by apecloud · MCP Server · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
| Stars | 1,156 |
| Forks | 129 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 36.75/100 |
| Open Issues | 27 |
| Last Updated | 2026-05-01 |
| Created | 2023-06-20 |
| Platforms | mcp, python |
| Est. Tokens | ~3157k |
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ApeRAG is ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment. It is categorized as a MCP Server with 1.2k GitHub stars.
ApeRAG is primarily written in Python. It covers topics such as agents, context-engineering, graphrag.
You can find installation instructions and usage details in the ApeRAG GitHub repository at github.com/apecloud/ApeRAG. The project has 1.2k stars and 129 forks, indicating an active community.
ApeRAG is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ApeRAG on Agent Skills Hub include cocoindex-code, context-space, octocode. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.