crewswarm started from a simple observation: one person driving one coding agent is still too sequential. Real software work needs planning, implementation, testing, fixes, and review moving together.
So we built the orchestration layer around that workflow. The human acts more like the PM, the agents act more like the engineers, and the whole system runs locally with your models, your keys, and your files.
What we are actually building
crewswarm is not just another chat wrapper. It is a local-first operating layer for AI engineering:
- Parallel specialist agents: planners, coders, QA, fixers, docs, and more.
- Multiple engine lanes: Claude Code, Cursor, Codex, Gemini, OpenCode, and crew-cli.
- Provider flexibility: use your own API keys, local models, or both.
- Local control: your code and runtime stay on your machine unless you choose otherwise.
Local-first on purpose
We think the default for serious engineering should be local control, not blind dependency on one hosted platform. crewswarm is designed so your files, keys, and execution surfaces stay under your control.
Open source and inspectable
Everything important is in the open on GitHub. The goal is not to hide magic prompts behind a black box, but to build a system developers can inspect, run, adapt, and trust.