Productivity
Daily inbox digest
Every morning, summarize what landed in your inbox and flag what needs a reply.
An operating system for AI-native work. Damon understands your goals and gets smarter with every task, so the more it learns, the more you can hand off.
Get StartedDamon turns one line into a plan, waits for your OK, then works through it and drops the finished files in your drive.
Example: given the goal “Launch the spring newsletter and grow signups 20% this quarter”, Damon writes a 4-step plan, waits for approval, runs it, and replies: “Done. The spring issue is drafted with two subject lines, your segments are built from the CRM, and the A/B test is ready to run.”
They need memory, a drive, tasks, skills and access to your tools. Damon wires all of it together so agents finish the job instead of handing it back to you.
Agents
Each with its own personality, goals, and an allowlist of what it can and can't access.
Workspace
What agents use, remember and produce as they do the job.
Context
A rich graph overlaid across the data in every integration.
Integrations
The tools and systems agents act through.
Example: Damon notices you have built the same investor update three months running and offers to take the first pass. After you approve its plan, it drafts the update, saves the steps as a workflow scheduled for the 1st of each month, and captures your format as a skill.
It spots work you keep redoing and offers to turn it into a scheduled workflow. You approve it once and review what it produces.
Ask once when you need it, or put it on a schedule or trigger. Same agents, same rules.
Templates
Copy one into your workspace, connect the tools it needs, and it runs. Every template shows exactly what it does first.
Productivity
Every morning, summarize what landed in your inbox and flag what needs a reply.
Sales
Every Monday, list the deals that have gone quiet and suggest a next step for each.
Productivity
Every Friday, write the project status report from your project tool and offer to post it.
Hundreds of integrations plus any MCP server. New tools get sorted into read and write access the moment you connect them.
Integrations include Gmail, Google Calendar, Google Drive, Google Sheets, Google Docs, Google Meet, Notion, Linear, Jira, Confluence, GitHub, GitLab, HubSpot, Zendesk, Intercom, Stripe, Shopify, QuickBooks, Xero, MailChimp, Typeform, Calendly, Zoom, Loom, Airtable, Asana, ClickUp, Trello, Figma, Miro, Dropbox, Box, Discord, WhatsApp, Supabase, Snowflake, and hundreds more.
And hundreds more, plus any MCP server.
Let agents run without letting them run wild. You set what they can read, write and send, and anything that needs a sign-off waits for you.
Foreground or background, a run halts the moment it reaches a gated action and picks up exactly where it left off once you decide.
Define what Damon can read, write and send. Every tool from every connected system inherits them, and you can override any single tool.
Connect an MCP server and Damon classifies each tool as read or write, matches it to your scopes, and falls back to requiring approval when it isn't sure.
Admins set the policy once and it holds across every member, so no one's setup becomes the weak spot.
Free
$0/ mo
Try it before you commit
Enough to see Damon do real work, and a week or two of daily scheduled runs.
5,000 credits
One-time, to get started
10 GB storage
Plus
$25/ mo
+$19 per additional seat
Everyday use: a daily triage workflow plus regular work with agents.
30,000 credits / mo
+20,000 per seat
25 GB storage
+10 GB per seat
Pro
$99/ mo
+$75 per additional seat
Power users mixing frontier models up front with background agents all day.
125,000 credits / mo
+75,000 per seat
100 GB storage
+25 GB per seat
Max
$199/ mo
+$149 per additional seat
Frontier-heavy work and small teams.
250,000 credits / mo
+150,000 per seat
500 GB storage
+50 GB per seat
Credits measure the AI work Damon does. A simple question might use a handful of credits; a complex, multi-step job a few hundred. Faster, cheaper models use fewer credits for the same work, so you can stretch your plan by choosing them for routine tasks.
From the Blog
Every meeting ends with action items nobody writes down. This recipe has an AI agent read the Fireflies transcript, extract the actions, and draft the follow-up emails for your approval.
A practical walkthrough of creating an AI agent in Damon — naming it, giving it a personality and goals, choosing which tools it can touch, and deciding what it may do without asking you.
Connect Gmail to Damon, see exactly what the agent can read and change, and put it to work triaging your inbox every morning — with every send left to you.