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luvus

by RizRiyz

Terminal mission control for running and inspecting AI agents

Rust
Updated Sep 5, 2026
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What It Does

Provides a terminal-based mission control for running and managing AI agents. Uses a TUI and terminal-multiplexer patterns to spawn, monitor, and interact with multiple agent instances and coding skills from a single workspace. Focuses on developer ergonomics for debugging agent workflows and stitching together codex/claude-based agents in Rust. This approach aligns with key patterns like the Event-Driven Agent Pattern Event-Driven Agent Pattern and the Agent Registry Pattern Agent Registry Pattern.

Why It Matters

As agent fleets grow, lightweight developer tooling that makes interactions visible and debuggable becomes essential for establishing trust and reproducibility. Luvus surfaces runtime behavior, logs, and workspace context so teams can inspect agent decisions and failure modes directly. That visibility is a practical step toward measuring agent reliability, tracking agent-to-agent interactions, and creating reproducible evaluation traces. This governance perspective is reinforced by the Supervisor Pattern Supervisor Pattern.

When to Use

Developers and research teams who want a fast, local TUI to run, debug, and visually orchestrate multiple coding agents and skills.

Applications

  • Inspecting agent logs and outputs interactively when debugging agent failures
  • Running multiple coding agents and skills side-by-side during development
  • Creating reproducible local workspaces to capture agent interactions for later evaluation
Works With
openaianthropicclauderust
Topics
agentagent-orchestrationaiclaudeclaude-codecodexcodex-skillcoding-agentcoding-agentskimi+9 more
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Keywords
multi-agent orchestrationmission controlagent debuggingtui