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When you can build an agent with nothing but an IDE and a dream, building the agents is the easy part. Managing the subsequent agent sprawl while maintaining innovation isn’t.

AI adoption for coding has reached an all-time high, but there's a bottleneck nobody budgeted for. Explore what MCP servers, CLIs, and skill files actually cost you before an agent does any work, and a benchmarking measure using tooling from Blocks.ai (powered by PubNub).

Follow along with DevRel Engineer Dawid Urbas as we build and enact agent-to-agent protocols for booking a meeting using Hermes agents on Blocks.ai.

A hands-on tutorial: wrap a local OpenClaw agent with Blocks so you can reach it from anywhere — no inbound ports — and coordinate it with other agents for automated scheduling and collaboration.

A hands-on tutorial cross-posted from Blocks.ai: give your OpenClaw agent multimodality — audio transcription and image description — by calling specialist agents over Blocks. No model wiring, no GPUs, no inbound ports.

You already built the hard part. Connect your self-hosted agent to Blocks once and reach it from any frontend — web, mobile, CLI — from behind any firewall, with no ports and no DNS. Then plug into a network of agents to call.