{"id":4689,"date":"2025-12-05T16:30:00","date_gmt":"2025-12-05T16:30:00","guid":{"rendered":"https:\/\/palmer-consulting.com\/agentique-ai-platform-flowise-ai\/"},"modified":"2025-12-05T16:30:00","modified_gmt":"2025-12-05T16:30:00","slug":"agentique-ai-platform-flowise-ai","status":"publish","type":"post","link":"https:\/\/palmer-consulting.com\/en\/agentique-ai-platform-flowise-ai\/","title":{"rendered":"Agentique AI platform: Flowise AI"},"content":{"rendered":"<h2 data-start=\"21567\" data-end=\"21658\">Flowise AI: an open source platform for orchestrating complex agents<\/h2>\n<h3 data-start=\"21660\" data-end=\"21676\">Introduction<\/h3>\n<p data-start=\"21678\" data-end=\"22409\"><strong data-start=\"21678\" data-end=\"21692\">Flowise AI<\/strong> is an open source platform dedicated to the creation and orchestration of agents based on language models. It is presented as a set of modular blocks for building agentic systems, ranging from simple flows to multi-role autonomous agents. What sets Flowise AI apart is its open approach, high flexibility and ability to be self-hosted. In September 2025, Workday announced the acquisition of Flowise AI, underlining the strategic importance of the solution for automating HR and financial processes. This chapter details how Flowise works, its main modules and its role in the generative AI landscape.    <\/p>\n<table>\n<thead>\n<tr>\n<th><strong>Criteria<\/strong><\/th>\n<th><strong>Dust.tt<\/strong><\/th>\n<th><strong>StackAI<\/strong><\/th>\n<th><strong>Flowise AI<\/strong><\/th>\n<th><strong>Bardeen AI<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Positioning<\/strong><\/td>\n<td>Enterprise-oriented intelligent agent platform (AI Operating System).<\/td>\n<td>No-code \/ low-code to simplify the creation of AI automations.<\/td>\n<td>Open-source platform for visually building complex agents.<\/td>\n<td>Personal\/team automation via browser extension &amp; AI workflows.<\/td>\n<\/tr>\n<tr>\n<td><strong>Target audience<\/strong><\/td>\n<td>Medium-sized and large companies, product, data, support and sales teams.<\/td>\n<td>Business teams looking for a simple, fast tool (finance, ops, HR).<\/td>\n<td>Developers &amp; technical teams looking for a high degree of customization.<\/td>\n<td>Solopreneurs, sales people, marketers, productivity-oriented teams.<\/td>\n<\/tr>\n<tr>\n<td><strong>Agent creation<\/strong><\/td>\n<td>\u2713 Multi-stage, contextualized agents connected to the entire internal stack.<\/td>\n<td>\u2713 Simple to moderate AI automations.<\/td>\n<td>\u2713 Advanced multi-agents via visual interface.<\/td>\n<td>\u2713 Simple agents, focused on web automation.<\/td>\n<\/tr>\n<tr>\n<td><strong>Connection to data<\/strong><\/td>\n<td>Strong: Notion, Slack, GitHub, internal documents, CRM, custom APIs.<\/td>\n<td>Good: standard business connectors.<\/td>\n<td>Very strong: 100+ sources, vector DB, RAG pipelines.<\/td>\n<td>Average: mostly web data + Google Sheets + CRM.<\/td>\n<\/tr>\n<tr>\n<td><strong>AI models supported<\/strong><\/td>\n<td>OpenAI, Anthropic, Gemini, Mistral&#8230; (agnostic &amp; scalable).<\/td>\n<td>OpenAI mainly + some third-party models.<\/td>\n<td>Virtually all models via open-source.<\/td>\n<td>Built-in templates for common tasks.<\/td>\n<\/tr>\n<tr>\n<td><strong>Security &amp; compliance<\/strong><\/td>\n<td>SOC2, GDPR, regional hosting, zero-retention model. <strong>Strong enterprise advantage.<\/strong><\/td>\n<td>SOC2, HIPAA, GDPR.<\/td>\n<td>Variable depending on deployment (open-source).<\/td>\n<td>Depends on browser &amp; integrations (less enterprise-ready).<\/td>\n<\/tr>\n<tr>\n<td><strong>Customization<\/strong><\/td>\n<td>Very high (agents, custom tools, deep integrations).<\/td>\n<td>Medium (workflow builder).