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Semantic memory search, traversal, and write-back for your notes and chats.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "moss-brain" yet — see the docs or source repo.
Search my notes, documents, and chat history for “vector databases,” and list the most relevant items and related clues.
Returns semantically relevant results with related-content clues.
Starting from “project requirement changes,” traverse related content to find older discussions and decision records that may be affected.
Outputs a chain of related items to help trace context.
Write this meeting conclusion back into my knowledge base as searchable memory: …
Saves the content as searchable semantic memory.
Use it when you remember the gist but not the exact location. It searches notes, documents, and chat history semantically to recover background, related discussions, and past decisions.
After a meeting, write conclusions and key points back so they can be found later. It helps turn scattered information into reusable long-term memory.
When you need to expand from one topic, it can follow related content to uncover more clues. It is useful for research, writing, and planning.
It is an MCP server that provides semantic memory for local notes, documents, and chat histories. It supports search, related-content traversal, and write-back.
Based on the available information, it works from local embeddings of your content. No further installation or runtime details are provided; see the source repository.
It focuses on semantic retrieval and related-content traversal, not just keyword matching. That makes it better for finding context in notes and chats.
Build a self-maintaining knowledge base with search, autolinks, and memory compression.
Give language models persistent memory for onboarding, rule recall, and consistent coding.
Search, update, and safely grow a cited, auditable shared knowledge base.
Sync Gmail, Drive, and Calendar locally for search and context retrieval.
Connect IDE notes to local MemOS for a shared AI knowledge base
Provides shared persistent knowledge-graph memory across Claude installations with concurrent access.