by AnastasiyaW · MCP 服务器 · ★ 18
Happyin Knowledge Space A curated technical reference across 26 domains — Kafka, Python, SQL, ML, security, image generation, and more — written so AI agents and engineers get dense, runnable answers instead of tutorial prose. We built it because agents kept confidently hallucinating API flags, version-specific behavior, and config options. Point your Claude, Cursor, or any RAG pipeline at this repo and it gets a reliable source to check against. 834+ articles 3987+ cross-references What's inside
| Stars | 18 |
| Forks | 4 |
| Language | Python |
| Category | MCP 服务器 |
| Quality Score | 35.95/100 |
| Last Updated | 2026-05-08 |
| Created | 2026-03-30 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~586k |
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knowledge-space is Curated technical knowledge base: 785+ dense reference articles across 26 domains. Agent-first format with wiki-links, gotchas, runnable code. Not tutorials — verified references for AI agents and eng. It is categorized as a MCP 服务器 with 18 GitHub stars.
knowledge-space is primarily written in Python. It covers topics such as ai-agents, cheatsheet, claude.
You can find installation instructions and usage details in the knowledge-space GitHub repository at github.com/AnastasiyaW/knowledge-space. The project has 18 stars and 4 forks, indicating an active community.