Build AI agents that work across your tools, run on a schedule or an event, and take real actions on your behalf. Levain keeps every one inside the lines you draw (what it can see, spend, and touch) and on the record.
You describe outcomes. Agents deliver them on the rhythm you set, and get better the longer they work for you.
Build
Describe the work in plain language. Levain writes a plan you approve, builds the agent, checks and reviews its own work, and hands you a version to activate. Change your mind and it changes course; earlier versions stay.
Automate
A Monday-morning revenue recap on a schedule. A run fired the moment a payment fails or a checkout is abandoned. An answer when you ask. Agents run on your clock, your events, or your word, and pause to ask when a call is yours to make.
Compound
Agents remember what matters from one run to the next. They build a knowledge base from your documents and keep it current. And every finished run surfaces improvement ideas as issues; you decide what gets built.
Observe
Watch cost and tokens count up while a run executes, replay the conversation after, and see which model spent what. Costs roll up per agent and per workspace, with no end-of-month surprises.
Rather hire than build? Browse the ready-made and managed agents →
Powerful agents need hard limits. Levain enforces them in the platform, so an agent can't talk its way around them.
A run works with what you granted (the tools you allowed, the data you connected) and nothing else. Other customers, other workspaces, and the platform's internals are out of reach.
Every run is checked against your balance before it starts, then held to the limits you set: a time limit, a dollar budget, a step count. A runaway loop stops against a wall you built.
Access to your tools is granted per agent, per tool: connect Slack for one agent and the others still can't post. Your credentials stay encrypted. Agents call tools through the platform and never receive your keys.
Every decision, tool call, and dollar lands in a log you can replay, and workspace changes (versions, members, integrations, credits) land on an audit trail. What an agent did is a matter of record.
One browser sign-in per tool. Agents get exactly the access you grant, and your data starts working for you.
A connected tool cuts both ways: agents can act on it, and its events can set agents in motion.
Connect Stripe or Shopify and Levain keeps a live copy of your business data for your agents to query.
The dashboard is one door. Your agents also answer in the tools you already have open.
Mention Levain in a channel and the answer streams into the thread. Agents ask when they hit a decision only you can make, and your reply resumes the run where it paused.
Levain in SlackPoint Claude, Cursor, or anything that speaks Model Context Protocol at your workspace: agents, runs, and analytics one message away, behind a single browser sign-in.
The MCP serverEverything on this page works from the dashboard, and all of it is scriptable (runs, logs, schedules, memory, the knowledge base) with an API key and docs that cover the full surface.
Read the docsLevain sits above the model providers, so your agents aren't tied to any single one.
Model choice is set per agent, down to each step of its job. Deep reasoning where it earns its price, a cheaper model where it delivers the same outcome. That choice is where run costs come down.
Changing a model is a new version of the agent, made in the same build conversation, and if the cheaper model doesn't hold up, you roll back. Your agents, prompts, and data don't belong to any one provider.
Already have a provider contract? Register your key and the provider bills you directly, with the same logs and metering. Keys are encrypted, shown only as their last four characters, and revocable at once.
The docs list every model (across Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, and more) with prices side by side. Browse the model catalog →
Everything your agents read, learn, and produce is yours to see; none of it disappears into the platform.
Run logs, the knowledge base, and every fact your agents remember are browsable in the dashboard and readable over the API, from Claude too, if that's where you work. There is no sealed layer.
Knowledge pages are plain markdown, raw sources are kept for audit, and any run's full log downloads as a file. What Levain builds from your data stays in a form you can walk away with.
What your agents learn from your customers and edge cases lives in your workspace (memories and knowledge you can read, edit, and delete) and never in someone else's model.
Sign up, hand it a job, and watch the first run land on the record, every decision inside the lines you drew.
