nutthouse/tutti

Multi-agent orchestration CLI — your agents, all together

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Summary Information

Updated 49 minutes ago
Added to GitGenius on August 31st, 2026
Created on March 12th, 2026
Open Issues & Pull Requests: 19 (+0)
Number of forks: 10
Total Stargazers: 116 (+0)
Total Subscribers: 0 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.2 hours
Mean response time: 34.1 hours
90th percentile: 4.6 days
Tracked items: 49

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 4% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 15
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 151 days
Stale 30+ days: 14
Stale 90+ days: 14

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (51)
  • autonomy (42)
  • agent-ops (38)
  • v0.2 (16)
  • phase-3 (9)
  • dogfood-now (7)
  • phase-1 (6)
  • phase-4 (5)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Tutti is a multi-agent orchestration CLI that coordinates the execution of multiple AI agents working together on tasks.

The tool addresses the challenge of managing interactions between multiple agents that need to collaborate toward shared goals. Rather than running agents in isolation, Tutti provides a framework for orchestrating how agents communicate, share context, and coordinate their work. The approach centers on treating agent orchestration as a first-class concern, giving developers explicit control over how agents are sequenced and how information flows between them.

Developers should consider Tutti if they are building systems where multiple specialized agents need to work in concert rather than independently. It suits projects where agent coordination logic would otherwise be scattered across application code or where you need visibility into how agents interact. The tool is particularly relevant for workflows that benefit from structured agent collaboration patterns rather than ad-hoc agent chaining.

The project shows active development with regular commits addressing both core functionality and user-facing improvements. Work spans infrastructure refinement, feature expansion to support new orchestration patterns, and responsiveness to issues raised by users. The codebase receives ongoing attention to code quality and maintainability alongside feature development.