From talk. To done.

An Ambient layer that listens, understands what needs to be done, and gets it done in parallel before you finish talking.

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Recording
Live Transcript
18:15:41

Okay so Japan. Cherry blossom season. We're actually doing this? Like for real this time, not like the Portugal thing where we talked about it for six months and then nobody booked anything.

18:15:52

Yes, we're doing it. I already started looking at dates. Peak bloom in Tokyo is usually late March to early April, but it shifts year to year.

18:16:08

Priya said she's in but she needs to check something with her visa. She's on that H-1B so she might need to do the advance parole thing.

18:16:31

Okay so dates. Basically all of April works for me except the first week, I have a product launch at work. April 5th to 15th — eleven days. That's actually perfect.

18:17:02

Flights: ANA direct is about $920 round trip. JAL $890. Zipair $640 but it's budget — no meals, no bags. United is $780 direct to Narita.

18:17:28

Hold on — if we book ANA through their website directly instead of Google Flights it's actually $870. They have a sale that ends next Tuesday.

Golden Gai is that area in Shinjuku with like 200 tiny bars crammed into six alleys...
Add context note... (Enter to submit)

70% of your work isn't the work.

Notes. To-do lists. “Can you send that?” Reminders nobody reads. Follow-up meetings about the last meeting.

That's backwards. We flipped it.

Animated comparison showing scattered follow-up work without Ambient and a clean path to done with Ambient.

Without Ambient
ConversationNotesSearchDocsTodo listFollow-ups
With Ambient
ConversationDone

Core features

From talk. To done.

Any language

Works across 40+ languages without configuration.

Real-time processing

Captures and structures while the conversation is still happening.

Context-aware

Understands who said what, what was decided, and what's next.

JPEN
Mic Input
Device Audio
Transcript
Summary
Live transcript
18:15:41

Snowboarding in Japan, we have to make it happen.

18:15:46

じゃあ、ニセコにしよう。ja

18:16:01

18:16:09

It Listens.

Every conversation, perfectly remembered — in any language, without you ever reaching for a notepad.

Suggested

You referenced onboarding as the reason churn improved, but the latest dashboard shows activation is up while churn is flat. Want me to flag that before the recap goes out?

You committed to a June launch, but there are still three unresolved dependencies across design, legal, and infra. Want me to turn those into assigned follow-ups?

The team cited a competitor's new usage-based pricing, but their latest public plans still show seat tiers with overages. Want me to pull the current pricing and compare it?

Two people agreed to 'circle back next week,' but no owner or date was set. Want me to turn that into a concrete next step with an assignee and deadline?

It Structures.

Ambient catches what matters and surfaces thoughtful, well-researched suggestions, with multiple agents pulling context in parallel to surface the most critical ones.

Agents (5)
5 live

Create user interview guide for meal planning

just now

Check domain availability for AI recipe app

just now

Draft MVP feature spec for multi-profile planning

just now

Research competitive landscape for AI recipe apps

just now

Compare onboarding flows across top recipe apps

just now

It Actions In Parallel.

Ambient turns well-researched suggestions into action, dispatching long-running agents to tackle tasks in parallel.

Impact

Less busywork. More momentum.

9xfaster post-meeting follow-up time
Post-Meeting Follow-Up
Time spent per 1-hour meeting
0min
Without
0min
With Ambient
Hours Lost to Follow-Ups
Weekly hours by meeting volume
0h10h20h30h258121620~30h saved
Without
With Ambient
meetings / week
One meeting. Immediate output.

Suggestions appear live. Accepted ones turn into running agents.

Typical 1-hour meeting
Input
1h
meeting, conversation, or review
Research Suggestions
~60
suggested task
Accepted Into Agents
Agents Running
~5
each accepted suggestion starts an agent
Research
Sourcing
Drafting
Ops
Follow-up

Customize

Built extensible. Made to adapt.

With the most powerful agents fleet. Deploy, customize, and orchestrate Ambient around your workflow.

Agent tools
7 installed
Skills
MCP
Coding
  • frontend-design
    Production-grade UIs
  • web-design-guidelines
    A11y + design review
  • vercel-react-best-practices
    Next.js perf rules

Skills, MCP & Coding Agents

Add skills, MCP connectors, and dispatch Codex or Claude Code natively as background coding agents.

Agent Memory
Learning on
  • Always use pnpm, never npmLearned
  • Never auto-commit without confirmation
  • Vitest for tests, not Jest
  • Tailwind v4 with CSS variables

Continual Learning

Agent remembers all past actions and corrections. Never make the same mistake twice.

