What are the best alternatives to Langflow?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Langflow among agent builders are Dify, Altilia, AutoGPT, StackAI. Each is graded on the same public evidence, and no vendor pays for placement.

Does Langflow support MCP and tool calling?

Full under the Agentic Index verification standard. Langflow 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 Langflow be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Langflow 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 Langflow give you tracing and observability into agent runs?

Full under the Agentic Index verification standard. Langflow 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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Langflow

Also known as: Langflow OSS

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Agent builderacquiredVerified 2026-06-28

Entry priceFree (OSS, self-host)Full pricing detail

Low-code open-source builder for RAG and agentic pipelines with visual flow editing, Python extensibility, and OSS MIT licensing.

Langflow is an open-source, low-code platform for visually building AI agents and retrieval-augmented generation applications. Developers connect components on a drag-and-drop canvas, each one representing a model, vector store, document loader, embedding, tool, or piece of custom logic, to assemble complex AI pipelines without writing all the wiring by hand. Built in Python and using LangChain under the hood, it has become one of the most popular visual builders in the agentic AI space.

What distinguishes Langflow from purely visual tools is that it never hides the code. Every component exposes its underlying Python source, so a developer can inspect and customize any node without leaving the interface, making it a natural fit for teams already comfortable in Python and LangChain. The canvas comes batteries-included with support for all major language models, including OpenAI, Anthropic, Google, Cohere, and Hugging Face, as well as local models through Ollama, and connects to any vector database. An interactive Playground lets builders test and refine a flow step by step before shipping it.

Langflow is designed to move from prototype to production cleanly. A finished flow can be deployed as an API or exported as JSON for use in a Python application, and through built-in MCP servers any workflow can be turned into a tool that MCP-compatible clients can call, while Langflow can also act as an MCP client itself. It supports multi-agent orchestration with conversation management and retrieval, and integrates with observability tools like LangSmith and Langfuse. A desktop app for Windows and macOS bundles everything needed to start without managing Python environments, and a version 1.8 release in early 2026 added global model-provider configuration, a new workflow API, and the MCP server and client support.

Langflow began as a project at Logspace, was acquired by DataStax in 2024, and came under IBM when IBM acquired DataStax. The hosted DataStax Langflow cloud version was retired in 2026 in favor of the open-source project, which remains freely available, self-hostable, and actively maintained, now positioned alongside IBM's watsonx data and AI portfolio.

Vendor details

Canonical URL

https://www.langflow.org/

Company status

acquired

Use cases & customers

Target customers

developersSMB

Deployment options

SaaSself-hosted

In practice

You want to prototype a RAG chatbot fast but still need to tweak how a component actually works. Langflow lets you drag nodes together on a canvas and open the Python source of any one to customize it.

Your team is already in Python and LangChain and dislikes black-box builders. Langflow exposes every component's source code, so you build visually without giving up control over what each node does.

You've built a flow and want an AI assistant to call it as a tool. Langflow can deploy that workflow as an MCP server, turning it into a callable tool for any MCP-compatible client.

Agentic Index coverage score

10.0 / 14 capabilities · 71%

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	Unable to verify
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	Unable to verify
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	Full
APIs, SDKs & MCP ExtensibilityAgentic AI Index Expansion Evidence Report	Full
Testing, Debugging & OptimizationAgentic AI Index Expansion Evidence Report	Partial
Browser & Computer UseAgentic AI Index Expansion Evidence Report	Partial

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

2026-08-05·Memory / stateVerified

Langflow released version 1.11 Desktop, introducing multi-vector retrieval capabilities. The update includes the lfx-nextplaid extension bundle, which provides native support for ColBERT late interaction and ColPali visual document retrieval.

Bears on: Memory / state

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2026-08-05·Security / enterprisePartially Verified

CISA and cybersecurity researchers flagged critical remote code execution (RCE) vulnerabilities in Langflow as being actively exploited in the wild. Threat actors have been observed utilizing these flaws as part of automated exploit chains to compromise infrastructure.

Bears on: Security / enterprise

View source

2026-07-24·Security / enterprisePartially Verified

A critical remote code execution vulnerability (CVE-2026-0770) was disclosed for Langflow versions 1.7.3 and earlier. The flaw carries a 9.8 CVSS score, is reportedly under active exploitation in the wild, and allows unauthenticated attackers to remotely execute arbitrary code on affected systems.

Bears on: Security / enterprise

View source

View all 6 changes for Langflow →Tracked since May 2026 · Verified from public vendor sources

Pricing

Free (OSS, self-host)

usage

Free tier

Included quota

Self-hosted OSS (free, MIT, unlimited): drag-and-drop canvas, 150+ pre-built components, multi-agent + RAG flows, native LangGraph support, MCP server export, and deployment as REST API / MCP endpoint / Python code. Enterprise support (IBM Elite Support for Langflow) adds SLA-backed help; managed hosting via IBM watsonx/Render/Elestio is priced by those providers.

