What is AI agent replication?

AI agent replication (or agent cloning) is the process of copying an AI agent while preserving its full context, memory, and learned behaviors. Mitosis is the first platform built specifically for this capability. One agent absorbs your organization's knowledge, then clones itself into specialized roles — each copy carrying full context and rules.

How is Mitosis different from other AI agent platforms?

Most AI agent platforms are workflow tools (Salesforce, Notion), single-use assistants (Copilot), or office agent suites. Mitosis is infrastructure — it connects all three types through agent self-replication. You train one agent and it clones itself into every role, with adversarial agent-to-agent monitoring, isolated VMs, and end-to-end encryption.

Can I bring my existing AI agents to Mitosis?

Yes. Mitosis supports MCP (Model Context Protocol) and A2A (Agent2Agent) standards. Existing agents from Salesforce, custom stacks, or any MCP-compatible platform can migrate without starting over.

How does agent-to-agent monitoring work?

Multiple agents independently verify each output using adversarial simulation principles. They are incentivized to find errors in each other's work, similar to gradient descent in machine learning. The result is higher accuracy than any single agent or single human reviewer.

Every agent runs in an isolated virtual machine with dedicated resources. No shared memory, no cross-contamination between roles. Audit logging at the platform level and data encryption at rest and in transit.

How do I scale from one AI agent to many?

With Mitosis, you train one agent on your business, then it clones itself into every role you need. Each clone carries full context, memory, and constraint architecture. No retraining, no manual configuration. The system grows organically — from one agent to thousands — with automatic guardrails and monitoring.

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