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Gives AI coding agents persistent memory and semantic file discovery across sessions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RLM Memory MCP Server" yet — see the docs or source repo.
Please read the saved project memory, summarize which modules I changed last time and what tasks remain, then continue the user login refactor.
A summary of prior work, relevant context, and actionable refactor steps or code changes.
Find the files most relevant to permission checks, middleware interception, and role-based access control, and explain each file's role.
A list of relevant files with semantic-match explanations and useful investigation clues.
Store in long-term memory the reasons, impact scope, and follow-up notes for switching the cache layer from Redis client A to client B.
The key decision is saved as reusable memory for future sessions and continued development.
Give AI agents persistent memory, shared reasoning, and auditable collaboration.
Enable AI assistants to store, search, and manage persistent semantic memories.
Enable AI to manage research memory in Obsidian across sessions.
Give AI agents persistent memory and semantic retrieval across conversations.
Manage persistent agent memories across global or repository-specific scopes.
Give AI agents persistent memory with semantic search and automatic linking.