Tiger Data has introduced Agentic Postgres, a database built on Postgres that caters specifically to the needs of AI agents and developers. Key features include fast forking, a managed control plane (MCP) server, and enhanced search capabilities through native BM25 and vector search. The MCP server allows users to create applications or describe database schemas using high-level prompts, streamlining the development process. At the core of Agentic Postgres is Fluid Storage, a new distributed storage system designed for scalability and safety. This enables fast, zero-copy forks on live data, allowing developers to quickly set up isolated environments for testing without affecting production data. For example, an agent can create a full copy of production data in seconds to evaluate performance changes from new indexes. Tiger Data argues that this level of elasticity is essential for agentic software, which requires rapid code creation, modification, and deployment. Nikki Siapno, a software engineer, emphasizes that modern databases must accommodate time, meaning, and memory concurrently, which traditional systems struggle to do. While developers could use a mix of specialized databases to meet these needs, it complicates the process. Other databases targeting similar use cases include Firebolt, optimized for analytical workloads, and Weaviate and Qdrant, which focus on high-dimensional vector storage and similarity searches. Developers can try Agentic Postgres for free, which includes access to forkable databases, hybrid search, memory APIs, and MCP integration, though with some limitations on bandwidth and performance.