<\/td>\n<td>Very high (code, nodes, workflows).<\/td>\n<td>Low to medium (mainly templates).<\/td>\n<\/tr>\n<tr>\n<td><strong>User experience<\/strong><\/td>\n<td>Pro &amp; collaborative, designed for teams.<\/td>\n<td>Very accessible &amp; quick to learn.<\/td>\n<td>More technical, dev. oriented.<\/td>\n<td>Very simple, almost plug-and-play.<\/td>\n<\/tr>\n<tr>\n<td><strong>Core strength<\/strong><\/td>\n<td><strong>Agents deeply integrated into the enterprise + agnostic model + security.<\/strong><\/td>\n<td>Speed to create automations without technical skills.<\/td>\n<td>Extreme flexibility + open-source.<\/td>\n<td>Fast, simple web automations.<\/td>\n<\/tr>\n<tr>\n<td><strong>Limitations<\/strong><\/td>\n<td>Requires a structured AI strategy.<\/td>\n<td>Less flexible than Flowise\/Dust.<\/td>\n<td>More complex to master.<\/td>\n<td>Not designed for complex or enterprise use cases.<\/td>\n<\/tr>\n<tr>\n<td><strong>Ideal use cases<\/strong><\/td>\n<td>Support, sales ops, knowledge management, cross-functional productivity.<\/td>\n<td>Back-office, finance, support, simple automation.<\/td>\n<td>Copilots, multi-agents, embedded AI in internal products.<\/td>\n<td>Prospecting, scraping, browser automation.<\/td>\n<\/tr>\n<tr>\n<td><strong>Scalability<\/strong><\/td>\n<td><strong>Very strong &#8211; designed to become the complete AI OS.<\/strong><\/td>\n<td>Good.<\/td>\n<td>Very strong, depends on tech skills.<\/td>\n<td>Moderate.<\/td>\n<\/tr>\n<tr>\n<td><strong>Rapid deployment<\/strong><\/td>\n<td>Fast once integrations are connected.<\/td>\n<td>Very fast.<\/td>\n<td>Fast but requires configuration.<\/td>\n<td>Instantaneous.<\/td>\n<\/tr>\n<tr>\n<td><strong>Cost<\/strong><\/td>\n<td>Enterprise positioning.<\/td>\n<td>Affordable for SMEs &amp; business teams.<\/td>\n<td>Variable (open source + cloud).<\/td>\n<td>Affordable, freemium.<\/td>\n<\/tr>\n<tr>\n<td><strong>Slight advantage<\/strong><\/td>\n<td><strong>\u2713<\/strong><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 data-start=\"22411\" data-end=\"22454\">Open source architecture and philosophy<\/h3>\n<p data-start=\"22456\" data-end=\"22681\">Flowise defines itself as an open source <strong data-start=\"22484\" data-end=\"22526\">&#8220;agentic systems development platform&#8221;<\/strong>. This means that any organization can deploy the platform on its own infrastructure or use it via the cloud. Its key principles are :  <\/p>\n<ul data-start=\"22683\" data-end=\"23713\">\n<li data-start=\"22683\" data-end=\"22974\">\n<p data-start=\"22685\" data-end=\"22974\"><strong data-start=\"22685\" data-end=\"22699\">Modularity<\/strong>: Flowise provides <strong data-start=\"22722\" data-end=\"22742\">modular blocks<\/strong> for building any agent system, from simple workflows to multi-agent systems. Developers can assemble and reuse these blocks to adapt agents to their needs. <\/p>\n<\/li>\n<li data-start=\"22975\" data-end=\"23220\">\n<p data-start=\"22977\" data-end=\"23220\"><strong data-start=\"22977\" data-end=\"23007\">Openness and extensibility<\/strong>: being open source, the platform benefits from an active community, enabling the integration of new models, connectors or functionalities via external contributions.<\/p>\n<\/li>\n<li data-start=\"23221\" data-end=\"23458\">\n<p data-start=\"23223\" data-end=\"23458\"><strong data-start=\"23223\" data-end=\"23247\">Flexible deployment<\/strong>: Flowise can be deployed on site or in the cloud. It is possible to use   <strong data-start=\"23330\" data-end=\"23347\"><code data-start=\"23332\" data-end=\"23345\">npm install<\/code><\/strong>  to install it and start it locally with <code data-start=\"23399\" data-end=\"23418\">npx flowise start<\/code>.