What is BrainDB and how does it work?

BrainDB is an open-source AI agent memory store using SQLite + FTS5 for keywords, BLOB embeddings for similarity, and hybrid fusion. Single file, TypeScript/Bun, GitHub AGPL.

SQLite vs vector databases for AI agent memory?

SQLite wins on latency (<1ms), cost ($0), offline use for most agents under 10k memories. Vectors for massive scale only.

How to set up BrainDB for my AI agent?

Clone github.com/beckfexx/BrainDB, bun install, import the DB class. Add memories, query hybrid—runs anywhere Bun does.

🤖 AI & Machine Learning

SQLite + FTS5 Delivers AI Agent Memory at Lightspeed, No Servers Needed

Q: How to set up BrainDB for my AI agent?

Clone github.com/beckfexx/BrainDB, bun install, import the DB class. Add memories, query hybrid—runs anywhere Bun does.

Your AI agent just queried 4,300 memories in 0.8ms—from a single SQLite file. Vector DBs? They're still buffering at 50ms while you're paying up.

theAIcatchup Apr 09, 2026 4 min read

Latency and cost comparison chart: SQLite FTS5 vs Pinecone for AI agent memory storage

⚡ Key Takeaways

SQLite + FTS5 delivers sub-1ms AI memory search in one file, beating Pinecone's 50-200ms latency. 𝕏
Zero cost, instant setup, offline—ideal for edge AI agents, not enterprise bloat. 𝕏
Hybrid search with type boosts and decay makes retrieval agent-smart, beyond raw vectors. 𝕏

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#AI Agent Memory #BrainDB #FTS5 #SQLite #vector databases

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