An open source agent orchestration framework built on top of the latest OpenAI Assistants API.
Agency Swarm started as a desire and effort of Arsenii Shatokhin (aka VRSEN) to fully automate his AI Agency with AI. By building this framework, we aim to simplify the agent creation process and enable anyone to create collaborative swarm of agents (Agencies), each with distinct roles and capabilities. By thinking about automation in terms of real world entities, such as agencies and specialized agent roles, we make it a lot more intuitive for both the agents and the users.
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Handle multi-step workflows autonomously
Example
Schedule meeting β Find time β Send invite β Confirm attendees
Save 5-10 hours/week on routine coordination tasks
Gather data from multiple sources and summarize
Example
Research competitor pricing across 5 websites, create comparison table
Reduce research time from hours to minutes
Analyze options and recommend actions
Example
Review 20 vendor proposals, score against criteria, rank top 3
Make data-driven decisions faster
AI agents combine large language models with tools, memory, and decision-making logic to autonomously complete multi-step tasks without constant human guidance.
Large language model for reasoning and decision-making
Understand tasks, plan steps, generate responses
APIs, databases, external services the agent can call
Take actions beyond text generation (search, compute, write files)
Short-term (conversation) and long-term (persistent) memory
Maintain context across interactions and learn from past actions
Decision engine for choosing next action
Plan multi-step workflows and handle errors/edge cases
Prerequisites
Steps
β Do
β Don't
Key Metrics
Optimization Tips
Agency Swarm reduced evaluation time β saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
I recommend Agency Swarm for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
According to our evaluation, Agency Swarm benefits from clear positioning β fewer buzzwords than typical agent landing pages.
Agency Swarm is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
Agency Swarm is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
Good discoverability: Agency Swarm shows up in the agents directory with enough detail to pre-qualify buyers.
According to our evaluation, Agency Swarm benefits from clear positioning β fewer buzzwords than typical agent landing pages.
We piloted Agency Swarm for two weeks; the registry summary and category tag matched what the product actually emphasizes.
We compared Agency Swarm with three neighbors in the same category; this one had the most concrete βwhat it doesβ framing.
I recommend Agency Swarm for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
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Key Considerations
