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Give AI agents persistent memory with search, tags, and importance ranking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "haksnbot-memory" yet — see the docs or source repo.
Please save the following to long-term memory: the user prefers concise replies, uses Chinese, and focuses on API performance optimization. Add tags "user-preference" and "api" to each memory and set medium importance.
A confirmation or stored memory records showing content, tags, and importance.
Search memories related to "release process", prioritizing items tagged "deploy" or containing the keywords "rollback" and "launch checklist", and return the top 5 by relevance.
A ranked list of relevant past memories for continuing context or follow-up actions.
Write this decision to memory: next quarter we will standardize on vector database solution A because it offers faster retrieval and lower maintenance cost. Set tags to "architecture" and "decision", with high importance.
A high-importance decision memory that can be referenced in future Q&A and planning.
Provide persistent memory for AI agents across sessions and tasks.
Give AI agents persistent local memory with searchable long-term context.
Give AI coding agents persistent cross-project memory and connected context retrieval.
Give AI agents persistent memory with semantic search and automatic memory management.
Give AI agents persistent, searchable structured memory and bidirectional knowledge sync.
Give AI agents associative long-term memory with vague-cue recall and interference detection.