- Stars
- 52,137
- License
- CC-BY-4.0
- Last commit
- 1 month ago
Best AI Agent Frameworks Tools
Explore leading tools in the AI Agent Frameworks category, including open-source options and SaaS products. Compare features, use cases, and find the best fit for your workflow.
10+ open-source projects · 3 SaaS products
Top open-source AI Agent Frameworks
These projects are active, self-hostable choices for knowledge management teams evaluating alternatives to SaaS tools.
- Stars
- 40,970
- License
- MIT
- Last commit
- 3 days ago
- Stars
- 35,668
- License
- Apache-2.0
- Last commit
- 3 days ago
- Stars
- 26,197
- License
- MIT
- Last commit
- 3 days ago
- Stars
- 24,222
- License
- Apache-2.0
- Last commit
- 16 days ago

Claude Code Plugins
Modular AI agents and plugins for end-to-end software development
- Stars
- 21,654
- License
- MIT
- Last commit
- 19 days ago
Build autonomous multi-agent AI applications with a flexible framework
Mastra provides a modern TypeScript stack to prototype, deploy, and scale AI-powered applications, offering model routing, autonomous agents, graph workflows, human-in-the-loop, and built-in observability.
Popular SaaS Platforms to Replace
Understand the commercial incumbents teams migrate from and how many open-source alternatives exist for each product.
CrewAI
Multi-agent automation framework & studio to build and run AI crews
LangGraph
Open-source framework for building stateful, long-running AI agents
Relevance AI
No-code platform to build a team of AI agents with rich integrations
CrewAI lets teams design 'crews' of collaborating agents in a visual Studio or via Python APIs, equip them with tools (e.g., Gmail, Slack, Salesforce, HubSpot, Notion), and observe/optimize executions—so you can orchestrate reliable multi-step workflows.
Frequently replaced when teams want private deployments and lower TCO.
Explore related categories
Browse neighbouring categories in ML & AI to widen your evaluation.
- AI App BuildersPlatforms that generate production web apps from natural-language prompts, producing runnable code (repo/PR/deploy) with iterative editing.
- AI Application Frameworks & OrchestrationBuild AI apps/agents with tools, retrieval, prompts and routing graphs.
- AutoML ToolsAutomated modeling and pipeline tooling for selection and tuning.
- Conversational AI PlatformsPlatforms to design, build, and deploy chat/voice assistants with NLU/dialogue, channels, policies, analytics, and hosting.
- Data Labeling & AnnotationAnnotate images, text and audio with workflows, QA and datasets.
- Feature StoresManage, compute and serve shared ML features across offline/online flows.




