Agent frameworks
Swarms
Broad library of ready-made multi-agent orchestration patterns combined with provider flexibility and bidirectional MCP interoperability.
Overview
Research summary
Swarms is a Python framework for building and orchestrating systems of multiple AI agents. It provides an Agent abstraction plus prebuilt swarm architectures for sequential, concurrent, hierarchical and other coordination patterns, so developers can compose specialized agents without implementing the orchestration layer from scratch. Model access is provider-flexible through its model stack, while MCP integration lets agents consume external tools and also expose agents or swarms as MCP servers.
The project ships both a Python SDK and a CLI and is distributed under Apache-2.0. The maintainers position it for production and enterprise multi-agent workloads; external model providers and connected services retain their own operational and licensing terms.
Repository summary
- Stars
- 7,204
- Open issues
- Unavailable
- Last push
- 2026-09-25
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- 15.0.3
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for Swarms.
Implementation details
Python multi-agent orchestration framework and CLI
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 7,204
- Open issues
- Unavailable
- Last push
- 2026-09-25
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Release information
- Current version
- 15.0.3
- Version source
- recorded
- Version scope
- 2026-09-25
- Version recorded
- 2026-09-25
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 10
- https://www.swarms.ai Project page
- https://github.com/kyegomez/swarms Linked repository · Research reference
- https://docs.swarms.world Documentation · Research reference · Commercial offering evidence
- https://github.com/kyegomez/swarms/blob/master/README.md Research reference
- https://github.com/kyegomez/swarms/blob/master/pyproject.toml Research reference
- https://raw.githubusercontent.com/kyegomez/swarms/HEAD/README.md Research reference
- https://discord.com/api/v10/invites/EamjgSaEQf?with_counts=false&with_expiration=true Research reference
- https://www.youtube.com/channel/UC9yXyitkbU_WSy7bd_41SqQ Research reference
- https://api.github.com/repos/kyegomez/swarms Research reference
- https://www.swarms.ai/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-09-25
- Catalogue snapshot
- 2026-10-06
Community & social 5 channels
Video
- YouTubeKye GomezOfficial
Link details for YouTube — Kye Gomez
- Access
- Public
- Last checked
Communities
- Discorddiscord.gg/EamjgSaEQfOfficial
Link details for Discord
- Access
- Public
- Last checked
- GitHub Discussionsgithub.com/kyegomez/swarms/discussionsOfficialDiscussion
Link details for GitHub Discussions
- Access
- Public
- Last checked
Social & updates
- Xx.com/swarms_corpOfficial
Link details for X
- Last checked
- LinkedInwww.linkedin.com/company/swarms-corpOfficial
Link details for LinkedIn
- Last checked