by Lyra-stellAI · MCP Server · ★ 281
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Build your own LLM-native WIKI (knowledge library). Search, extract, summarize, Q&A with contextual RAG, layered knowledge graph, and reinforced memory. Importantly use selected context to automatically generate skills, empowered by Claude subagents + CodeAct pipeline and gated by human review. **Try Live Demo**: https://byo-wiki-demo.vercel.app
| Stars | 281 |
| Forks | 3 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 56.8294990909438/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-29 |
| Created | 2026-05-18 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~13k |
These tools work well together with BYO-LLM-WIKI for enhanced workflows:
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BYO-LLM-WIKI is Build your own LLM-native WIKI (knowledge library). Search, extract, summarize, Q&A with contextual RAG, layered knowledge graph, and reinforced memory. Importantly use selected context to automatical. It is categorized as a MCP Server with 281 GitHub stars.
BYO-LLM-WIKI is primarily written in Python. It covers topics such as agentic-ai, autonomous-agents, deep-agents.
You can find installation instructions and usage details in the BYO-LLM-WIKI GitHub repository at github.com/Lyra-stellAI/BYO-LLM-WIKI. The project has 281 stars and 3 forks, indicating an active community.
The top alternatives to BYO-LLM-WIKI on Agent Skills Hub include DeepMCPAgent, sre, nocturne_memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: