Agency Swarm vs Agno — Comparison

Agency Swarm

Reliable Multi-Agent Orchestration Framework. Contribute to VRSEN/agency-swarm development by creating an account on GitHub.

This framework continues the original vision of Arsenii Shatokhin (aka VRSEN) to simplify the creation of AI agencies by thinking about automation in terms of real-world organizational structures, making it intuitive for both agents and users. If you hit environment issues, see the Installation guide. or convert from OpenAPI schemas: In Agency Swarm, communication flows are directional. The operator defines allowed initiations (left can initiate a chat with right). On first run, Agency Swarm sets up the terminal app automatically, shows a short setup message, and reuses it on later runs. See the terminal workflow guide: https://agency-swarm.ai/core-framework/agencies/agent-swarm-cli Need sync? agency.get_response_sync(...) exists, but async is recommended. Recommended agent folder structure: This structure ensures that each agent has its dedicated space with all necessary files to start working on its specific tasks. The tools.py can be customized to include tools and functionalities specific to the agent's role. For details on how to contribute to Agency Swarm, please refer to the Contributing Guide. Agency Swarm is open-source and licensed under MIT. Reliable Multi-Agent Orchestration Framework There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. There was an error while loading. Please reload this page.

Agno

Agno pairs the fastest framework available with the first enterprise-ready agentic operating system, AgentOS. Build, run, and manage secure multi-agen

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Agency Swarm

Agno

Agency Swarm

Agno

Agency Swarm

Agno