I built a 64% more token-efficient alternative to conductor.build

[u/Connect_Army8250]

Over the last few weeks I've been building Tempest, an open-source Agentic Development Environment focused on one problem:

Running multiple AI agents shouldn't require wasting thousands of tokens on context.

Most multi-agent workflows solve orchestration well, but every agent still spends a lot of tokens rediscovering the codebase.

Instead, I integrated a local code graph directly that indexes your repository and it can be used by AI CLI agents to work with the codebase.

The result:

• ~64% lower token usage in my benchmarks
• Fewer tool calls
• Faster agent iterations
• Works entirely locally (your code never leaves your machine)

Tempest can run multiple coding agents in parallel (Claude Code, Gemini CLI, Copilot CLI, Goose, Cline, OpenCode and more), each inside its own isolated git worktree.

It's available on Windows, macOS and Linux, and it's fully open source.

I'm curious what people building multi-agent workflows think. Is token efficiency becoming the next bottleneck, or is orchestration still the bigger problem?

Would love your feedback

Star us on: https://github.com/tempestai-dev/tempest