← Directory

agency-swarm

Open Source
• Updated Jun 4, 2026, 06:58 PM

Agency Swarm is an open-source Python framework designed to simplify the creation of reliable AI agents using OpenAI's Assistants API.

Use Cases ▼
01

Building conversational chatbots with memory and tool use

02

Automating multi-step data analysis with code interpreter

03

Creating multi-agent systems for task delegation and collaboration

04

Generating content like reports or articles using agent pipelines

05

Prototyping AI assistants integrated with external APIs

What Problem It Solves ▼

Developers often struggle to build robust AI agents that reliably interact with OpenAI's APIs, handle state, and coordinate multiple agents. Agency Swarm solves this by providing a battle-tested framework that handles the underlying API management, tool execution, and agent orchestration, enabling faster development of reliable agent-based applications.

Key Features ▼
✓

Built on top of the latest OpenAI Assistants API for cutting-edge capabilities

✓

Simplifies multi-agent coordination and communication

✓

Open source with active maintenance and community

✓

Modular and extensible with custom tools

✓

Focus on reliability and stateless interaction patterns

Overview

Agency Swarm is an open-source Python framework designed to simplify the creation of reliable AI agents using OpenAI's Assistants API. It provides a structured way to define agents with specific roles, capabilities, and tools, enabling seamless collaboration in multi-agent systems. Built with a focus on reliability and ease of use, Agency Swarm abstracts away the complexities of managing OpenAI API calls, state, and tool integrations, allowing developers to focus on agent logic. Key features include support for the latest OpenAI features like reasoning models, function calling, and code interpreter. The framework likely leverages FastMCP (Model Context Protocol) for stateless agent interactions, ensuring scalability and consistency. With a modular architecture, Agency Swarm can be extended with custom tools and integrations. The project is actively maintained, with frequent commits and a growing community. It provides examples and documentation to help users get started quickly. Developers can build complex agent workflows, from simple chatbots to sophisticated multi-agent systems for tasks like automation, data analysis, and content generation.

Pros & Cons

Pros

+

Built on top of the latest OpenAI Assistants API for cutting-edge capabilities

+

Simplifies multi-agent coordination and communication

+

Open source with active maintenance and community

+

Modular and extensible with custom tools

+

Focus on reliability and stateless interaction patterns

Cons

−

Dependency on OpenAI API, which may incur costs and vendor lock-in

−

Limited to the OpenAI ecosystem, not supporting other LLMs out-of-the-box

−

Documentation may be sparse or evolving for advanced use cases

Similar Tools

LangChain AutoGen CrewAI AgentGPT SuperAGI

More in AI Agents