braindb
dimknaf
An "LLM wiki" upgraded to a real database — typed entities, graph relations, HTTP API, and a built-in natural-language agent.
Open dimknaf/braindb → Does not match the four rules.
agentknowledge-graphllmllm-agentllm-memoryllm-wiki
Built for one agent
ships CLAUDE.md and nothing for other agents.
In its own words
▶ Watch the walkthrough: youtu.be/AJ7iMOj4vvA — Karpathy's LLM wiki idea, on a SQL database, driven by REST APIs.
A memory database and REST API for LLM agents. Store and retrieve thoughts, facts, sources, documents, and behavioral rules — with fuzzy + semantic keyword search, graph traversal up to 3 hops, temporal decay, and always-on rule injection. Built to be driven externally by an LLM via HTTP calls.
It also ships with its own internal agent (OpenAI Agents SDK + LiteLLM with pluggable providers — DeepInfra is the recommended default, with NIM / local vLLM / others available via config) so external callers can talk to BrainDB in plain English via a single endpoint instead of orchestrating individual API calls.
Why BrainDB?
Inspired by Karpathy's LLM wiki idea — give an LLM a persistent external memory it can read and write. BrainDB takes that further by adding structure, retrieval, and a graph on top of the "plain markdown files" baseline.
Quoting 6% of the README. Read the rest on GitHub ↗
Read from the repository's git tree on 2026-08-17.