Overview

Mubit provides an memory and state infrastructure layer for enterprise AI agents, acting as a memory engine that stores experiences, extracts reusable lessons, and adds relevant context before each LLM call to enable continual learning without retraining. It operates through a four-step loop—Write, Retrieve, Reflect, Reinforce—to build durable, cross-agent memory and shared knowledge across agents via a unified API and memory layers. The platform offers multi-language SDKs and integrates with AI frameworks like CrewAI, LangGraph, LangChain, and LlamaIndex to help developers create long-running, memory-enabled agents. Mubit’s goal is to help development teams improve agent performance over time by retaining context and enabling cross-agent learning while managing context within token limits.

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