BrainDB FAQs

Question 1

What are the multi-agent orchestration capabilities of BrainDB?

Accepted Answer

BrainDB enables advanced multi-agent coordination through a Signal Protocol, heartbeats, claims, and round-based discussions. It provides an API for agents to interact, claim tasks, and communicate effectively.

Question 2

Does BrainDB support contradiction detection and self-learning?

Accepted Answer

Yes, BrainDB automatically detects conflicting facts across memories. It also features 'Inception Knowledge,' a nightly self-learning pipeline that validates memories against web sources like SearXNG for knowledge enrichment and anti-hallucination.

Question 3

How does BrainDB handle memory storage and retrieval?

Accepted Answer

BrainDB utilizes a 3-Layer Memory System (Raw, Indexed, Entity Graph) and offers Hybrid Search combining Full-Text Search (FTS5) with embeddings for sub-millisecond retrieval with relevance scoring. It also features decision memory and anti-hallucination mechanisms.

Question 4

What is BrainDB and its primary purpose?

Accepted Answer

BrainDB is a local-first, persistent memory system and multi-agent orchestrator for AI agents. It provides structured knowledge storage, hybrid search (FTS5 + embeddings), contradiction detection, and coordination capabilities, all backed by a single SQLite database.

Question 5

Is BrainDB open-source and easy to deploy?

Accepted Answer

BrainDB is an open-source project licensed under AGPL-3.0, designed for local-first deployment. It can be easily self-hosted via Docker for a quick start or on bare metal using Bun, making it flexible for developers.

BrainDB

BrainDB

Key Features

Use Cases

Key Features

Use Cases