AiBrain FAQs

Question 1

What is AiBrain and what is its primary purpose?

Accepted Answer

AiBrain is an AI agent memory server that provides robust memory management. Its primary purpose is to equip AI agents with advanced information retrieval through hybrid BM25 full-text and vector semantic search capabilities.

Question 2

How does AiBrain ensure efficient information retrieval?

Accepted Answer

AiBrain employs a sophisticated hybrid search mechanism, combining BM25 full-text and vector semantic search with Reciprocal Rank Fusion, ensuring optimal recall and highly relevant search results for AI agents.

Question 3

Which memory management tools does AiBrain offer?

Accepted Answer

AiBrain provides 6 core memory management tools: `save_memory`, `search_memories`, `get_recent_memories`, `get_memory` (by ID), `delete_memory` (by ID), and `list_tags`, giving AI agents comprehensive control over their memory.

Question 4

Does AiBrain require external dependencies or complex setup?

Accepted Answer

No, AiBrain is designed for simplicity with zero external dependencies. It embeds LanceDB and uses local ONNX embeddings via Transformers.js, eliminating the need for separate servers or complex configurations. The embedding model downloads automatically on first run.

Question 5

Where does AiBrain store the memories?

Accepted Answer

AiBrain ensures persistent storage of all memories in a configurable local directory, defaulting to `~/.aibrain/memories`. This provides reliable, local data storage without reliance on external databases.

AiBrain

AiBrain

主要功能

使用案例

主要功能

使用案例