<\/p>\n<\/li>\n<li data-start=\"23459\" data-end=\"23713\">\n<p data-start=\"23461\" data-end=\"23713\"><strong data-start=\"23461\" data-end=\"23493\">Transparency and auditability<\/strong>: the open source approach enables code inspection and security verification. Flowise includes traceability and observability tools to monitor workflow execution. <\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"23715\" data-end=\"23758\">Visual constructors and agent types<\/h3>\n<p data-start=\"23760\" data-end=\"23869\">Flowise offers three complementary visual builders, each corresponding to a different level of complexity:<\/p>\n<ul data-start=\"23871\" data-end=\"24802\">\n<li data-start=\"23871\" data-end=\"24153\">\n<p data-start=\"23873\" data-end=\"24153\"><strong data-start=\"23873\" data-end=\"23886\">Assistant<\/strong>: the simplest version for creating a conversational agent. The user can configure a chatbot that follows instructions, calls tools and <em data-start=\"24081\" data-end=\"24113\">retrieves<\/em> information from files via <em data-start=\"24081\" data-end=\"24113\">retrieval-augmented generation<\/em>. <\/p>\n<\/li>\n<li data-start=\"24154\" data-end=\"24454\">\n<p data-start=\"24156\" data-end=\"24454\"><strong data-start=\"24156\" data-end=\"24168\">Chatflow<\/strong>: designed to build more flexible <em data-start=\"24196\" data-end=\"24207\">LLM flows<\/em>. Users can use advanced techniques such as Graph RAG or rerankers, giving finer control over how the agent retrieves and combines information. <\/p>\n<\/li>\n<li data-start=\"24455\" data-end=\"24802\">\n<p data-start=\"24457\" data-end=\"24802\"><strong data-start=\"24457\" data-end=\"24470\">Agentflow<\/strong>: a complete module for creating <strong data-start=\"24512\" data-end=\"24537\">multi-agent systems<\/strong> with orchestration, coordination and management of complex tasks. It encompasses the other two modules and enables the orchestration of several agents, for example one agent preparing a report while another summarizes documents. <\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"24804\" data-end=\"24835\">Key capabilities and functions<\/h3>\n<p data-start=\"24837\" data-end=\"25036\"><strong data-start=\"24841\" data-end=\"24865\">Flowise&#8217;s capabilities<\/strong> cover the entire agent lifecycle, from design to monitoring. The table below summarizes the main functional areas and their capabilities: <\/p>\n<div class=\"TyagGW_tableContainer\">\n<div class=\"group TyagGW_tableWrapper flex w-fit flex-col-reverse\" tabindex=\"-1\">\n<table class=\"w-fit min-w-(--thread-content-width)\" data-start=\"25038\" data-end=\"26965\">\n<thead data-start=\"25038\" data-end=\"25089\">\n<tr data-start=\"25038\" data-end=\"25089\">\n<th data-start=\"25038\" data-end=\"25064\" data-col-size=\"sm\"><strong data-start=\"25040\" data-end=\"25063\">Functional area<\/strong><\/th>\n<th data-start=\"25064\" data-end=\"25089\" data-col-size=\"xl\"><strong data-start=\"25066\" data-end=\"25087\">Flowise capabilities<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"25100\" data-end=\"26965\">\n<tr data-start=\"25100\" data-end=\"25301\">\n<td data-start=\"25100\" data-end=\"25120\" data-col-size=\"sm\"><strong data-start=\"25102\" data-end=\"25119\">Orchestration<\/strong><\/td>\n<td data-start=\"25120\" data-end=\"25301\" data-col-size=\"xl\">Visual editor for combining open source and proprietary models, branching logic, loops, conditional execution.<\/td>\n<\/tr>\n<tr data-start=\"25302\" data-end=\"25475\">\n<td data-start=\"25302\" data-end=\"25332\" data-col-size=\"sm\"><strong data-start=\"25304\" data-end=\"25331\">Ingestion &amp; Integration<\/strong><\/td>\n<td data-start=\"25332\" data-end=\"25475\" data-col-size=\"xl\">Connection to over 100 data sources, integration of vector databases, long-term memory.