsx, src/shared/index.ts, src/app/not-found.tsx, src/hooks/use-chat.ts, src/app/global-error.tsx, src/hooks/use-auto-scroll.ts, src/hooks/use-local-storage.ts, src/types/testing-library.d.ts, src/components/theme-toggle.tsx, src/components/theme-provider.tsx.
What it can do
Provide a foundation for building agentic chat applications
Developer requirements and specifications → Complete starter template with pre-configured components
Generate responsive chat interface components
TailwindCSS and shadcn/ui configurations → Styled chat UI elements and layouts
Handle conversational interactions with AI agents
User messages and prompts → AI agent responses and conversations
Scaffold TypeScript-based chat application structure
Project initialization parameters → Organized TypeScript codebase with proper typing
Integrate Next.js framework for chat app development
Application requirements and routes → Server-side rendered chat application with routing
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