I've made a few attempts at manually doing this w/ mcp and took a brief look at "claude swarm" https://github.com/parruda/claude-swarm - but in the short time I spent on it I wasn't having much success - admittedly I probably went a little too far into the "build an entire org chart of agents" territory

the main problem I have is that the agents just aren't used

For example, I set up a code reviewer agent today and then asked claude to review code, and it went off and did it by itself without using the agent

in one of anthropic's own examples they are specifically telling claude which agents to use which is exactly what I don't want to have to do:

> First use the code-analyzer sub agent to find performance issues, then use the optimizer sub agent to fix them

My working theory is that while Claude has been extensively trained on tool use and is often eager to use whatever tools are available, agents are just different enough that they don't quite fit - maybe asking another agent to do something "feels" very close to asking the user to do something, which is counter to their training

but maybe I just haven't spent enough time trying it out and tweaking the descriptions

Roo code does this really well with their orchestration mode, there’s probably a way to have a claude.md to do this as well. The only issue with roo is it’s “single threaded” but you do get the specific loaded context and rules for a specific task which is really nice.

the same problem with mcp. as well as claude md. most of the time they aren't used when it would be appropriate. what's the point of this agents and standards when you can't make them reliably being used by your model..

What’s one use case where someone would do this? Very curious.