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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Simplify's Take
What believers are saying
- Forbes named Mubit founders to 30 Under 30 Europe AI on April 14, 2026.
- Closed beta drew nearly 1,500 engineers before launch, signaling strong developer pull.
- Hoxton Ventures and Heavybit backed Mubit’s $2.1 million seed round in April 2026.
What critics are saying
- Mubit remains in closed beta as of August 2026, delaying revenue conversion.
- OpenAI, Anthropic, LangGraph, and vector databases can absorb memory features quickly.
- If agents standardize on model-native memory, Mubit becomes optional middleware.
What makes Mubit unique
- Mubit’s June 2026 SDKs span Python, JavaScript, and Rust with gRPC and HTTP.
- Its EU and US data residency supports regulated deployments across enterprise agents.
- CrewAI, LangGraph, LangChain, LlamaIndex, ADK, Agno, Vercel AI SDK, and MCP integrations reduce switching costs.
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