<\/td>\n<\/tr>\n<tr data-start=\"25476\" data-end=\"25663\">\n<td data-start=\"25476\" data-end=\"25509\" data-col-size=\"sm\"><strong data-start=\"25478\" data-end=\"25508\">Monitoring &amp; Observability<\/strong><\/td>\n<td data-start=\"25509\" data-end=\"25663\" data-col-size=\"xl\">Execution logs, visual debugging, distribution of logs to external tools (Prometheus, OpenTelemetry).<\/td>\n<\/tr>\n<tr data-start=\"25664\" data-end=\"25892\">\n<td data-start=\"25664\" data-end=\"25682\" data-col-size=\"sm\"><strong data-start=\"25666\" data-end=\"25681\">Deployment<\/strong><\/td>\n<td data-start=\"25682\" data-end=\"25892\" data-col-size=\"xl\">Options for self-hosting and deployment in air-gap environments; horizontal scaling through message queues and workers.<\/td>\n<\/tr>\n<tr data-start=\"25893\" data-end=\"26042\">\n<td data-start=\"25893\" data-end=\"25921\" data-col-size=\"sm\"><strong data-start=\"25895\" data-end=\"25920\">Data processing<\/strong><\/td>\n<td data-start=\"25921\" data-end=\"26042\" data-col-size=\"xl\">Transformations, filters, aggregations, RAG pipelines to index data.<\/td>\n<\/tr>\n<tr data-start=\"26043\" data-end=\"26235\">\n<td data-start=\"26043\" data-end=\"26073\" data-col-size=\"sm\"><strong data-start=\"26045\" data-end=\"26072\">Memory &amp; Planning<\/strong><\/td>\n<td data-start=\"26073\" data-end=\"26235\" data-col-size=\"xl\">Integration of advanced memory mechanisms to optimize context management and plan agent actions.<\/td>\n<\/tr>\n<tr data-start=\"26236\" data-end=\"26431\">\n<td data-start=\"26236\" data-end=\"26258\" data-col-size=\"sm\"><strong data-start=\"26238\" data-end=\"26257\">MCP integration<\/strong><\/td>\n<td data-start=\"26258\" data-end=\"26431\" data-col-size=\"xl\">MCP (Multi-Agent Control Protocol) support for orchestrating agent clients and servers, tool management, SSE streaming.<\/td>\n<\/tr>\n<tr data-start=\"26432\" data-end=\"26617\">\n<td data-start=\"26432\" data-end=\"26459\" data-col-size=\"sm\"><strong data-start=\"26434\" data-end=\"26458\">Security and control<\/strong><\/td>\n<td data-start=\"26459\" data-end=\"26617\" data-col-size=\"xl\">Input moderation, output post-processing, secrets and permissions management (RBAC, SSO, encryption).<\/td>\n<\/tr>\n<tr data-start=\"26618\" data-end=\"26789\">\n<td data-start=\"26618\" data-end=\"26636\" data-col-size=\"sm\"><strong data-start=\"26620\" data-end=\"26635\">Scalability<\/strong><\/td>\n<td data-start=\"26636\" data-end=\"26789\" data-col-size=\"xl\">Scalable vertically or horizontally to handle high loads and complex workflows.<\/td>\n<\/tr>\n<tr data-start=\"26790\" data-end=\"26965\">\n<td data-start=\"26790\" data-end=\"26808\" data-col-size=\"sm\"><strong data-start=\"26792\" data-end=\"26807\">Evaluations<\/strong><\/td>\n<td data-start=\"26808\" data-end=\"26965\" data-col-size=\"xl\">Set of tools for testing agents with datasets, measuring performance and improving quality &#8211; <span class=\"\" data-state=\"closed\"><span class=\"ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]\" data-testid=\"webpage-citation-pill\"><a class=\"flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium transition-colors duration-150 ease-in-out text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]!\" href=\"https:\/\/docs.flowiseai.com\/#:~:text=Evaluations\" target=\"_blank\" rel=\"noopener\"><span class=\"relative start-0 bottom-0 flex h-full w-full items-center\"><span class=\"flex h-4 w-full items-center justify-between overflow-hidden\"><span class=\"max-w-[15ch] grow truncate overflow-hidden text-center\">docs.flowiseai.com<\/span><\/span><\/span><\/a><\/span><\/span>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p data-start=\"26967\" data-end=\"27175\">In addition to these capabilities, Flowise provides an <strong data-start=\"27023\" data-end=\"27079\">API, SDKs in TypeScript and Python, and a CLI<\/strong> for integrating agents into external applications.