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Provide local, traceable conversational memory querying and recall for LLMs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MultiService IA" yet — see the docs or source repo.
Query the conversation memory for historical events related to “user permission changes,” list them in chronological order, and explain how they affect the current discussion.
A chronologically ordered summary of relevant conversation events and an explanation of their impact on the current issue.
Using the recorded conversation memory, explain why the assistant just recommended a read-only query interface and identify which prior context it relied on.
An explanation of the answer’s rationale, linked to specific prior conversation snippets or events.
Based on current and historical conversation events, predict the most likely topic the user will ask about next and provide background information to prepare in advance.
The likely next-question direction, plus the memory evidence behind the prediction and preparation suggestions.
Give AI assistants persistent memory, semantic search, and team collaboration.
Give AI clients persistent long-term memory with search and organization.
Give AI assistants persistent memory with vector search, relationships, and access control.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.
Give MCP-compatible AI agents persistent local memory across sessions.