examples/showcases/strands-crm/README.md
A full-featured agentic CRM showcase for an enterprise hardware seller, built with CopilotKit, the AG-UI protocol, and a TypeScript Strands agent. The copilot doesn't just chat — it drives the workspace: researching prospects, building hardware quotes, analyzing the team, and generating reports that render as full pages.
The first TypeScript Strands example in this repo (the others are Python). It uses
@strands-agents/sdk+@ag-ui/aws-strandsto bridge a Strands agent to CopilotKit over the AG-UI protocol.
https://github.com/user-attachments/assets/c770941f-ba92-4d5b-ba42-b355e7205af4
useRenderTool / useHumanInTheLoop).STATE_SNAPSHOT keeps the Kanban board, dashboard, and pages in
sync with the agent's SQLite store.| Layer | Tech |
|---|---|
| Agent | TypeScript Strands (@strands-agents/sdk), @ag-ui/aws-strands, Express, OpenAI, Tavily, SQLite (node:sqlite) |
| Frontend | Next.js (App Router) + React 19, CopilotKit (@copilotkit/*), @ag-ui/client, Tailwind v4 |
# from examples/showcases/strands-crm
npm run install:all # installs root, agent, and frontend deps
# configure the agent's keys
cp agent/.env.example agent/.env
# edit agent/.env → set OPENAI_API_KEY and TAVILY_API_KEY
npm run dev # runs the agent (:8000) and the UI (:3000) together
Open http://localhost:3000.
Prefer two terminals? Run
npm --prefix agent run devandnpm --prefix frontend run dev.
Next.js + CopilotKit (UI, :3000)
│ /api/copilotkit → HttpAgent
▼
TypeScript Strands agent (Express, :8000)
│ tools: recommend_products / enrich_lead / analyze_team /
│ generate_weekly_report / move_stage / confirm_followup / …
▼
SQLite CRM store ──STATE_SNAPSHOT──▶ live board + dashboard + report pages
The frontend's API routes proxy to the agent at http://localhost:8000 (override with the
AGENT_URL env var). The agent registers CRM tools; mutating tools push a fresh state snapshot
so the board, dashboard, and report pages update live.
npm --prefix agent test # agent: store, routes, tools, analytics
npm --prefix frontend test # frontend: CRM lib + analytics
In the chat, try: "Research CopilotKit", "Quote a 30-seat laptop fleet for CopilotKit" (then approve the quote), "How is the team doing this quarter?", "Generate this week's report", or "Show me the pipeline."