I built an external context layer for AI agents - most of it already exists, here's what doesn't

1. 1Identify the key components of the external context layer
2. 2Design a data structure to store the conversation history and context
3. 3Develop an API to interact with the AI agent and update the context layer
4. 4Implement a mechanism to handle rate limits and switch between AI agents seamlessly
5. 5Test the external context layer with multiple AI agents and scenarios

AI engineers and researchers can benefit from this approach to improve the efficiency of their brainstorming sessions with AI agents

💡 Persisting knowledge across sessions can significantly improve the efficiency of human-AI collaboration

🤖 Build an external context layer for AI agents to avoid repetitive explanations and boost productivity! 💡