What are the best alternatives to Flowise?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Flowise among agent builders are OutSystems, Altilia, FLOWX.AI, n8n. Each is graded on the same public evidence, and no vendor pays for placement.

Does Flowise support MCP and tool calling?

Full under the Agentic Index verification standard. Flowise publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: Agentic AI Index Expansion Evidence Report. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Flowise be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Flowise publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Agentic AI Index Expansion Evidence Report. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Flowise give you tracing and observability into agent runs?

Full under the Agentic Index verification standard. Flowise publishes public evidence of tracing, observability and audit logging into agent runs, so a team can see what an agent did and why. Evidence basis: Agentic AI Index Expansion Evidence Report. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Flowise

Also known as: FlowiseAI

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Agent builderindependentVerified 2026-06-28

Entry priceFrom $35/mo · free tierFull pricing detail

Open-source visual builder for LLM flows, RAG pipelines, and agentic workflows with self-hosting support and a managed SaaS tier.

Flowise is an open-source, low-code platform for building AI agents and LLM applications visually. Instead of writing orchestration code, you assemble an application on a drag-and-drop canvas, connecting modular building blocks, language models, memory, vector stores, document loaders, and tools, into a working flow. It is often described as a visual layer over frameworks like LangChain, LangGraph, and LlamaIndex, giving the power of those libraries without their steep learning curve, and making the logic of an AI app legible to non-engineers who can read a node diagram rather than a script.

The platform organizes its capabilities into three builders of increasing power. Assistant is the most beginner-friendly: a chat assistant that follows instructions, calls tools when needed, and answers from a knowledge base built out of uploaded files. Chatflow is for single-agent systems and chatbots, with room for more advanced retrieval techniques like reranking and graph-based RAG. Agentflow is the superset, used to design single-agent and multi-agent systems and more complex orchestration, where a supervising agent can analyze a request and route it to the right tool or sub-agent.

Flowise is deliberately model-agnostic and broadly connected. It works with a large range of language models, embeddings, and vector databases, from commercial providers like OpenAI and Anthropic to open and local models, so teams are not locked into one engine and can swap the underlying model as the market shifts. Retrieval-augmented generation is a first-class capability: you can upload documents, have Flowise chunk, embed, and store them, and ground an agent's answers in your own data. It also supports tool calling and connecting to external systems, including through the Model Context Protocol.

A defining strength is its dual deployment model. The whole platform is open source under a permissive license and can be self-hosted for free with full control over data, which matters for teams with privacy or on-premise requirements, or run on Flowise Cloud as managed infrastructure, with an enterprise tier adding air-gapped deployment and single sign-on. Finished flows can be embedded in a website or exposed as an API, making Flowise a fast path from a prototype built in minutes to a deployed application.

Vendor details

Canonical URL

https://flowiseai.com/

Company status

independent

Use cases & customers

Target customers

developersSMB

Deployment options

SaaSself-hosted

In practice

You want to build a chatbot grounded in your own documents but don't want to hand-code retrieval. Flowise lets you upload files, and it chunks, embeds, and stores them, then wires RAG into your agent on a visual canvas.

Your team needs to prototype an LLM app fast without writing orchestration code. Flowise's drag-and-drop builders, from a simple Assistant to multi-agent Agentflow, let non-engineers assemble and read the logic as a node diagram.

You need full control over data and don't want to be locked to one model. Flowise is open source and self-hostable, works with commercial, open, and local models, and can run air-gapped for on-premise requirements.

Agentic Index coverage score

11.5 / 14 capabilities · 82%

Integrations & Tool CallingAgentic AI Index Expansion Evidence Report	Full
Workflow OrchestrationAgentic AI Index Expansion Evidence Report	Full
Knowledge Grounding & RAGAgentic AI Index Expansion Evidence Report	Full
Human Oversight & GuardrailsAgentic AI Index Expansion Evidence Report	Full
Security, Identity & GovernanceAgentic AI Index Expansion Evidence Report	Partial
Observability & AuditabilityAgentic AI Index Expansion Evidence Report	Full
Memory & State PersistenceAgentic AI Index Expansion Evidence Report	Full
Deployment & Data ResidencyAgentic AI Index Expansion Evidence Report	Full
Prebuilt Agents, Templates & PacksAgentic AI Index Expansion Evidence Report	Full
Triggers & Channel CoverageAgentic AI Index Expansion Evidence Report	Partial
Model Flexibility & RoutingAgentic AI Index Expansion Evidence Report	Partial
APIs, SDKs & MCP ExtensibilityAgentic AI Index Expansion Evidence Report	Full
Testing, Debugging & OptimizationAgentic AI Index Expansion Evidence Report	Full
Browser & Computer UseAgentic AI Index Expansion Evidence Report	Unable to verify

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-08-10·Deployment / data residencyVerified

Flowise has officially moved its GitHub repository to Public Archive status as part of winding down operations. All issues and pull requests are now locked, and the official npm packages and Docker images have been marked as deprecated.

Bears on: Deployment / data residency

View source

View all 1 change for Flowise →Tracked since Aug 2026 · Verified from public vendor sources

Pricing

From $35/mo · free tier

usage

Free tier

Included quota

Self-hosted OSS: unlimited (free, MIT). Cloud Free: 100 predictions/mo, ~5MB storage, ~2 flows, community support (eval only). Starter ($35/mo): unlimited flows, 10,000 predictions/mo, 1GB storage. Pro ($65/mo): 50,000 predictions/mo, 10GB storage, multiple workspaces, team roles/RBAC, priority support, custom integrations. Enterprise: on-prem/air-gapped, SSO/SAML, audit logs, SLA.

