[{"data":1,"prerenderedAt":111},["ShallowReactive",2],{"categories-init":3,"subcategory-agent-orchestration":4,"category-meta-agentic-ai":74,"score-types":76,"pricing-models":97},true,{"subcategory_id":5,"name":6,"slug":7,"description":8,"category_id":9,"display_order":10,"tool_count":11,"tools":12},68,"Agent Orchestration","agent-orchestration","Visual, low-code builders for wiring up LLM agents and workflows on a drag-and-drop canvas — you compose prompts, tools, and control flow without writing framework code. Distinct from Agent Frameworks (code-first SDKs like LangChain, CrewAI, LangGraph): the same job expressed as a visual canvas rather than a library. LangFlow is the reference tool.",20,30,1,[13],{"tool_id":14,"name":15,"slug":16,"tooltip_description":17,"logo_url":18,"logo_bg":19,"pricing_model":20,"learning_curve_score":24,"popularity_score":25,"hosting_assignment_type":26,"hosting_provider_restriction":27,"hosting_target_restriction":27,"hosting_compatible_tool_ids":28,"parent_tool_id":28,"category":29,"subcategory":32,"categories":33,"subcategories":36,"flexibility_score":38,"performance_score":25,"portability_score":39,"is_featured":40,"tags":41,"score_reasonings":67,"published_date":73,"last_updated_date":28},237,"Langflow","langflow","An open-source, low-code visual builder for AI agents and RAG pipelines — drag-and-drop components on a canvas, model- and vendor-agnostic, with every flow exportable as an API or Python code. One of the most-starred AI projects on GitHub.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Flangflow.svg","white",{"slug":21,"display_name":22,"description":23},"open_source","Open Source","Source code is publicly available and free to use, modify, and distribute. No paid plans from the project itself.",2,3,"self_hostable","open",null,{"category_id":9,"name":30,"slug":31},"Agentic AI","agentic-ai",{"subcategory_id":5,"name":6,"slug":7},[34],{"category_id":9,"name":30,"slug":31,"is_primary":3,"display_order":35},0,[37],{"subcategory_id":5,"name":6,"slug":7,"category_id":9,"is_primary":3,"display_order":35},4,5,false,[42,46,50,54,58,62],{"tag_id":11,"name":43,"slug":44,"tag_type":45},"Python","python","technology",{"tag_id":47,"name":22,"slug":48,"tag_type":49},11,"open-source","feature",{"tag_id":51,"name":52,"slug":53,"tag_type":49},12,"Self-hostable","self-hostable",{"tag_id":55,"name":56,"slug":57,"tag_type":49},16,"AI-powered","ai-powered",{"tag_id":59,"name":60,"slug":61,"tag_type":49},18,"Low-code","low-code",{"tag_id":63,"name":64,"slug":65,"tag_type":66},33,"Workflow Automation","workflow-automation","use_case",{"learning_curve":68,"flexibility":69,"performance":70,"portability":71,"popularity":72},"The drag-and-drop canvas and playground let someone assemble a working agent or RAG flow without framework code, which is the lowest barrier to entry in this space.","Model-, API-, and database-agnostic with custom Python components and API\u002Fcode export, though a visual canvas is inherently more constrained than writing orchestration code directly.","Fine for prototyping and moderate production flows, but a visual runtime adds overhead and large complex graphs are harder to optimize than hand-written pipelines.","Open source and self-hostable with no lock-in to a single model or vector store, and flows export to portable API endpoints or Python code.","A visual, drag-and-drop builder for LangChain\u002FLangGraph agents, MIT-licensed with a large plugin ecosystem. It sits alongside Dify and Flowise as one of three comparable visual AI-app builders rather than a standout leader, and visual LLM-app building itself is a narrow slice of AI tooling most developers never open.","2026-09-27",{"category_id":9,"name":30,"slug":31,"description":28,"icon_url":75,"display_order":9,"tool_count":51},"https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Fcategories\u002Fagentic-ai.svg",[77,81,85,89,93],{"slug":78,"name":79,"description":80,"display_order":11},"popularity","Popularity","How widely adopted the tool is in the developer community. 1 = niche; 5 = mainstream and widely used.",{"slug":82,"name":83,"description":84,"display_order":24},"learning_curve","Learning Curve","How quickly a developer can become productive with this tool. 1 = beginner-accessible; 5 = steep, requires significant prior experience.",{"slug":86,"name":87,"description":88,"display_order":25},"flexibility","Flexibility","How much you can customise or extend the tool for your specific needs. 1 = highly opinionated with few escape hatches; 5 = highly flexible.",{"slug":90,"name":91,"description":92,"display_order":38},"performance","Performance","How well the tool performs its primary function. For runtimes: execution speed. For services: throughput and latency. For editors: responsiveness. 1 = slow or resource-heavy; 5 = fast and efficient.",{"slug":94,"name":95,"description":96,"display_order":39},"portability","Portability","How easy it is to migrate away from this tool once you are invested in it. Based on: data\u002Fcode exportability, skills transferability to other tools, and adherence to open standards. 1 = high lock-in; 5 = fully open, skills transfer universally.",[98,99,103,107],{"slug":21,"display_name":22,"description":23,"display_order":11},{"slug":100,"display_name":101,"description":102,"display_order":24},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.",{"slug":104,"display_name":105,"description":106,"display_order":25},"paid","Paid","No meaningful free tier — a subscription or one-time purchase is required to use the tool.",{"slug":108,"display_name":109,"description":110,"display_order":38},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.",1790518775254]