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Provide slim memory for AI assistants while reducing context token usage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "memory-slim" yet — see the docs or source repo.
Connect this Memory MCP service to my AI assistant to store long-term conversation memory, minimize context window token usage, and keep memory retrieval and write capabilities unchanged.
A lightweight memory setup or configuration for the assistant, enabling memory read/write with lower token cost.
I am building a multi-turn task agent. Use memory-slim to optimize the memory layer, reduce token costs from passing conversation history, and explain how to replace the current memory service without affecting existing functionality.
Provides migration steps, integration guidance, and an explanation of expected context compression benefits.
Help me evaluate how many context tokens I might save by switching my AI assistant's memory module to memory-slim, and list test points to verify full functionality is preserved.
Outputs an evaluation approach for token savings and a test checklist to verify memory functionality remains intact.
Share memory, preferences, and chat history across AI assistants.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Give AI agents persistent memory and semantic retrieval across conversations.
Give AI assistants persistent memory across chats for storing, recalling, and analyzing information.
Give AI agents persistent memory, recall, and context management across sessions
Give AI assistants persistent memory, entity storage, and semantic search across sessions.