# Zilliz — developer ecosystem report

> Vector Database for Enterprise-grade AI and LLM applications

- GitHub org: `zilliztech`
- Category: ai
- Overall score: 54.0 / 100
- Overall rank: #156
- Last refreshed: 2026-08-20

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 67.0 | #143 | ~22% |
| Education | 83.0 | #67 | ~18% |
| AI readiness | 64.0 | #61 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 51.0 | #141 | ~16% |
| Reach | 35.0 | #652 | ~18% |
| Momentum | 39.0 | #350 | ~14% |

## Links

- GitHub: https://github.com/zilliztech
- Website: https://zilliz.com
- Docs: https://docs.zilliz.com

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 38,845 |
| Forks | 4,128 |
| Open issues | 1,341 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [claude-context](https://github.com/zilliztech/claude-context) | 12,389 | TypeScript | Code search MCP for Claude Code. Make entire codebase the context for any coding agent. |
| [GPTCache](https://github.com/zilliztech/GPTCache) | 8,130 | Python | Semantic cache for LLMs. Fully integrated with LangChain and llama_index.  |
| [deep-searcher](https://github.com/zilliztech/deep-searcher) | 8,050 | Python | Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python. |
| [attu](https://github.com/zilliztech/attu) | 3,094 | Shell | The Best GUI for Milvus |
| [memsearch](https://github.com/zilliztech/memsearch) | 2,486 | Python | A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus. |
| [VectorDBBench](https://github.com/zilliztech/VectorDBBench) | 1,163 | Python | Benchmark for vector databases. |
| [feder](https://github.com/zilliztech/feder) | 492 | Jupyter Notebook | Visualize hnsw, faiss and other anns index |
| [knowhere](https://github.com/zilliztech/knowhere) | 378 | C++ | Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN. |
| [akcio](https://github.com/zilliztech/akcio) | 258 | Python | Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate res |
| [vector-graph-rag](https://github.com/zilliztech/vector-graph-rag) | 241 | Python | Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios. |
| [mcp-server-milvus](https://github.com/zilliztech/mcp-server-milvus) | 240 | Python | Model Context Protocol Servers for Milvus |
| [milvus-backup](https://github.com/zilliztech/milvus-backup) | 235 | Go |  Backup and restore tool for Milvus |

## Methodology

Scores are computed from public signals only (GitHub, package registries, docs sites, community platforms). Pillar definitions: https://www.smoower.com/docs.md

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HTML version: https://www.smoower.com/zilliztech
Machine index: https://www.smoower.com/llms.txt · MCP server: https://www.smoower.com/mcp · REST API: https://www.smoower.com/api/v1