What is public

Langflow (langflow.org - open-source low-code visual builder for AI agents + RAG, LangChain-shaped; acquired by DataStax 2024, now moving to IBM/watsonx, committed 'forever open, free, agnostic') is MIT-licensed and FREE to self-host (unlimited). IMPORTANT: the first-party DataStax-hosted Langflow Cloud was deprecated March 9, 2026 and shut down April 9, 2026 - there is no longer a first-party managed cloud tier. Managed hosting now runs through partners (IBM watsonx, Render, Elestio), and enterprise support is via IBM Elite Support (flex-priced). Real cost is infra + LLM/vector usage you pay to those providers (~$30/mo hobby to $2,000+/mo enterprise).

Billing mechanics

The software is free under MIT - you pay only for what you run it on. Self-host and cover your own infrastructure (a 2-4GB VM ~$5-$20/mo; Kubernetes/managed Postgres adds hundreds), LLM API usage (OpenAI/Anthropic/etc., pass-through per token), vector databases (Pinecone/Weaviate ~$50-$200+/mo in production), and observability. There is no first-party Langflow subscription floor since the DataStax-hosted cloud shut down; managed options bill via partners (e.g., Elestio's hourly credit model) and enterprise support is a flex-priced IBM contract.

Cost watchouts

The 'free software isn't free' - infra ($5-$500+/mo), LLM tokens ($10-$1,000+/mo), vector DB ($50-$200+/mo), and observability dominate the bill; the DataStax-hosted cloud shutdown (April 9, 2026) forced workflow migration to self-host/partners with data deletion; LangChain lock-in (flows assume LangChain abstractions); monthly release churn with occasional breaking changes (pin versions for production)

Variable cost rationale

Fully usage-based - the software is free, so 100% of spend is variable infrastructure + LLM tokens + vector-DB + observability, scaling with deployment size and query volume (hobby ~$30/mo to enterprise $2,000+/mo)

Additional watchouts

First-party hosted cloud is gone (April 2026) - plan to self-host or use a partner; LangChain lock-in makes migrating to raw SDKs/LlamaIndex a rewrite; large canvases (40+ nodes) get unwieldy; community-component quality varies; fast monthly releases can introduce breaking changes; not pure no-code

Overage / add-ons

No Langflow-imposed caps on the OSS software; cost scales entirely with your infrastructure, LLM token usage, and vector-DB usage (all pass-through to third parties); managed-partner hosting bills by resource/hour.

Sales call required

Mixed (some tiers require a call)

Free / trial

Free (OSS MIT)

Lowest paid plan

n/p (exact paid floor not captured)

Commercial notes

Launched 2020 (Rodrigo Nader, Gabriel Almeida); 138,000+ GitHub stars; acquired by DataStax April 2024, now part of the IBM/watsonx portfolio; LangChain-centric (RAG + agent prototypes) with native LangGraph + MCP export; competes with Flowise (lighter), n8n (automation-first), and LangGraph Studio; thin moat (low switching cost both ways)

Key ambiguities

Pricing is entirely usage/infra-driven with no first-party subscription floor; the managed-cloud landscape is in flux post-DataStax-shutdown and mid-IBM-acquisition; enterprise support (IBM Elite Support) is flex-priced and quote-only; third-party managed-host prices vary by provider

Cancellation / refund

Self-hosted OSS is free forever (MIT, no contract); enterprise support (IBM Elite Support for Langflow) is a flex-priced contract; managed-partner hosting (Elestio, etc.) is pay-as-you-go by resource with no lock-in

Support SLA / resale

Community support for OSS; IBM Elite Support for Langflow (formerly DataStax Luna) provides SLA-backed enterprise support; integrates with IBM watsonx Orchestrate as middleware; deploys on-prem/hybrid/multi-cloud; TS/Python extensibility

Missing data

No first-party subscription floor exists post-cloud-shutdown; enterprise-support and managed-host pricing are quote-/provider-dependent. The OSS is free (MIT, self-hostable), but the seed's 'cloud tier exists' is now OUTDATED - the DataStax-hosted Langflow Cloud was shut down April 9, 2026; managed hosting is via partners (IBM watsonx/Render/Elestio) and enterprise support is flex-priced (IBM Elite Support).

Agentic Index verified 2026-06-25

Official pricing page Docs

Related vendors

Alternatives to Langflow

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

Dify9.5 / 14Adds documented Memory & State PersistenceLangflow vs Dify →
Altilia11.5 / 14Adds documented Human Oversight & Guardrails and Memory & State PersistenceLangflow vs Altilia →
AutoGPT10.5 / 14Adds documented Human Oversight & Guardrails and Memory & State Persistence
StackAI11.5 / 14Adds documented Human Oversight & Guardrails and Memory & State Persistence
AgentX10.0 / 14Adds documented Human Oversight & Guardrails and Memory & State Persistence
Airia10.0 / 14Adds documented Human Oversight & Guardrails

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

Data confidence: high

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Langflow vs Dify Langflow vs Flowise Langflow vs Altilia Langflow vs Sim

Langflow

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