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Give AI assistants persistent memory, semantic search, and knowledge graph context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Octobrain" yet — see the docs or source repo.
Save the following user preferences and past context to Octobrain, and retrieve relevant memory before future replies: the user prefers concise answers, is building a SaaS product, and cares about pricing strategy.
The AI stores long-term user preferences and automatically recalls them in later conversations.
Search Octobrain for past notes, discussions, and conclusions semantically related to "improving user retention," then summarize them as bullet points.
It returns semantically matched historical content and extracts structured key takeaways.
Store this information in Octobrain and create entity relationships: Project Alpha is owned by product manager Li Hua, targets indie developers, and its core feature is AI writing assistance.
It creates a queryable network of entities and relationships for later lookup by people, projects, and topics.
Give AI assistants persistent structured memory and a personal wiki across sessions.
Give AI assistants persistent emotional memory across conversations with natural forgetting.
Store and recall cross-conversation details with persistent knowledge-graph-based memory.
Let AI assistants read, write, search, and navigate self-hosted Markdown knowledge bases.
Give AI agents persistent memory across sessions with automatic context retrieval.
Connect AI to product knowledge for search, capture, and decision navigation.