Agency provides a Go library for developers building applications with large language models.
Swarms Framework
Swarms provides an enterprise oriented framework for coordinating multiple AI agents.

About Swarms Framework
Swarms is an open-source Python framework for building, running, and coordinating multiple AI agents. The project describes itself as an enterprise-grade, production-ready multi-agent orchestration framework. Its README describes an agent as an autonomous entity built from an LLM, tools, and memory, and shows how agents can run tasks individually or as part of larger workflows.
The framework includes harnesses for sequential, concurrent, and hierarchical architectures and lists integrations with MCP, x402, and skills. Agents can be set to decide when a task is complete (max_loops="auto") or to run a fixed number of loops. Installation is available through pip, uv, poetry, from source, or a Docker image. Model calls require API keys for the chosen provider, such as OpenAI, Anthropic, or Groq. The source is a repository README, so it does not describe hosted plans or pricing, and known pricing is unknown.
Key features
- Sequential, concurrent, and hierarchical multi-agent architecture harnesses
- Autonomous agent mode where max_loops="auto" lets the agent decide when to stop
- Fixed max_loops setting for tasks with a bounded number of steps
- Optional swarms[fast] install using RouteHub for faster model calls
- Model Context Protocol (MCP) integration listed in the README
- Official Docker image with Swarms and its CLI on Python 3.13
- Installable through pip, uv, poetry, from source, or Docker.
- Supports sequential, concurrent, and hierarchical agent architectures.
- Model calls require API keys for the chosen provider, set through environment variables.
- The README recommends fixed max_loops values for latency- or cost-sensitive production pipelines, so open-ended auto mode is presented as less suited to those cases.
Swarms Framework at a glance
- Website
- github.com/kyegomez/swarms
- Category
- AI & Machine Learning › AI Agent Frameworks
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Swarms Framework alternatives
Tools and sites you could use instead, ranked by how closely they match.
LoongFlow provides agent planning, execution, and summary loops with structured experiential memory.
AIDE provides an LLM agent for machine learning engineering, described as a research project referenced by MLE-bench.
agency-swarm provides a framework for orchestrating multiple AI agents.
CAMEL provides a framework for building and researching systems with multiple AI agents.
The CrewAI repository contains a framework for coordinating role playing autonomous agents.
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Swarms Framework FAQ
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