Bring the conversations you capture in Wave into the AI workstreams where your next decisions and actions happen.
Start with the way you want to work: connect an assistant, automate locally, or build something custom. One Wave account, three purpose-built paths.
Best for: Claude, ChatGPT, and other MCP clients
Bring your Wave meeting memory into Claude, ChatGPT, Claude Code, and other MCP clients. One URL, then sign in with Wave.
Best for: Local agents, scripts, and scheduled jobs
Search, organize, export, and react to Wave sessions from local agents, scripts, cron jobs, and shell workflows.
npm install -g @waveai/cliBest for: Products, backends, and custom integrations
Use the Wave API when your AI workstream needs custom logic, a backend integration, webhooks, or complete control over the experience.
Generic AI is useful. AI that understands the meetings you’ve actually had can prepare, recall, organize, and follow through with you.
Give Claude, ChatGPT, or any MCP-capable agent live access to your transcripts and summaries. It stops needing you to paste context.
An agent listens for every new recording, pulls the action items, updates your CRM, drafts the follow-up, and asks you to approve. You stop doing busywork.
Semantic search over years of recordings. Ask in natural language, get ranked snippets and the sessions they came from.
Full transcripts with speaker attribution, structured summaries, action items, signed audio URLs — as JSON, as text, as whatever your downstream tool needs.

Every transcript, every speaker-labeled segment, every summary, every action item, every byte of audio — exportable, queryable, and automatable. Use it with whatever AI you trust today or whatever comes next. Wave keeps your meeting memory portable, with you in control of where it goes.
Connect through MCP, automate with the Wave CLI, or build over HTTPS. The label on each tool shows the path it uses.
Connect Wave to the AI tools you already trust, automate the work around them, or build a workstream of your own.

Social Media
Use Cases
Compare
All rights reserved
Made with love in New York City