@myradism Thanks for the detailed feedback. A few of these are actually things we’re already working on.
For GPU and resource usage, we’re working on more granular telemetry so you can see which agent/process is actually consuming CPU, RAM, and VRAM instead of just looking at system-wide numbers. We’re also looking at better handling for agents that switch between local compute and external inference APIs.
On the canvas side, we’re working on improving virtualization and batching for high-frequency updates. The goal is for the workspace to stay responsive even when you have 20+ agents running and multiple terminals producing output at the same time.
We’re also exploring per-agent resource limits and scheduling, so you can actually control how much CPU/RAM/GPU each agent is allowed to use. That becomes pretty important once you start running larger workloads on a single machine.
Some of this is already in development and some is still being tested, but these are definitely areas we want to improve as we push 49Agents toward larger multi-agent setups.
Really appreciate you taking the time to give such detailed feedback. It gives us a pretty good list of things to go after next.
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@myradism Thanks for the detailed feedback. A few of these are actually things we’re already working on.
For GPU and resource usage, we’re working on more granular telemetry so you can see which agent/process is actually consuming CPU, RAM, and VRAM instead of just looking at system-wide numbers. We’re also looking at better handling for agents that switch between local compute and external inference APIs.
On the canvas side, we’re working on improving virtualization and batching for high-frequency updates. The goal is for the workspace to stay responsive even when you have 20+ agents running and multiple terminals producing output at the same time.
We’re also exploring per-agent resource limits and scheduling, so you can actually control how much CPU/RAM/GPU each agent is allowed to use. That becomes pretty important once you start running larger workloads on a single machine.
Some of this is already in development and some is still being tested, but these are definitely areas we want to improve as we push 49Agents toward larger multi-agent setups.
Really appreciate you taking the time to give such detailed feedback. It gives us a pretty good list of things to go after next.