AI & ML
Agent memory as a moat: how context compounds
Redis Blog0 views
Base LLM inference is stateless. The model doesn't remember your last conversation, your users' preferences, or the mistake your agent made ten minutes ago. Unless the app supplies persisted context, everything gets discarded after each request. That ...
Source：https://redis.io/blog/compounding-context-memory-as-the-moat/PreviousFresh context: change data capture, not batch ETLNextVector embeddings & language: how models turn words into geometry
Related posts
My fears became spirits on a night staircase: building Haunted Ladder with Kiro
0dev.to
![Embodied AI and Robotics — Ch.23: Human Robot Interaction [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Ffbn7a1c1nj4avqhy57gx.png)
Embodied AI and Robotics — Ch.23: Human Robot Interaction [EN]
0dev.to
![Embodied AI and Robotics — Ch.24: Embodied AGI [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F3umdji1vob209jeeusfd.png)
Embodied AI and Robotics — Ch.24: Embodied AGI [EN]
0dev.to
GitHub Actions matrix from a JSON file that produces no jobs
0dev.to
![Embodied AI and Robotics — Ch.02: Perception Action Loop [KR]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fqm1k8wvw9a4pvnnx8p8g.png)
Embodied AI and Robotics — Ch.02: Perception Action Loop [KR]
0dev.to
![Embodied AI and Robotics — Ch.03: Robot Perception [KR]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fgplpdgf76ac4f5fnpvjh.png)
Embodied AI and Robotics — Ch.03: Robot Perception [KR]
0dev.to