What is public

Flowise (flowiseai.com - open-source low-code visual builder for LLM apps / AI agents, LangChain/LlamaIndex-powered; acquired by Workday in Aug 2025, MIT license intact) is free to self-host (no metering, user, or flow limits). Its managed cloud has four tiers: Free (100 predictions/mo, ~2 flows), Starter $35/mo (unlimited flows, 10,000 predictions/mo, 1GB), Pro $65/mo (50,000 predictions/mo, 10GB, team features, priority support), and custom Enterprise (on-prem/air-gapped, SSO/SAML, audit logs, SLA). LLM token + vector-DB costs are separate.

Billing mechanics

Two paths: (1) self-host the open-source repo free under MIT (full codebase, no prediction/user/flow limits - you cover your own infra + LLM/vector costs); or (2) managed cloud, flat monthly tiers metered by 'predictions' (agent/flow executions) with storage caps. The cloud subscription typically covers only ~10-30% of true cost - LLM tokens (OpenAI/Claude/etc.) and vector-database usage are paid separately to those providers; at ~50K predictions with GPT-4o + a mid-tier vector DB, total TCO can reach ~$600/mo.

Cost watchouts

LLM token costs (OpenAI/Claude) and vector-database costs are SEPARATE and usually dominate the bill (cloud subscription is only ~10-30% of TCO); no published overage pricing (cost uncertainty past caps); self-hosting shifts cost to your own infra/ops; the visual builder doesn't abstract LangChain/LlamaIndex concepts (technical knowledge needed)

Variable cost rationale

Flat cloud tiers, but true cost is dominated by usage you pay elsewhere - LLM tokens and vector-DB calls scale with predictions/volume; self-hosting trades the subscription for your own (variable) infra + model spend

Additional watchouts

Subscription is a fraction of real cost - budget LLM + vector-DB usage on top; no published overage pricing; requires LangChain/LlamaIndex familiarity (visual UI doesn't hide framework complexity); complex flows get visually cluttered; Workday ownership may tilt future enterprise features toward corporate customers

Overage / add-ons

Exceeding a tier's monthly prediction or storage cap requires upgrading tiers (Flowise does not publish overage pricing, so beyond-limit cost is uncertain); LLM token and vector-DB usage are pass-through to those providers regardless of tier.

Sales call required

Mixed (some tiers require a call)

Free / trial

Free (OSS self-host)

Lowest paid plan

Starter $35/mo

Commercial notes

Open-source darling (popular on GitHub) acquired by Workday Aug 14, 2025 (for HR/finance automation) with the MIT community version intact; visual Agentflow (multi-agent) + Chatflow/Assistant (single-agent) over 100+ LLMs/vector stores; HITL checkpoints; used by AWS, Microsoft, Google, Accenture, ByteDance, etc.; competes with Langflow, n8n, Voiceflow

Key ambiguities

Cloud pricing changed more than once since late 2025 - some sources cite Starter $19 / Pro $49 / Enterprise $149 or different prediction/agent caps; the current public figures are Starter $35 / Pro $65 with Enterprise custom; overage rates aren't published

Cancellation / refund

Self-hosted OSS is free forever (MIT); cloud is self-serve monthly (Free/Starter/Pro) with a free tier to evaluate; Enterprise is custom-contracted; managed-host resellers (e.g., Elestio) bill hourly for infrastructure separately

Support SLA / resale

Community support (Free/OSS); priority support on Pro; Enterprise adds SSO/SAML (OIDC, Azure/Entra, Google, Auth0), audit logs, RBAC, on-prem/air-gapped deployment, and SLAs; observability via Prometheus/OpenTelemetry; TS/Python SDKs + REST API

Missing data

Cloud tier prices/caps have changed and vary across sources; overage rates aren't published; LLM/vector costs are external. Seed 'OSS self-hosted free; cloud Starter $35/mo; Enterprise available' is accurate and current (Pro is $65/mo; Free tier and Workday acquisition noted).

Agentic Index verified 2026-06-25

Official pricing page

Related vendors

Alternatives to Flowise

The closest documented capability profiles to Flowise among agent builders tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

OutSystems12.0 / 14Fuller documented coverage on Security, Identity & Governance and Model Flexibility & Routing
Altilia11.5 / 14Fuller documented coverage on Security, Identity & Governance and Model Flexibility & Routing
FLOWX.AI11.5 / 14Fuller documented coverage on Security, Identity & Governance and Triggers & Channel Coverage
n8n11.5 / 14Fuller documented coverage on Security, Identity & Governance and Triggers & Channel Coverage
Sim12.5 / 14Adds documented Browser & Computer UseFlowise vs Sim →
StackAI11.5 / 14Fuller documented coverage on Security, Identity & Governance and Model Flexibility & RoutingFlowise vs StackAI →

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Flowise with other vendors →Compare all agent builders →See where Flowise ranks →

Data confidence: high

Head to head

Flowise vs Dify Flowise vs Langflow Flowise vs StackAI Flowise vs Sim