by AnastasiyaW · MCP Server · ★ 30
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 | 30 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 67.1163875543185/100 |
| Open Issues | 15 |
| Last Updated | 2026-10-18 |
| Created | 2026-03-30 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~14k |
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knowledge-space is Curated technical knowledge base: 1287+ dense reference articles across 28 domains. Agent-first format with wiki-links, gotchas, runnable code. Not tutorials — verified references for AI agents and en. It is categorized as a MCP Server with 30 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 30 stars and 5 forks, indicating an active community.