Agency Swarm vs LangChain — 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.

LangChain

LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.

Based on these social mentions, LangChain appears to be a widely-adopted framework for building AI agents, with users actively developing autonomous systems and production applications using it. However, the main concerns center around **production challenges** - users are struggling with monitoring, observability, and safety controls for AI agents, with several people building alternative tools to address LangChain's limitations in these areas. The mentions reveal a **disconnect between development ease and production readiness**, as developers find existing solutions like LangSmith either too expensive, cloud-only, or insufficient for proper debugging of multi-agent systems. Overall, LangChain has strong adoption for AI agent development, but the community is actively seeking better tooling for production deployment and monitoring.

Agency Swarm

LangChain

Agency Swarm

LangChain

Agency Swarm

LangChain