Compare Flowise vs. Reflexio in 2026

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Description

Flowise is an open-source agentic development platform designed to help teams build AI agents and LLM-powered applications using a visual workflow interface. The platform allows users to design intelligent workflows through modular components that can be combined to create chatbots, automation systems, and autonomous AI agents. Developers can build both single-agent chat assistants and multi-agent systems that collaborate to complete complex tasks. Flowise integrates with more than 100 large language models, embedding models, and vector databases, providing flexibility in selecting AI technologies. The platform also supports retrieval-augmented generation (RAG), enabling applications to retrieve knowledge from documents and data sources. Built-in features such as human-in-the-loop workflows allow users to review and validate agent actions before execution. Observability tools provide detailed execution traces and compatibility with monitoring systems like Prometheus and OpenTelemetry. Developers can integrate Flowise with existing applications using APIs, SDKs, or embedded chat widgets. The platform supports both cloud and on-premises deployment environments for enterprise scalability. By providing visual tools and flexible integrations, Flowise accelerates the development and deployment of advanced AI-driven applications.

Description

Reflexio serves as a platform for developers focused on the creation and management of AI agents, utilizing a variety of input methods such as an SDK, REST API, CLI, or connections to supported tracing platforms to gather data from agent interactions, execution traces, tool calls, and user corrections. By identifying common failures, it generates reusable playbooks and user profiles that enhance the learning process. When an agent is in operation, it can access pertinent guidance derived from these learnings prior to formulating a response. The Hosted Enterprise portal provides teams with the capability to explore, modify, approve, reject, search, and assess the acquired knowledge effectively. Reflexio enables agents to implement necessary corrections across various interactions without needing to alter the underlying model weights. Additionally, teams have the flexibility to utilize the managed cloud service, set up their own model-provider keys, or opt for self-hosting on platforms like AWS, Google Cloud, or Azure. Furthermore, enterprise trace imports are supported from sources such as Braintrust, Langfuse Cloud, and LangSmith Cloud, while Reflexio also features a mem0 wrapper and integration with OpenClaw, thus offering a comprehensive suite of tools for enhancing agent performance. This multifaceted approach ensures that developers can optimize their AI agents while leveraging the flexibility of various deployment options.

API Access

Has API No

API Access

Has API Yes

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Integrations

Langfuse Yes

OpenAI Yes

Azure OpenAI Service No

Braintrust No

Chroma Yes

Claude Fable 5 Yes

Claude Fable 5.1 Yes

Claude Fable 5.5 Yes

Claude Haiku 5.5 Yes

Claude Opus 4.8 Yes

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Integrations

Langfuse Yes

OpenAI Yes

Azure OpenAI Service Yes

Braintrust Yes

Chroma No

Claude Fable 5 No

Claude Fable 5.1 No

Claude Fable 5.5 No

Claude Haiku 5.5 No

Claude Opus 4.8 No

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Pricing Details

Free

Free Trial No

Free Version Yes

Pricing Details

$0/month

The Free plan costs $0/month and includes 100 published interactions and 1,000 search requests per month, plus a 30-day Pro trial. Pro costs $299/month and includes 10,000 published interactions and 100,000 search requests per month. Pro overages cost $0.003 per search request, $0.02 per playbook learning, and $0.01 per profile learning. BYOC self-hosting is custom-priced.

Free Trial No

Free Version Yes