GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Endee is an efficient vector database capable of managing up to 1 billion vectors on one node, with significant performance boosts from its optimized indexing and execution.
Good fit when
- When you need extreme performance in handling large-scale vector datasets for AI搜索和图像搜索任务。
- 如果你在寻找一个可以安装在一个节点上处理高达10亿个向量的数据库，Endee是一个理想的选择。
Avoid when
- When your project requires a vector database under less permissive licenses than AGPL-3.0.
- 如果您的应用场景对可扩展性和多节点部署有要求，那么Endee可能不是最佳选择。
- Pricing:
- unknown - Information about the pricing model of Endee is not provided in the repository.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (52d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/endee-io/endeeHow it fits your stack(6)
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Overview
Endee.io is equipped with optimized indexing and execution capabilities for significant performance gains, suitable for tasks like AI search and image search.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 20, 2026
- Languages
- c++
Source: github.language · Sep 20, 2026
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README
Getting Started The full installation, build, Docker, runtime, and authentication instructions are in docs/getting started.md. Fastest local path: The server listens on port . For detailed setup paths, supported operating systems, CPU optimization flags, Docker usage, and authent...
For agents
This page has a .md twin and JSON over the API.