CrewAI
Multi-agent automation framework & studio to build and run AI crews
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Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Modular AI agents and plugins for end-to-end software development
A production-ready marketplace of 63 focused plugins, 85 specialized agents, and 47 skills that enable token-efficient, multi-agent orchestration for full-stack development, security, DevOps, and AI workflows.
Claude Code Plugins delivers a production-ready marketplace of 63 single-purpose plugins, each bundling specialized agents and skills. With 85 domain-expert agents covering architecture, languages, infrastructure, security, data/AI, and business, plus 47 progressive-disclosure skills, the system provides token-efficient AI assistance for every stage of software creation.
Add the marketplace with a single CLI command, then install only the plugins you need—e.g., python-development, kubernetes-operations, or full-stack-orchestration. Each installation loads its agents, commands, and skills into Claude’s context, keeping token usage low while allowing you to compose multiple plugins into complex multi-agent workflows. Hybrid orchestration automatically routes planning tasks to Sonnet and execution steps to Haiku, balancing performance and cost. The result is an extensible AI-driven development environment that scales from quick code snippets to end-to-end production pipelines.
When teams consider Claude Code Plugins, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Full-stack feature implementation
Automatically scaffolds backend, frontend, tests, security checks, and deployment for a new OAuth2 authentication flow.
Kubernetes production deployment
Generates Helm charts, GitOps manifests, and security policies, then applies them to a cluster with minimal manual effort.
Comprehensive security hardening
Runs multi-agent SAST, dependency scanning, and code-review audits, delivering a prioritized remediation report.
Python microservice scaffolding
Creates a FastAPI project with async patterns, pytest suite, and UV package manager configuration.
Use `/plugin marketplace add <repo>` then `/plugin install <plugin-name>`; each installation loads only its agents, commands, and skills.
The system uses a hybrid orchestration of Haiku for fast deterministic tasks and Sonnet for complex reasoning, automatically assigned per workflow.
Yes, plugins are composable; you can invoke multi-agent orchestrators that coordinate agents from different plugins.
Token limits are managed per request; loading many agents increases token usage, so you should install only required plugins to stay within model limits.
The repository includes a Plugin Reference catalog, Agent Reference, and detailed usage guides accessible via the `/plugin` command or the online docs.
Project at a glance
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