Problem solved

Fusion addresses the challenge of managing complex, multi-agent workflows that span multiple nodes and platforms by providing structured orchestration with visual task tracking, workflow gates, and isolated execution environments.

Use cases

• Orchestrating multi-agent software development pipelines
• Managing hierarchical mission planning for AI teams
• Visualizing agent tasks on a kanban board
• Enforcing plan-review-execute gates for quality control
• Isolating agent work with per-task git worktrees
• Coordinating agent tasks across multiple compute nodes and platforms
• Automating DevOps workflows with AI agents

Audience

• Developers
• ML Engineers
• Data Scientists
• Researchers

Pros

• Open-source and free to use
• Multi-node and multi-platform support
• Kanban board for visual task management
• Structured plan-review-execute workflow ensures quality
• Per-task git worktrees provide isolation and parallelization

Cons

• Requires Git setup for worktree feature
• May have a steep learning curve for non-developers
• Dependent on external LLM APIs for agent intelligence
• Limited documentation as an early-stage project
• Potential scalability challenges with many nodes