kayba-ai/Context-Engineering-For-Agents

📚 Practical guide to context engineering for AI agents. Why context fails, how memory works, and techniques that actually help.

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This guide helps you improve how your AI assistants (agents) understand and act on information. It explains how to give your agents only the most relevant details to prevent confusion and errors. You'll learn to manage the information your agents receive, ensuring they get the right facts and instructions at the right time, leading to more accurate and reliable automated tasks. This is for anyone who builds or manages AI agents and wants them to perform better.

Use this if your AI agents struggle with accuracy or consistency, or if they seem to 'forget' important details in longer tasks, even with a lot of information provided.

Not ideal if you're looking for a coding library or an API to directly implement, as this is primarily a conceptual guide to strategies and principles.

AI-agent-development prompt-engineering AI-workflow-optimization AI-performance-tuning information-retrieval
No License No Package No Dependents
Maintenance 6 / 25
Adoption 4 / 25
Maturity 5 / 25
Community 0 / 25

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Dec 02, 2025

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