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It stores what agents experience, extracts reusable lessons, and surfaces the right context before every LLM call — so agents get better over time without retraining. Memory and coordination work together: agents share knowledge through handoffs, learn from outcomes, and carry lessons across sessions.

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Why MuBit

Agents that learn

Every interaction becomes memory. MuBit extracts lessons from what worked and what didn’t, then surfaces them before the next LLM call.

Context that fits

Token-budgeted context assembly gives your LLM exactly the right facts, lessons, and rules — no overflow, no guessing.

Agents that coordinate

Register agents, scope memory access, and pass work between them with structured handoffs and feedback.

Works with your stack

Drop-in adapters for CrewAI, LangGraph, LangChain, Google ADK, Vercel AI SDK, and MCP. Or use the SDK directly.

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Get started

Quickstart

Two lines of setup. Your LLM calls automatically learn.

How it works

The write, retrieve, reflect, reinforce loop explained.

API reference

Full HTTP and gRPC control surface.