Articles
Harness engineering, context architecture and production agent systems. Plus an archive of earlier work on Redis-based NLP pipelines.
-
The Terraphim Engine: Six Layers, Fifty-Two Crates
How the engine behind this reference architecture is actually decomposed: six layers, single-responsibility crates, and why that boundary discipline is what makes an agent system auditable.
Read -
The MCP-Native Agent Architecture
Why Model Context Protocol is the missing link between probabilistic LLMs and production-grade agent orchestration — a reference architecture drawn from Terraphim
Read -
Harness Engineering for Self-Improving Agents
Proposed reference pattern for supervised feedback loops that make AI agent behavior measurable and improvable
Read
Archive
Earlier work from the Redis and RedisGears era of this project. Kept for reference; not current guidance.