spinabot/brigade

Brigade — Your personal intelligence, built enterprise-grade

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Summary Information

Updated 47 minutes ago
Added to GitGenius on September 17th, 2026
Created on June 19th, 2026
Open Issues & Pull Requests: 9 (+0)
GitHub issues: Enabled
Number of forks: 50
Total Stargazers: 4,896 (+0)
Total Subscribers: 6 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.3 hours
Mean response time: 2.9 days
90th percentile: 8.5 days
Tracked items: 4

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

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

Top labels

  • bug (4)

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Detailed Description

Brigade is an agent runtime that orchestrates autonomous AI agents to execute complex tasks through multi-agent collaboration.

Brigade addresses the challenge of coordinating multiple AI agents to work together on sophisticated problems. The tool provides a framework where autonomous agents can be deployed, managed, and synchronized to accomplish objectives that would be difficult for a single agent to handle. It operates as an enterprise-grade system designed to support personal intelligence capabilities at scale, enabling agents to communicate and coordinate their efforts within a structured runtime environment.

Teams building systems that require multiple AI agents working in concert should consider Brigade. It suits projects where task complexity demands agent specialization and collaboration rather than single-agent approaches. The tool is positioned for developers who need production-ready infrastructure for multi-agent systems, particularly those prioritizing enterprise reliability alongside AI capabilities.

The project shows active development with regular commits across its codebase. Work spans multiple areas including core runtime functionality, agent coordination mechanisms, and integration points. The maintainers demonstrate responsiveness to issues and pull requests, indicating ongoing engagement with the user base. Development activity reflects attention to both feature expansion and stability maintenance across the agent orchestration system.