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Give LLMs persistent local memory and semantic recall across sessions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "claude-memory-mcp" yet — see the docs or source repo.
Store the following project context in long-term memory and prioritize it in future chats: Our product serves cross-border e-commerce sellers, and the core goal is to reduce ad spend.
The tool saves the project context into local long-term memory for retrieval in later sessions.
Recall my previous preferences for technical documentation style and summarize them into three writing rules.
It returns relevant saved preferences and turns them into actionable rules.
Search past memories related to “pre-release risk checks” and list the key items mentioned before.
It uses semantic search to find relevant memory snippets and outputs the key points.
Developers or product managers use it to store stable context, preferences, and project facts across days of work, reducing repeated explanations.
When a conversation starts fresh, users can semantically retrieve relevant past memories so the model can continue from prior understanding.
It suits teams that want persistent memory for LLMs in a local environment, using SQLite storage without relying on external APIs.
It provides persistent long-term memory for LLMs. Memories are stored in local SQLite and can be retrieved later through semantic search.
Based on the provided description, it does not rely on external APIs. Its memory capability is built on local storage and semantic retrieval.
It persists information to local SQLite and finds relevant memories through semantic search, allowing recall in new sessions.
Give Claude persistent cross-session memory with relevant memory retrieval.
Lets AI retain conversation memory for more consistent long-term collaboration.
Give Claude Code cross-session long-term memory with SQLite full-text search.
Give AI agents persistent memory across sessions with automatic context retrieval.
Give Claude-based agents persistent long-term memory with hybrid semantic retrieval.
Give AI assistants persistent personal memory across MCP clients.