Agents that compound.
AI employees should get better with tenure. Sonzai gives every agent a compounding operating context: the team, the customer, the workflow, and what changed since the last conversation.
A human employee compounds over months.
An AI employee should too.
Stores facts about one user and retrieves them later.
Carries state between people, accounts, teams, and workflows.
Resolves contradictions, decays stale state, and makes the agent more valuable with tenure.
A compounding agent in a few calls.
Create an agent
Give the runtime an agent identity once. No custom memory system required.
Send a conversation
Attach a stable user or account id so Sonzai can preserve the right context.
Let tenure compound
The next turn arrives with prior facts, workflow state, and relationship history already assembled.
5 ways to integrate
Whatever your stack, Sonzai fits in. Choose what works for you.
Sell the agent. Meter the runtime underneath.
Customers buy working AI employees. Underneath, Sonzai meters memory writes, context assembly, relationship state, tools, and background jobs so the agent improves as deployment state grows.
See how it works→Frequently asked
Memory, personality, and stateful agents
Common questions about Sonzai, memory layers, and personality APIs for AI agents.
Sonzai is the relational agent harness for stateful AI agents. It gives any AI agent persistent memory, evolving Big Five personality, 4D mood, relationships, and a knowledge graph through three peer surfaces: a REST API, an MCP server, and native SDKs for TypeScript, Python, and Go.