Swarms: Build and Deploy Multi-Agent AI Systems
Swarms is a framework for building and deploying multi-agent AI systems with configurable models, tools, and execution control, aimed at ML engineers, agent builders, and AI developers.
About this tool
What is Swarms?
Swarms is a framework for building and deploying multi-agent AI systems. It lets developers configure models, connect external tools, and control agent execution.
Key Capabilities
- Configurable models: Supports multiple model families including claude-opus-4-8, gemini/gemini-2, gpt-5, and others.
- Tool integration: Agents can connect to external tools such as calculate, get_time, search_database, and search_knowledge_base.
- Execution control: Control agent execution loops via parameters like max_loops.
- Batch processing: Supports batch task processing, e.g., analyzing market trends for tech stocks, calculating risk metrics for a portfolio, forecasting revenue growth.
- Streaming: Token streaming across major workflows, with structured events for per-agent UI panels.
- Persistent memory: Supports persistent memory with control over disk writes.
- Error handling: Provides AgentRunError, AgentLLMError, and AgentToolExecutionError exception handling.
Use Cases
- Batch processing agent tasks
- Deploying agents in production
- Connecting agents to external tools
- Building multi-agent workflows
Target
Audience ML engineers, agent builders, AI developers.
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