[{"data":1,"prerenderedAt":111},["ShallowReactive",2],{"categories-init":3,"subcategory-agent-frameworks":4,"category-meta-agentic-ai":74,"score-types":77,"pricing-models":98},true,{"subcategory_id":5,"name":6,"slug":7,"description":8,"category_id":9,"display_order":9,"tool_count":10,"tools":11},62,"Agent Frameworks","agent-frameworks","Developer libraries for building AI agents (imported via pip\u002Fnpm into your own code), as opposed to standalone agent applications or no-code agent builders.",20,6,[12],{"tool_id":13,"name":14,"slug":15,"tooltip_description":16,"logo_url":17,"logo_bg":18,"pricing_model":19,"learning_curve_score":23,"popularity_score":24,"hosting_assignment_type":25,"hosting_provider_restriction":26,"hosting_target_restriction":26,"hosting_compatible_tool_ids":27,"parent_tool_id":27,"category":28,"subcategory":31,"categories":32,"subcategories":35,"flexibility_score":37,"performance_score":24,"portability_score":37,"is_featured":38,"tags":39,"score_reasonings":67,"published_date":73,"last_updated_date":27},214,"LangChain","langchain","The dominant open-source framework for building LLM-powered agents and applications — 100M+ monthly downloads, with LangGraph for stateful multi-agent orchestration and LangSmith for observability, tracing, and evaluation.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Flangchain.svg","dark",{"slug":20,"display_name":21,"description":22},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.",3,4,"library","open",null,{"category_id":9,"name":29,"slug":30},"Agentic AI","agentic-ai",{"subcategory_id":5,"name":6,"slug":7},[33],{"category_id":9,"name":29,"slug":30,"is_primary":3,"display_order":34},0,[36],{"subcategory_id":5,"name":6,"slug":7,"category_id":9,"is_primary":3,"display_order":34},5,false,[40,45,49,54,58,62],{"tag_id":41,"name":42,"slug":43,"tag_type":44},1,"Python","python","technology",{"tag_id":46,"name":47,"slug":48,"tag_type":44},2,"JavaScript","javascript",{"tag_id":50,"name":51,"slug":52,"tag_type":53},11,"Open Source","open-source","feature",{"tag_id":55,"name":56,"slug":57,"tag_type":53},13,"Free Tier","free-tier",{"tag_id":59,"name":60,"slug":61,"tag_type":53},16,"AI-powered","ai-powered",{"tag_id":63,"name":64,"slug":65,"tag_type":66},40,"Web","web","platform",{"learning_curve":68,"flexibility":69,"performance":70,"portability":71,"popularity":72},"Basic chains are quick to assemble with the huge library of existing examples, but building genuinely stateful multi-agent workflows with LangGraph, or wiring up LangSmith observability well, takes real investment.","A massive integration ecosystem across models, tools, vector stores, and memory backends, plus LangGraph's low-level orchestration primitives, make it applicable to nearly any agent architecture a developer wants to build.","LangGraph's durable execution and human-in-the-loop support are built for production-grade multi-agent systems, and the framework itself adds minimal overhead since it's a thin orchestration layer over whichever models are configured.","MIT-licensed with no usage limits on the core framework or LangGraph, and provider-agnostic across virtually every major LLM, so there's no lock-in to use it.","The reference point most LLM app tutorials, courses, and third-party integrations are still written against, with the framework reaching a 1.0 release in October 2025. The bleeding edge of the agent-framework conversation has since moved to LangGraph and newer entrants, leaving LangChain the mature, well-trodden starting point rather than what developers are actively buzzing about.","2026-09-27",{"category_id":9,"name":29,"slug":30,"description":27,"icon_url":75,"display_order":9,"tool_count":76},"https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Fcategories\u002Fagentic-ai.svg",12,[78,82,86,90,94],{"slug":79,"name":80,"description":81,"display_order":41},"popularity","Popularity","How widely adopted the tool is in the developer community. 1 = niche; 5 = mainstream and widely used.",{"slug":83,"name":84,"description":85,"display_order":46},"learning_curve","Learning Curve","How quickly a developer can become productive with this tool. 1 = beginner-accessible; 5 = steep, requires significant prior experience.",{"slug":87,"name":88,"description":89,"display_order":23},"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":91,"name":92,"description":93,"display_order":24},"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":95,"name":96,"description":97,"display_order":37},"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.",[99,102,103,107],{"slug":100,"display_name":51,"description":101,"display_order":41},"open_source","Source code is publicly available and free to use, modify, and distribute. No paid plans from the project itself.",{"slug":20,"display_name":21,"description":22,"display_order":46},{"slug":104,"display_name":105,"description":106,"display_order":23},"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":24},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.",1790518757076]