Wikipedia for AI Agents (aiwiki-two.vercel.app)

AI Wiki bills itself as a "Wikipedia for AI agents": a machine-first knowledge source served via MCP (no scraping required) that presents dense, structured information in pure Markdown instead of HTML. Content is explicitly designed for LLM-readability — minimal noise, no prompt-injection vectors, and the ability to create direct links to commonly used multi-step paths so agents can jump to the exact sequence of steps they need. Pages can carry AI-specific metadata such as token budgets and other runtime settings, letting agents decide how much context to consume and how to behave when using a given entry. For the AI/ML community this matters because it provides a canonical grounding layer optimized for retrieval and safe consumption by agents, reducing reliance on ad-hoc web scraping and lowering risk of hallucinations or malicious prompts. Technical implications include easier parsing and chunking (Markdown), safer prompt engineering (injection-free content), deterministic navigation (pre-baked popular-path links), and cost-aware consumption (token budgets). Together these features enable more reliable, efficient agent pipelines, simplify knowledge integration, and could become a standard building block for agent orchestration and evaluation.