Long-running Task
Needs approval
Draft Q1 board update
  • bashls Meeting\ Notes/Q1/
  • readMeeting Notes/Q1/board-prep.md
  • writeDeliverables/Q1-Update.md

Long-running Agents

Agent reads, edits, and runs commands on your machine up to hours until the task is done — pausing only for the moves that need your sign-off.

Frontier Models
5 providers
  • Opus 4.6
    Anthropic
  • Sonnet 4.6
    Anthropic
  • GPT-5
    OpenAI
  • Gemini 3 Pro
    Google
  • Grok 4
    xAI

Always the latest models

Frontier models from Anthropic, OpenAI, Google, xAI, and more — swap providers without swapping tools.

Add Context
session · transcript
14:02

Users are dropping out after the OAuth redirect — Safari is blocking the session cookie without SameSite=None.

safari cookie bug…×
What should these become?
1 snippet

Add context

Highlight any line from a session and drop it in as context. The agent picks up exactly what matters.

Agents Summary

3 agents · 2 ok · 1 failed · 6 min 12 sec

Fleet planned the trip together, sharing findings as each agent worked.

Shortlist flights to Tokyo

ANA SFO→HND, $1,240 round trip

Find ryokans in Hakone

3 onsen stays under $300/night

Draft day-by-day itinerary

Needs a buffer day in Tokyo

Agent Fleet

Spin up a fleet to take on any task together. Every agent contributes to a shared summary — a hive mind you can steer.

Use cases

Any conversation. One tool.

Because conversations are where plans are born — and too often, where they disappear. Ambient exists to ensure that what matters doesn't get lost.

The trips will always make it out of the group chat.

Flights get mentioned. Hotels are debated. Someone says, “I’ll look into it.”

Ambient captures destinations, dates, and ideas as your group discusses. Then generates a structured plan with flight research, hotel options, and an itinerary pushed to Notion before the conversation even ends.

Pricing

Open-Source. Always free.
Scale as you grow.

Save 20%

Free

$0/month

Open source community edition.

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  • Unlimited local sessions
  • Continual Learning
  • Native Codex + Claude Code integration
  • Frontier Models
  • Self-hosted deployment

Pro

Popular
$20/month

For developers who need advanced features and unlimited AI requests.

Coming Soon
  • Everything in Free
  • Included API usage and login
  • Semantic Search and Deeper memories
  • Share data across devices
  • Priority access to model inference
  • Agent trajectory

Enterprise

Custom

For teams that need dedicated support, custom deployment, and advanced security.

Coming Soon
  • Everything in Pro
  • SSO & SAML
  • Cloud agents
  • SOC2, HIPAA
  • Custom connectors
  • Dedicated support manager
  • SLA guarantees

FAQ

Questions? We've got answers.

Yes. Running ~60 agents per 1-hour conversation feels powerful, but the smarter the underlying model, the more it costs to run at that scale.

Ambient is actively training a frontier-quality model in this category with two goals:

  • Search more before speaking up. The model should check transcript history, re-read earlier session context, and verify facts on the web before interrupting with a suggestion.
  • Roughly 50× cheaper at the same quality. We target around $0.30/M tokens; models of comparable quality today run closer to $15/M tokens.

Our first internal checkpoint, Murmur 1 Preview, already investigates significantly more before making a suggestion — roughly 2× more tool calls per meeting scenario than its base model, nearly 2× more agent turns, and over 3× more web searches to verify claims.

Murmur 1 Preview searches more before speaking up: 2.2× more tool calls, 2.3× more agent turns, and 3.2× more web searches per scenario compared to its base model.

We hope to offer this to you very soon in the following weeks!

Most note-taking apps capture information. Ambient captures intent. Instead of just giving you a transcript, summary, or enhanced notes to reread later, Ambient identifies decisions, commitments, and next steps in real time, continuously researches everything said so far, then structures and pushes what matters into action. Notes store the past. Ambient moves conversations forward.
Ambient only listens when you activate it. When active, it processes audio locally on your device. It does not continuously stream your microphone to the cloud. You are always in control.
Audio processing happens locally on your device. Transcripts and tasks are only saved if you choose to keep them. You can delete sessions at any time.
Ambient transcribes device audio and/or microphone input, whatever you pick. Audio is processed locally on your device, no recording files are stored, and any session transcript can be deleted at any time.
Ambient suggests structured tasks and actions. You approve before anything is pushed to tools like Notion, task managers, or booking flows. You're always in control.
Yes. Ambient is open source, so you can inspect how it works, verify how audio and data are handled, and contribute improvements yourself. We think software that listens in on important conversations should earn trust through transparency, not just promises.

Where your words do the work.Try Ambient today.

Download for macOS

If macOS blocks the app on first open, go to System Settings Privacy & Security Security and click Open Anyway.