FareedKhan-dev/advance-contextual-engineering
Contextual Engineering Pipeline
Implements a full-stack memory pipeline for AI agents covering distillation (capturing conversation insights live), context injection (rendering state into prompts intelligently), consolidation (merging session notes into long-term memory with importance scoring and writer-critic validation), and multi-layer security guardrails. Built on OpenAI's Agents SDK with LiteLLM routing support, it separates structured profile data from unstructured narrative memories and includes systematic evaluation frameworks for measuring capture quality, injection effectiveness, and consolidation safety through A/B testing and drift simulation.
Stars
10
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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