MCP wants modular, sandboxed, language-agnostic tools with clean contracts. WebAssembly Components and WASI P2 deliver exactly that—turning fragmented toolchains into a unified, secure, polyglot platform.
When deploying AI agents that execute code, choosing the right compute engine becomes critical. Understanding the trade-offs reveals why successful AI agent platforms need multiple compute options working in tandem.
The gap between AI agent promise and performance isn't about language model power—it's about understanding what individual agents actually need to work effectively.