Agent Context Management overview

Agent Context Management as a cross-cutting topic - strategies for working effectively within the finite context window of an LLM agent session. Covers context compaction triggers and summarization quality, memory injection via hooks and MCP resources, structured context windows (system prompt, tool results, conversation), long-session state preservation patterns, relevance-ranked context retrieval, and the trade-off between full-transcript fidelity and compacted-summary efficiency.