--- title: "Flowise vs openagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flowiseai-flowise-vs-haohao-end-openagent" tools: ["flowiseai-flowise", "haohao-end-openagent"] --- # Flowise vs openagent *GraphCanon updated Jul 17, 2026* ## Verdict Pick Flowise if flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models; pick openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. [Flowise](https://flowiseai.com) reports 55k GitHub stars, 25k forks, and 997 open issues, last pushed Jul 14, 2026. [openagent](https://openllm.cloud) has 828 stars, 80 forks, and 45 open issues, last pushed Jun 24, 2026. Figures are from public GitHub metadata via [Flowise's repository](https://github.com/FlowiseAI/Flowise) and [openagent's repository](https://github.com/Haohao-end/openagent). | | [Flowise](/tools/flowiseai-flowise.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Tagline | Build AI Agents, Visually | Harness architecture for rapidly building vertical AI agents | | Stars | 54,613 | 828 | | Forks | 24,713 | 80 | | Open issues | 997 | 45 | | Language | TypeScript | Python | | Adopt for | Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models. | OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Flowise](/tools/flowiseai-flowise.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 16d | | Open issues (now) | 997 | 45 | | Owner type | Organization | User | | Full report | [trust report](/tools/flowiseai-flowise/trust.md) | [trust report](/tools/haohao-end-openagent/trust.md) | **Typed relationship:** Flowise _(alternative)_ openagent Openagent and Flowise both provide environments to build vertical AI agents but with different approaches, one focuses on architecture while the other offers a visual interface. ## Decision facts: Flowise - **Requirements:** Requires Docker; Can be installed locally using NodeJS or Docker Compose. Supports various hosting options including cloud platforms and personal servers. - **Adopt for:** Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models. ## Decision facts: openagent - **Adopt for:** OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. ## Choose when ### Choose Flowise if… - Flowise is primarily TypeScript; openagent is Python. - License: Flowise is Other, openagent is MIT. - Requirements: Requires Docker; Can be installed locally using NodeJS or Docker Compose. Supports various hosting options including cloud platforms and personal servers.. - Openagent and Flowise both provide environments to build vertical AI agents but with different approaches, one focuses on architecture while the other offers a visual interface. - Tags unique to Flowise: agentic-ai, large language models, low-code, multiagent-systems. - Also covers Developer Tools. - Flowise ships Docker support for self-hosted deployment. - Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models. ### Choose openagent if… - openagent is primarily Python; Flowise is TypeScript. - License: openagent is MIT, Flowise is Other. - Openagent and Flowise both provide environments to build vertical AI agents but with different approaches, one focuses on architecture while the other offers a visual interface. - Tags unique to openagent: agent, ai, celery, deepagents. - Also covers Data & Retrieval, Vector Databases. - Need integration of OpenAI and Dify functionalities. ## When NOT to use Flowise - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use openagent - Projects requiring only basic AI functionality without deep reasoning loops or RAG. - Teams preferring non-Python environments for AI agent development. ## Common questions ### What is the difference between Flowise and openagent? Flowise: Build AI Agents, Visually. openagent: Harness architecture for rapidly building vertical AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose Flowise over openagent? Choose Flowise over openagent when Flowise is primarily TypeScript; openagent is Python; License: Flowise is Other, openagent is MIT; Requirements: Requires Docker; Can be installed locally using NodeJS or Docker Compose. Supports various hosting options including cloud platforms and personal servers.; Openagent and Flowise both provide environments to build vertical AI agents but with different approaches, one focuses on architecture while the other offers a visual interface; Tags unique to Flowise: agentic-ai, large language models, low-code, multiagent-systems; Also covers Developer Tools; Flowise ships Docker support for self-hosted deployment; Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models. ### When should I choose openagent over Flowise? Choose openagent over Flowise when openagent is primarily Python; Flowise is TypeScript; License: openagent is MIT, Flowise is Other; Openagent and Flowise both provide environments to build vertical AI agents but with different approaches, one focuses on architecture while the other offers a visual interface; Tags unique to openagent: agent, ai, celery, deepagents; Also covers Data & Retrieval, Vector Databases; Need integration of OpenAI and Dify functionalities. ### When should I avoid Flowise? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid openagent? Projects requiring only basic AI functionality without deep reasoning loops or RAG. Teams preferring non-Python environments for AI agent development. ### Is Flowise or openagent more popular on GitHub? Flowise has more GitHub stars (54,613 vs 828). Stars measure visibility, not whether either tool fits your constraints. ### Are Flowise and openagent open source? Yes - both are open-source projects on GitHub (Flowise: Other, openagent: MIT). ### Where can I find alternatives to Flowise or openagent? GraphCanon lists graph-backed alternatives at [Flowise alternatives](/tools/flowiseai-flowise/alternatives) and [openagent alternatives](/tools/haohao-end-openagent/alternatives) ([Flowise markdown twin](/tools/flowiseai-flowise/alternatives.md), [openagent markdown twin](/tools/haohao-end-openagent/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/flowiseai-flowise-vs-haohao-end-openagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Flowise or openagent? Flowise: Very active. openagent: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Flowise and openagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Flowise trust report](/tools/flowiseai-flowise/trust); [openagent trust report](/tools/haohao-end-openagent/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=flowiseai-flowise`](/api/graphcanon/graph?tool=flowiseai-flowise) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_