by dimknaf · Agent Tool · ★ 97
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▶ 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. vs. RAG. RAG is stateless: embed documents, retrieve similar chunks on every query, stuff them into context. There's no notion of an entity that persists,
| Stars | 97 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.3398586694793/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-26 |
| Created | 2026-04-12 |
| Platforms | python |
| Est. Tokens | ~18k |
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braindb is An "LLM wiki" upgraded to a real database — typed entities, graph relations, HTTP API, and a built-in natural-language agent.. It is categorized as a Agent Tool with 97 GitHub stars.
braindb is primarily written in Python. It covers topics such as agent, knowledge-graph, llm.
You can find installation instructions and usage details in the braindb GitHub repository at github.com/dimknaf/braindb. The project has 97 stars and 7 forks, indicating an active community.
braindb is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to braindb on Agent Skills Hub include Awesome-AI-For-Security, mem0-mcp, edsl. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.