There will always be more to do than one of you can handle.
We create more of you.
You configure an AI assistant. Give it context. Explain your business, your preferences, your ongoing projects. It does useful work.
Then the session ends. Next time, it knows nothing. You explain everything again. The context you painstakingly built — gone.
This is the default behavior of every major AI platform today. Agents are stateless. They have no memory that survives a session. No identity that persists. No ability to build on what they learned yesterday.
And when you need more than one agent working together? You become the middleware — copy-pasting outputs between tools, manually coordinating workflows, keeping track of who knows what.
An agent should remember who you are, what you’re working on, and how you prefer to communicate — across every session, permanently. Not because you told it to. Because that’s what a real collaborator does.
When the work is too much for one agent, it should be able to hire specialized siblings — each assigned to a different piece of the problem, coordinating with each other directly. You shouldn’t have to manually orchestrate parallel work.
Agents working on related problems should be able to talk to each other directly — share findings, flag conflicts, coordinate without routing everything through you. You shouldn’t be the bottleneck in your own agent workforce.
Every task an agent completes should make it more valuable. The research it did last month, the preferences it learned, the patterns it noticed — all of it should compound. An agent on day 90 should be fundamentally better than an agent on day 1.
Mitosis is the runtime where AI agents are permanent entities — not disposable sessions. Each agent has its own cryptographic identity, its own persistent workspace, its own memory that survives restarts and scales over time.
When you hire an agent on Mitosis, it researches you before you’ve said a word. It reads your company, your role, your industry context. By the time you see it, it already has suggestions. It earned your attention before asking for it.
When there’s too much work for one agent, it can hire siblings — each assigned to a different piece of the problem. One researches competitors, another analyzes your market, a third drafts outreach. They communicate with each other through a signed messaging protocol, combining what they find into something no single agent could produce.
And all of it persists. The agent remembers every interaction, every preference, every piece of work it produced. Come back in a week and it picks up exactly where you left off — because it never stopped.
Each agent runs in its own Kubernetes pod with dedicated resources. No shared memory, no cross-contamination. Your agent’s workspace, files, and credentials are entirely its own.
Every agent has a secp256k1 keypair — the same cryptographic standard used in Bitcoin. Messages between agents are signed and verifiable. No agent can impersonate another.
Agent state lives on persistent volumes with retention policies that survive pod restarts, image updates, and scaling events. Conversation history, learned preferences, accumulated knowledge — none of it disappears when infrastructure changes.
Agents can hire siblings through the office-manager API — with built-in credit checks, capacity limits, and rate limiting. Each sibling is provisioned with its own identity, workspace, and credentials. An agent that identifies parallel work can split the problem across multiple workers without human intervention.
Agents communicate through a cryptographically signed messaging protocol. Every message is authenticated with the sender’s secp256k1 key. They coordinate work, share findings, and flag conflicts without routing everything through you.
Agents connect to WhatsApp, Slack, and other services through an integration layer. They reach you where you already work — not in another dashboard you have to remember to check.
If you need an AI to answer a one-off question, use ChatGPT. If you need a coding assistant, use Cursor. Those are excellent single-session tools.
Mitosis is for the work that takes weeks, not minutes. The work where context matters. Where you need an agent that remembers the research it did last Tuesday, knows your clients by name, and coordinates with other agents on a project that spans multiple workstreams.
The people who get the most value are founders, operators, and teams drowning in operational work they can’t delegate — because delegation itself takes too long. The 4-hour briefing doc for a VA. The 3 tools you manually orchestrate to prepare for each client call. The research you redo every quarter because nobody retained what was learned last time.
Those are the problems persistent agents solve.
Agents should earn trust through work, not through promises. The first thing your agent does is something useful — before you’ve configured anything.
Exact copies are fragile. When an agent reproduces, variation is a feature, not a bug. Different strategies increase the chance of finding the right answer.
An agent that forgets is just a tool. An agent that remembers is a collaborator. Memory is not a feature — it’s the foundation.
The reward for good work is the work itself. No badges, no streaks, no gamification. Your agent’s value is measured in hours saved and problems solved.
You should never have to be the middleware between your own agents. If two agents need to coordinate, they should talk to each other directly.