Technical guides for building reliable AI agents
Design workflows with expensive models like Opus, execute forever with cheap models like Haiku. The complete guide to model downgrade economics.
Everything you need to know about persistent state for AI agents. From conversation buffers to enterprise control planes.
How to transfer work between AI agents without losing context. Complete protocol specification with code examples.
In-depth comparison of architecture, state management, multi-agent coordination, and use cases for both frameworks.
Compare all memory types: conversation buffers, vector stores, databases, and control planes. Find the right solution for your agents.
How to build agents that aren't locked into one framework. Portable state, transferable workflows, and future-proof architecture.
The 5 most common failure modes for production agents and practical solutions for each.