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Give AI agents persistent memory, searchable knowledge, and evolving identity context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "elephantasm-mcp" yet — see the docs or source repo.
Save the following user preferences and recent task progress into long-term memory, and organize them into searchable entries by topic: the user prefers concise replies, the project codename is Atlas, and the current blocker is API authentication.
Returns a summary of stored memories, category tags, and key details that can be retrieved later.
Search past memories related to the Atlas project, API authentication, and the user's preferred response style, then summarize the context I need to continue the task.
Outputs relevant memory snippets, why they matched, and a context summary ready for follow-up work.
Based on past conversations and task outcomes, update this AI agent's identity profile, including strengths, collaboration habits, and communication preferences, and explain what changed.
Provides the updated agent profile, a change summary, and suggestions for future interaction style.
Give AI agents persistent memory and semantic retrieval across conversations.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.
Give AI agents persistent memory, recall, and context management across sessions
Manage persistent agent memories across global or repository-specific scopes.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Give MCP-compatible AI agents persistent local memory across sessions.