strands-agents/tools
A set of tools that gives agents powerful capabilities.
What it solves
Strands Agents Tools provides a comprehensive library of ready-to-use tools that allow AI agents to interact with the real world. It bridges the gap between a language model's reasoning and practical execution by providing standardized interfaces for file management, web browsing, system commands, and third-party API integrations.
How it works
The project offers a collection of tool providers and functions that can be plugged into an agent. These tools allow the agent to perform specific actions—such as reading a file, executing a Python script, or searching the web—and return the results back to the model. It supports advanced agentic patterns including:
- Multi-Agent Orchestration: Tools for creating DAG-based pipelines, coordinating swarms of agents, and nesting agents as tools within other agents.
- External Integration: A dynamic MCP (Model Context Protocol) client that allows agents to connect to remote servers and load tools at runtime.
- Memory Systems: Integration with Mem0, MongoDB Atlas, Elasticsearch, and Amazon Bedrock for persistent user and agent memory.
- Automation: Tools for desktop automation (mouse/keyboard), browser control via Chromium, and task scheduling via cron.
Who it’s for
Developers building AI agents who need a wide array of pre-built capabilities without writing custom integration code for every external service or system operation.
Highlights
- System & File Access: Secure shell integration, file editing with syntax highlighting, and Python REPL with state persistence.
- Web Capabilities: Deep integration with Tavily and Exa for AI-optimized search, crawling, and content extraction.
- Agentic Frameworks: Support for multi-agent graphs, swarm intelligence, and nested agent workflows.
- Broad Integration: Built-in clients for Slack, AWS, and various vector databases for memory.
- Multimodal Tools: Capabilities for generating and processing images, video, and audio.