This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0 which have invested both resources and time to solve this problem. - Source: dev.to / about 2 months ago

Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good memory tools also know how to supersede and delete memories, which matters once the agent has more autonomy. - Source: dev.to / 3 months ago

We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 4 months ago

My friends and I are working on https://supermemory.ai, an AI second brain to help you remember content from saved webpages and notes. - Source: Hacker News / about 2 years ago

I use Kanata for an additional experiment: turning the keyboard into a mouse. - Source: dev.to / about 2 months ago

Kanata: A cross-platform remapper focused on advanced features like tap-hold, home row mods, and custom combos. - Source: dev.to / 3 months ago

This post explains how we use Kanata to turn the home and bottom rows of a standard keyboard into a high-performance modifier engine. - Source: dev.to / 3 months ago

Scroll Lock is really good key for that in my opinion. If your keyboard does not have it exposed then you can use some remapping program like https://github.com/jtroo/kanata. - Source: Hacker News / 7 months ago