The AI agent that does its own integration work
Algomo maps the APIs your site runs on, connects to them on its own, and takes instructions in plain language. Sierra and Decagon staff engineers on each deployment; Chatbase and Botpress hand you a connector list.
THE PRODUCT
From your URL to a working agent
Three steps, in this order. No scoping call, no build phase.
1. Connect the assistant you already use
Add Algomo to Claude or ChatGPT and sign in through the browser. [One command adds Algomo as an MCP server](/agents.md) to Claude Code, Codex or Cursor instead. There is no API key to copy and nothing to paste into a settings page, and everything below can also be done from the dashboard.
2. Install the extension and let it read the site
The extension works through the whole site on its own: it takes the sitemap, follows the pages and records the data connections each one makes. Nobody has to click around the site to show it what matters. When it finishes, Algomo holds a map of the endpoints your pages already call.
3. Describe the job, and the assistant builds it
You say what the agent should answer, what it should hand to a person, and what it must never touch. Your assistant turns that into the agent's configuration and stages each change as a diff you read, and preview on your site, before it goes live. What you build shows up on a board, and clicking any piece of it replays the command that made it.
Your agent can't contradict your website
Every other agent answers from a copy of your site, taken at some point in the past and re-synced forever after. Algomo keeps no copy. It knows where your pages are, opens the right one while the customer is waiting, and reads the answer off it. Change a price at nine and the answer is right at nine oh one, with no re-index to schedule and no window where your agent is confidently telling customers something you have already changed.
- Change the site, and the next answer already knows
- Nothing to keep up to date, because there is no second copy to keep up to date
- You only write down what your website does not already say
The building blocks behind your agents
Everything you ask for is composed from these, which is why there is no feature list to wait on. If your systems can do it, a request is enough.
Multi-agent framework
Several agents, each set up for its own job, and one can invoke another to finish a task. Your visitor sees a single conversation the whole way through.
Meetings
Booked into real Google and Outlook calendars, with working hours, buffers and the video link handled. The right person gets the meeting and the conversation arrives with it.
Workflows
Multi-step work described once and followed every time: spot the visitor on your pricing page, look them up, enrich the company, then either answer the question or offer a demo. Every run keeps a trace of each step.
Knowledge
What the agents answer from: your live pages, the documents and files you upload, and what you have told it in your own words. Every answer carries the source it came from.
Tools
Every connection becomes a tool the agent can call, with its arguments and its limits written down. Ask for one that does not exist yet and it gets built, from the same endpoints.
Connections
The endpoints your own pages already call: the search, the stock check, the order lookup, the availability query. Algomo finds the public ones itself, and anything behind a login is connected once, with us.
Questions, answered
What it does
**What counts as a real action?**
Anything your site can already do. Its reach is your site's reach: if a visitor could do it on the page, the agent can do it for them, inside the limits you set.
**Where does the agent run?**
In the visitor's own browser, not on a server pretending to be a visitor. What it sees is exactly what that visitor sees, which is why its answers match the page.
**When does it act instead of explaining?**
When doing the step is quicker than talking the visitor through it. Where that boundary sits is your call.
**Can visitors still do things themselves?**
Yes. It acts alongside the visitor, not instead of them.
Control and limits
**Can we limit what it is allowed to do?**
Yes, just by telling it, and the limits hold. Most businesses put refunds and anything that charges a card out of bounds. When a question needs judgement, it hands over instead of improvising.
**Can I change what it does after launch?**
Yes, by telling it. A new policy, a new rule, a new limit: say it in plain language and the next conversation follows it. Ask what changed this week and it will tell you, with the call behind any answer you want to check.
**What if the agent makes a wrong change?**
You throw it away. A change is staged, not live, until you keep it, and the dashboard holds the history of what changed and why.
**Do we need training?**
No. If you can describe the change, you already know how to make it. Anything you can request in conversation can also be done and seen on screen.
Your stack
**Does it work on our stack?**
It acts in the visitor's browser session, so it works on any website and needs no platform app. There is no list of supported platforms to check yourself against, because the normal case is a stack that appears on no list.
**Do I need to build or expose an API?**
No. It uses the same requests your site makes for itself.
**What if my site has few discoverable endpoints?**
Server-rendered sites expose less for the agent to discover on its own than client-rendered ones do. In that case Algomo is pointed at the systems behind them in a setup session.
**What happens when we redesign our site?**
It keeps working. Discovery is not a one-off import: the same process that mapped your site the first time keeps watching it, so a moved endpoint is found again the way it was found at setup.
Developers and data
**Can our own AI tools work with it?**
Yes. Everything the agent can see and change is available over MCP, so Claude, ChatGPT, Claude Code or any MCP-speaking tool can run the platform the same way a person does from the dashboard, with nobody in the loop.
**Do you copy or index our site?**
No. There is no ingestion pipeline for your site: the agent browses the live site to find the answer, the way a person would. That is why answers never lag behind the page, and why a very large site does not hit the limits RAG does. The only stored knowledge is what you add yourself because the site does not have it.
**Do you train models on our conversations?**
No. Conversations belong to you. We act on your instructions, for your purposes.
Getting started
**What do you need from us to start?**
A URL. Public endpoints are discovered automatically; anything behind a login is set up together. Someone pastes one snippet into your site and the agent takes it from there.
**How long does setup take?**
Minutes, not a project plan. The slow part of an agent rollout is normally the integration, and that is the part Algomo does itself.
**Can we see it working before we commit?**
Yes. Start free puts a working agent on your own site, against your own live data, before a visitor ever sees it and before any sales conversation.
**What does it cost?**
You pick a rung on the ladder, from free to $4,300 a month, and it buys credits. A conversation that helped someone is five credits, and five more if it runs past ten replies; spam, abuse and gibberish are not charged. Workflows run free, apart from a hundredth of a credit for a step that calls an outside service or reads your knowledge base. The amount you picked is the most any charge can be: no overage, no credit packs. Run out early and you can renew now, or the agent pauses until the month turns. Every number is on [this site's pricing page](/pricing).
Explore more from Algomo
Why Algomo
Why we built an agent that does its own integration work.
[Why Algomo](/resources/why-algomo)
Comparisons
See how Algomo compares to Sierra, Intercom Fin, Decagon and Gorgias.
[Comparisons](/resources/comparisons)