Orchestrate multiple Claude Code agents in parallel to tackle complex tasks faster. For developers who need to distribute work across concurrent AI agents without managing each one individually.
io.github.robbhimself-1337/claude-army
Local install
STDIO
No auth required
How models use it and what it is built for.
Orchestrate multiple Claude Code agents in parallel to tackle complex tasks faster. For developers who need to distribute work across concurrent AI agents without managing each one individually.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Robbhimself 1337 Claude Army.
Paste any of these into Agent Studio after connecting Robbhimself 1337 Claude Army.
Common questions about connecting and running Robbhimself 1337 Claude Army.
What does claude-army actually do?
It lets you spawn and coordinate multiple Claude Code agents in parallel from a single chat session. Instead of running agents sequentially, you can distribute tasks across many agents working at the same time.
How do I install and get started?
Run `npx claude-army@0.3.1` to install. It uses stdio transport, so it integrates directly with Claude as an MCP server. Check the project repository for configuration details.
Can I control how many agents run at once?
The server orchestrates parallel agents, but specific concurrency limits and configuration options are documented in the project repository. Start with the install command and refer to the docs for tuning.
What's the difference between this and running agents one at a time?
claude-army runs multiple agents concurrently, so tasks complete faster. Sequential execution would take N times longer if you ran N tasks one after another.
Is there a cost or rate limit?
Costs depend on your Claude API usage—more parallel agents means more concurrent API calls. Check Anthropic's pricing and rate limits, and the project docs for any server-specific constraints.
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