endee vs self-hosted-ai-starter-kit
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| endee | self-hosted-ai-starter-kit | |
|---|---|---|
| Tagline | High-performance open-source vector database for AI search | Self-hosted AI Starter Kit |
| Stars | 1.3k | 15k |
| Forks | 1.7k | 3.8k |
| Open issues | 31 | 6 |
| Language | C++ | - |
| License | AGPL-3.0 | Apache-2.0 |
| Last pushed | Jun 29, 2026 | Jan 6, 2026 |
| Categories | Vector Databases | Vector Databases, Data & Retrieval, LLM Frameworks, AI Agents, Inference & Serving |
endee
Endee is a high-performance vector database optimized for handling up to 1B vectors on a single node. It supports efficient indexing and retrieval, making it suitable for RAG pipelines, semantic and hybrid search.
C++
self-hosted-ai-starter-kit
An open-source Docker Compose template initializing a local AI development environment with self-hosted n8n platform, Ollama, Qdrant, PostgreSQL.