Equips AI agents with persistent long-term memory to store, recall, and share information across sessions.
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AI agents typically lose all context and learned information at the end of each session, leading to repetitive questions and inefficient workflows. Central Intelligence solves this by providing agents with a persistent memory system. It offers five core tools: `remember` to store new information, `recall` for semantic search of past memories, `context` to automatically load relevant information, `forget` to delete outdated data, and `share` to make memories accessible to other agents, ensuring continuity and knowledge sharing across sessions and agents.
主要功能
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02Auto-load relevant memories for current tasks with `context`
03Store information for AI agents with `remember`
04Delete outdated or incorrect memories using `forget`
05Share memories between agents and across different scopes (agent, user, org) using `share`
06Perform semantic search across past memories with `recall`
使用案例
01Providing context from previous sessions for a new AI agent session
02Sharing discovered architecture, preferences, or fixes among multiple agents working on the same project
03Preventing agents from repeatedly re-learning the same information across sessions
