- Stars
- 42,932
- License
- MIT
- Last commit
- 1 day 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
- 37,043
- License
- Apache-2.0
- Last commit
- 23 hours ago
- Stars
- 26,405
- License
- MIT
- Last commit
- 1 day ago

Claude Code Plugins
Modular AI agents and plugins for end-to-end software development
- Stars
- 26,086
- License
- MIT
- Last commit
- 1 day ago
- Stars
- 25,009
- License
- Apache-2.0
- Last commit
- 2 days ago
- Stars
- 20,737
- License
- Apache-2.0
- Last commit
- 1 day ago
Lightning‑fast Python framework for autonomous multi‑agent automation
Kortix is a comprehensive platform that lets you create, customize, and deploy AI agents capable of browser automation, file management, data analysis, and system operations—all via visual tools and Docker isolation.
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.




