I’ll throw out a mention for my project Plandex[1], which predates Claude Code and combines models from multiple providers (Anthropic, Google, and OpenAI by default). It can also use open source and local models.
It focuses especially on large context and longer tasks with many steps.
Have you measured and compared your agent's efficiency and success rate against anything? I am curious. It would help people decide; there are many coding agents now.
Working on it. I’m making a push currently on long horizon tasks, where Plandex already does well vs. alternatives, and plan to include side-by-side comparisons with the release.
Does Plandex have an equivalent to sub-agents/swarm or whatever you want to call it?
I’ve found getting CC to farm out to subagents to be the only way to keep context under control, but would love to bring in a different model as another subagent to review the work of the others.
It focuses especially on large context and longer tasks with many steps.
1 - https://github.com/plandex-ai/plandex