An index of repositories focused on context management, generation, and processing for AI/LLM systems.
This repository serves as an index of related repositories organized around a common theme.
This index catalogs projects related to context management for Large Language Models (LLMs) and AI agents. It includes tools, pipelines, architectures, and demonstrations for:
- Context generation and crunching
- Voice-to-context workflows
- Personal context storage and management
- Agentic context patterns
- Context data structuring and processing
These projects explore various approaches to providing rich, structured context to AI systems for improved interactions and personalized responses.
Tool for processing and compressing context data
Assistant for chunking context data into manageable pieces
Bot for automated context data generation
Pipeline for converting voice input to structured prompts
N8N workflow for processing voice notes into context
Model for audio-to-context processing
Pattern model for personal context in AI agents
Documentation on waterfall architecture for context systems
Pipeline for vectorizing personal context data
Career-specific context data for AI interactions
Software preferences as AI context
Public personal context repository for LLM interactions
Demo of agentic context development through interviews
Ideation notes for personal context storage systems
Conceptual ideas for personal context repositories
Interactive space for generating context through AI interviews
Web interface for the Context-Cruncher tool
Note: This is a focused index covering context management and processing for AI systems. For a higher-level collection of all repository indexes and other projects, see the GitHub Master Index.