<\/p>\n<h3 data-start=\"27177\" data-end=\"27220\">Acquisition by Workday and implications<\/h3>\n<p data-start=\"27222\" data-end=\"27757\">In September 2025, <strong data-start=\"27241\" data-end=\"27290\">Workday announced the acquisition of Flowise AI<\/strong> to enrich its AI strategy. According to an Agilysis article, Flowise AI is a <strong data-start=\"27373\" data-end=\"27490\">low-code tool designed to help non-technical professionals assemble agents like Lego pieces<\/strong>. Workday officials said the Flowise integration allows customers <strong data-start=\"27623\" data-end=\"27685\">to build and deploy their own agents on Workday<\/strong> with simplicity and transparency.  <\/p>\n<p data-start=\"27759\" data-end=\"27828\">The article points out that this integration enables users to :<\/p>\n<ul data-start=\"27830\" data-end=\"28390\">\n<li data-start=\"27830\" data-end=\"27942\">\n<p data-start=\"27832\" data-end=\"27942\">Building <strong data-start=\"27847\" data-end=\"27872\">multi-agent systems<\/strong> with distributed orchestration.<\/p>\n<\/li>\n<li data-start=\"27943\" data-end=\"28134\">\n<p data-start=\"27945\" data-end=\"28134\">Create <strong data-start=\"27955\" data-end=\"27986\">conversational assistants<\/strong> capable of using tools and augmented retrieval (AR) to answer questions.<\/p>\n<\/li>\n<li data-start=\"28135\" data-end=\"28287\">\n<p data-start=\"28137\" data-end=\"28287\">Set up <strong data-start=\"28157\" data-end=\"28180\">human-in-the-loop checkpoints<\/strong> to validate or reject agent actions.<\/p>\n<\/li>\n<li data-start=\"28288\" data-end=\"28390\">\n<p data-start=\"28290\" data-end=\"28390\"><strong data-start=\"28290\" data-end=\"28319\">Integrate applications<\/strong> via API, integrated widget or SDK.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"28392\" data-end=\"28699\">This acquisition shows that Flowise is seen as a strategic component for automating complex business processes, particularly in the HR and finance sectors. Its open source and self-hosting capabilities reassure customers concerned about data security and sovereignty. <\/p>\n<h3 data-start=\"28701\" data-end=\"28725\">Advantages and limitations<\/h3>\n<h4 data-start=\"28727\" data-end=\"28752\">Forces de Flowise AI<\/h4>\n<ol data-start=\"28754\" data-end=\"29913\">\n<li data-start=\"28754\" data-end=\"28965\">\n<p data-start=\"28757\" data-end=\"28965\"><strong data-start=\"28757\" data-end=\"28786\">Open source and extensible<\/strong>: code transparency fosters trust and community collaboration. Developers can create new connectors, templates or specific functionalities. <\/p>\n<\/li>\n<li data-start=\"28966\" data-end=\"29261\">\n<p data-start=\"28969\" data-end=\"29261\"><strong data-start=\"28969\" data-end=\"29012\">Support for multiple models and sources<\/strong>: Flowise lets you choose from over 100 LLMs and vector databases, and connects to various sources thanks to its integration modules. This opens up a wide range of possible scenarios. <\/p>\n<\/li>\n<li data-start=\"29262\" data-end=\"29503\">\n<p data-start=\"29265\" data-end=\"29503\"><strong data-start=\"29265\" data-end=\"29314\">Visual builders adapted to complexity<\/strong>: the segmentation into Assistant, Chatflow and Agentflow enables both beginners and experts to build agents adapted to their needs.