$ loading_
Give AI agents human-like memory storage, recall, linking, and forgetting.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "spherical-memory-mcp" yet — see the docs or source repo.
Use spherical-memory-mcp to design a long-term memory setup for a support AI: store user preferences, past issues, and resolutions, with semantic recall and gradual forgetting.
A memory structure, recall rules, and forgetting strategy tailored for customer support.
Use spherical-memory-mcp to store notes from multiple research topics in one memory space and create semantic links between concepts for later thematic recall.
A research memory organization plan that supports retrieval by topic and associations.
Design a multi-turn conversation memory mechanism with spherical-memory-mcp so the AI remembers key context, weakens low-value details, and recalls relevant information when needed.
A conversation-focused specification for memory priority, retention period, and recall logic.
Let AI agents store, search, and recall memories that improve over time.
Persist and retrieve searchable cross-session memories for AI agents.
Store and retrieve agent lessons to improve tasks and avoid repeated mistakes.
Give AI agents persistent memory with semantic search and automatic linking.
Give AI agents persistent semantic memory with search, decay, and deduplication.
Lightweight vector memory for AI agents to store, search, and delete memories.