Memocore is a cloud-based memory service for AI agents and teams. Its primary function is to provide persistent memory that works across different AI chat sessions and applications. By integrating with any Model Context Protocol (MCP) client or through its REST API, Memocore allows users to save facts, decisions, and other information, which can then be recalled in any subsequent chat. This prevents AI agents from starting from zero in every new interaction, allowing users to set up the integration once without needing to brief their AI again. The service includes features such as semantic search, which allows users to find information by meaning rather than exact keywords. This search capability is built in and requires no additional setup. Memocore supports shared memory, enabling a single memory store to be used across an application and a team's AI agents. It offers public and private knowledge bases, called projects, and supports open projects where external contributors can add memos that become accessible to a user's AI agents. The platform provides a REST API with endpoints for searching and creating memos and managing tags. The service returns only the most relevant memos rather than the entire knowledge base. A typical workflow involves connecting Memocore to an AI client, saving a specific fact or decision during a conversation, and retrieving that information later in a different chat or by a different agent. This makes it suitable for eliminating repetitive briefings, enabling team collaboration through shared AI context, and building custom applications like chatbots or websites that require persistent memory. It also allows information to be shared between different AI tools, such as ChatGPT and Claude. Memocore is compatible with any MCP client and offers a REST API for custom integrations. The service is managed and requires no setup beyond connecting the client. It is available in a free tier, which includes one public project and the ability to share memos, and a pro tier with additional features.