Inference Room's Tack offers agent-native storage and memory layer

Inference Room, a new player in the AI infrastructure space, has unveiled its first product: Tack, an agent-native storage and memory layer launched on May 19, 2026. Tack is purpose-built for AI agents that operate without human supervision, addressing a critical gap in the agent ecosystem: long-term state and context persistence. Rather than relying on ephemeral in-memory storage or relational databases designed for human workflows, Tack offers versioned, addressable access to files, state, and memory through a dedicated API optimized for agent interactions. This means agents can reliably read and write structured data, maintain conversation history, and resume tasks across sessions without losing context.

Inference Room's announcement also included an ambitious pledge: the company will release at least one new AI agent product every month. This cadence suggests a fast-paced strategy to dominate the emerging agent-infrastructure layer, competing with the likes of LangChain's memory modules and vector-database-as-a-service offerings. While Tack's initial focus is on storage and memory, future monthly releases could cover orchestration, observability, or communication protocols—allowing Inference Room to build a full stack for autonomous agent development. For developers building complex agent workflows, Tack offers a structured, version-controlled foundation that mirrors how version control systems (like Git) transformed software development, but tailored for AI agent state management.