Your AI agent doesn't have a memory. It has a transcript.
📰 Dev.to · Deola Adediran
Learn how AI agents use transcripts instead of traditional memory and how to build a memory layer that forgets on purpose
Action Steps
- Build a simple AI agent using a framework like Rasa or Dialogflow to understand how transcripts work
- Configure the agent to store conversations in a database or file
- Test the agent's ability to recall previous conversations and identify limitations
- Design a memory layer that intentionally forgets certain information to improve performance
- Apply the memory layer to the AI agent and evaluate its effectiveness
Who Needs to Know This
Developers and AI engineers working on chatbots and virtual assistants can benefit from understanding how AI agents process and store information
Key Insight
💡 AI agents use transcripts to store and recall conversations, but this can be limited and may require a custom memory layer to improve performance
Share This
🤖 Did you know your AI agent doesn't have a memory? It uses a transcript instead! 📝
Key Takeaways
Learn how AI agents use transcripts instead of traditional memory and how to build a memory layer that forgets on purpose
Full Article
Notes from building a memory layer that forgets on purpose. Most "memory-enabled" agents don't...
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