{"name":"Memind","url":"https://docs.openmemind.com/","version":"1.0.0","protocolVersion":"0.3","preferredTransport":"HTTP+JSON","supportedInterfaces":[{"url":"https://docs.openmemind.com/","protocolBinding":"HTTP+JSON","protocolVersion":"0.3"}],"provider":{"url":"https://docs.openmemind.com/","organization":"Memind"},"documentationUrl":"https://docs.openmemind.com/","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain"],"defaultOutputModes":["text/plain"],"skills":[{"id":"openmemind","name":"Openmemind","description":"Use when building agent memory systems, implementing long-term context storage for AI applications, extracting structured memory from conversations and multimodal content, or retrieving relevant context for agents and chatbots. Reach for this skill when you need to move beyond flat vector stores to construct layered, connected, and evolving memory that preserves source evidence, extracts durable facts, connects related knowledge, tracks long-running topics, and consolidates higher-level understanding.","tags":[],"url":"https://docs.openmemind.com/.well-known/agent-skills/openmemind/skill.md"}]}