Self-improving agents get better via context, memory, and eval loops, not retraining. A no-hype guide grounded in ACE, Voyager, and Reflexion research.

A semantic layer is context engineering for structured data. Benchmarks show governed definitions lift AI agent accuracy by 17 points. See why and how.

The best context engineering tools in 2026, organized by layer: memory, retrieval, MCP, observability, and governed data context. Top tools by layer.

Context engineering vs RAG: RAG is one retrieval technique inside Context Engineering. Full 2026 Guide.

Context rot is the drop in LLM accuracy as input grows. See the benchmark evidence across 18 frontier models and the context engineering fixes.

A context window is the maximum tokens an LLM can process at once. Compare current sizes for GPT, Claude and Gemini. Verified September 2026.