Agency Swarm - Why It’s Better Than CrewAI & AutoGen
AI Summary
Summary: Review of Agency Swarm
- Introduction
- AI agents are trending in artificial intelligence.
- The video reviews Agency Swarm, comparing it to other frameworks like Crew AI and Autogen.
- A web search agent developed using Agency Swarm is demonstrated.
- The full code is available on GitHub.
- Agency Swarm Overview
- Customizable agent roles, similar to other frameworks.
- Full control over prompts, avoiding interference with user-written prompts.
- Tool creation for custom tools within the framework.
- Effective communication using a custom tool for agent orchestration.
- State management using OpenAI’s assistance API, which is different from other frameworks.
- Agency Swarm is designed for production deployment.
- Technical Details
- The developer’s philosophy emphasizes a lightweight approach to prompts and agent workflows.
- Agency Swarm uses the assistance API for better state management and future-proofing.
- The framework is compared with others for cost and ease of use.
- Agency Workflow
- The workflow involves a manager agent and a researcher agent.
- The manager agent breaks down tasks and coordinates with the researcher agent.
- The researcher agent uses tools to search the web and scrape websites.
- Prompts are provided for both agents, with a shared mission statement for collective goals.
- Custom Tools
- Tools are created as wrappers around a base tool provided by Agency Swarm.
- Descriptions and instructions are provided for each tool.
- A
run
method is defined for tool execution.- Agent Orchestration
- Agent orchestration is defined in a workflow graph.
- Communication between agents is specified, with the manager agent directing the researcher.
- Shared instructions are set for all agents.
- Demonstration and Cost
- The framework is tested with both GPT-3.5 Turbo and GPT-4 models.
- Agency Swarm performs better with the GPT-4 model.
- The cost of running queries is considered high.
- Verdict on Agency Swarm
- Agency Swarm is user-friendly and well-documented.
- It is preferred over Autogen and Crew AI for ease of use.
- The use of the assistance API is forward-thinking but still in beta.
- Not recommended for production yet due to the beta status of the assistance API and cost considerations.
- The framework shows promise for future production use once the assistance API is fully released.
- Call to Action
- Viewers are encouraged to check out the GitHub repository, like the video, share opinions, and subscribe for more AI content.