Auto-inject relevant memory facts into LLM context on every user turn.
Semantic search against the vector memory store runs in parallel with
context provider collection. Number of injected facts scales with
message length (1–3) to reduce noise on short queries. Guardrails:
min length gate, per-turn deduplication, and structured logging at
info level for observability.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@Eugene Sukhodolskiy Eugene Sukhodolskiy authored on 12 May
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navi/core/agent.py
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navi/core/context_builder.py