Spine Swarm: Multi-Agent AI System on Visual Canvas for Non-Coding Projects
Spine Swarm is a multi-agent AI system that operates on an infinite visual canvas designed for complex non-coding projects. The founders argue that chat interfaces are inadequate for complex AI work because they're linear, while real projects aren't linear. They built a workspace where work structure is explicit and user-controllable.
Core Architecture
The system uses blocks as abstractions on top of AI models. There are dedicated block types for:
- LLM calls
- Image generation
- Web browsing
- Apps
- Slides
- Spreadsheets
Blocks can be connected to any other block, with connections guaranteeing context passing regardless of block type. The system is model-agnostic, allowing workflows to move between different AI models within a single project.
Agent Operation
When a user submits a task, a central orchestrator decomposes it into subtasks and delegates each to specialized persona agents. These agents:
- Operate on canvas blocks
- Can override default settings (model and prompt) for each subtask
- Pick the best model for each block
- Sometimes run the same block with multiple models to compare outputs
- Work in parallel when subtasks don't have dependencies
Agents can pause execution to ask for user clarification or feedback before continuing. Once agents produce output, users can select a subset of blocks and iterate on them through chat without rerunning the entire workflow.
Technical Advantages
The canvas provides agents with a persistent, structured representation of the entire project that any agent can read and contribute to at any point. This addresses context degradation issues in typical multi-agent systems by:
- Storing intermediary results in blocks rather than holding everything in memory
- Creating explicit structured handoffs designed for consumption by other agents
- Allowing agents to run longer while keeping context windows clean
Users can dispatch multiple tasks at once, and the system will queue dependent ones or start independent ones immediately.
📖 Read the full source: HN AI Agents
👀 See Also

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