Readers discussing how to manage AI-agent context across clients and projects largely recommend building custom lightweight harnesses and workflows rather than relying on one tool. Suggested practices include gatekeeper scripts that force wiki/documentation updates, semantic search over project knowledge, commit-linked chats, issue trackers and write-only ledgers for coordination, plus sandboxing agents and keeping granular usage data. Commenters also stress managing one's own attention and mental load, and staying ready to ditch tools as the fast-changing ecosystem evolves.