<\/p>\n<\/li>\n<li data-start=\"29504\" data-end=\"29711\">\n<p data-start=\"29507\" data-end=\"29711\"><strong data-start=\"29507\" data-end=\"29545\">Observability and human-in-the-loop<\/strong>: the platform provides execution traces, monitoring tools and the possibility of inserting human validations.<\/p>\n<\/li>\n<li data-start=\"29712\" data-end=\"29913\">\n<p data-start=\"29715\" data-end=\"29913\"><strong data-start=\"29715\" data-end=\"29750\">Self-hosting and scalability<\/strong>: the ability to deploy the solution on site and scale it horizontally is appreciated by large enterprises.<\/p>\n<\/li>\n<\/ol>\n<h4 data-start=\"29915\" data-end=\"29936\">Limits and challenges<\/h4>\n<ul data-start=\"29938\" data-end=\"30674\">\n<li data-start=\"29938\" data-end=\"30208\">\n<p data-start=\"29940\" data-end=\"30208\"><strong data-start=\"29940\" data-end=\"29966\">Learning curve<\/strong>: although Flowise offers a visual builder, creating complex workflows may require an understanding of orchestration and AI concepts. Non-technical users may be intimidated by the wealth of options. <\/p>\n<\/li>\n<li data-start=\"30209\" data-end=\"30488\">\n<p data-start=\"30211\" data-end=\"30488\"><strong data-start=\"30211\" data-end=\"30269\">A less mature ecosystem than commercial solutions<\/strong>: open source implies a pace of evolution that depends on the community. Some very specific integrations or functionalities may be missing compared to commercial platforms such as StackAI or Dust AI. <\/p>\n<\/li>\n<li data-start=\"30489\" data-end=\"30674\">\n<p data-start=\"30491\" data-end=\"30674\"><strong data-start=\"30491\" data-end=\"30513\">Business support<\/strong>: support depends in part on the community. Workday now offers support via its teams, but this can entail additional costs. <\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"30676\" data-end=\"30690\">Conclusion<\/h3>\n<p data-start=\"30692\" data-end=\"31341\">\n<p data-start=\"30692\" data-end=\"31341\"><em>*Source: Palmer Research Lab<\/em><\/p>\n<p data-start=\"30692\" data-end=\"31341\">Flowise AI stands out for its <strong data-start=\"30723\" data-end=\"30747\">open source approach<\/strong>, modularity and ability to orchestrate complex agents. The tool is aimed at developers and technical teams wishing to build flexible systems with total control over the infrastructure and models used. Workday&#8217;s acquisition confirms Flowise&#8217;s relevance for companies seeking to integrate AI into their processes while controlling data security and sovereignty. For organizations ready to invest in a scalable solution, Flowise represents a powerful competitor to Dust AI and no-code platforms.   <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Flowise AI: an open source platform for orchestrating complex agents Introduction Flowise AI is an open source platform dedicated to the creation and orchestration of agents based on language models. It is presented as a set of modular blocks for building agentic systems, ranging from simple flows to multi-role autonomous agents. What sets Flowise AI [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[78],"tags":[],"class_list":["post-4689","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Agentique AI platform: Flowise AI | Palmer<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/palmer-consulting.com\/en\/agentique-ai-platform-flowise-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Agentique AI platform: Flowise AI | Palmer\" \/>\n<meta property=\"og:description\" content=\"Flowise AI: an open source platform for orchestrating complex agents Introduction Flowise AI is an open source platform dedicated to the creation and orchestration of agents based on language models. 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