Swarm

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Acting as a global nervous system for AI assistants, Swarm transforms disparate AI agents like Claude and Cursor into a cohesive, coordinated team. It tackles the common challenges of multi-agent environments, such as conflicting edits, redundant work, and context loss, by enabling agents to communicate, share memory, and prevent file conflicts through smart locking. The platform also facilitates leadership with an automatic orchestrator, ensuring smooth project execution and continuity across shifts, ultimately allowing AI teams to collaborate on complex projects seamlessly.

Características Principales

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• Unified AI Agent Coordination: Connects diverse AI agents into a collaborative team with shared context and communication.
• Self-Learning Task Routing (SONA): Intelligently assigns tasks based on agent expertise, complexity classification, and continuous performance learning.
• Smart File & Git Management: Prevents conflicts with file locking, manages Git worktrees, and provides instant code snapshots for rollbacks.
• Mixture-of-Experts (MoE) Router: Dynamically selects the optimal AI model for tasks, optimizing for cost, performance, and quality across 21 integrated models.
• Enhanced Security (AIDefence): Detects and mitigates threats like prompt injection, jailbreaks, and malicious code with real-time analysis and a quarantine system.

Casos de Uso

• Optimizing AI model usage and costs by intelligently routing tasks to the most suitable and cost-effective models or executing simple tasks without LLMs.
• Automating code reviews, debugging, documentation generation, and quality assurance cycles within an AI-driven development pipeline.
• Coordinating multiple AI agents on complex software development projects to ensure seamless collaboration and prevent conflicts.