Langflow Review, Pricing & Alternatives (2026)

Langflow is open-source software for building agentic and retrieval-augmented generation applications. IBM announced plans to acquire DataStax, Langflow's parent company, subject to closing and regulatory approval. IBM now markets IBM Langflow with OSS, IBM Elite Support, Desktop, and Watsonx Orchestrate integration options, while the project remains available under the MIT License. DataStax removed hosted Langflow from Astra on April 9, 2026, leaving downloadable software as the clearest documented free path. Users can run it locally or on infrastructure they manage. IBM describes Docker and remote-server deployment. Langflow therefore combines a permissive software license with commercial support options. Its corporate status remains an announced transaction rather than a confirmed completed acquisition. Langflow’s permissive MIT license allows commercial use subject to its terms, unlike Flowise’s mixed Apache 2.0 and commercial licensing structure. IBM’s Langflow page lists OSS, Desktop, Elite Support, and Watsonx Orchestrate options, while the project remains available as downloadable software.

Langflow represents applications as visual flows assembled from components for models, prompts, tools, data sources, vector stores, and agent logic. Users can choose from hundreds of prebuilt flows and components, customize behavior with Python, and expose completed flows through an API. Built-in API and MCP servers allow workflows to become tools usable from other frameworks or application stacks. The homepage presents drag-and-drop construction, reusable components, real-time iteration, and deployment choices. The downloadable project can run locally, through Docker, on a remote server, or on other documented infrastructure. This combination suits teams seeking visual development for agents and RAG applications while retaining source access and programmatic integration. Flows can combine routing, tools, memory, structured output, and retrieval components within a visual canvas. Langflow also supports hundreds of prebuilt flows and components, while Python customization can alter component behavior beyond the available visual settings.

Langflow supports major language models, vector databases, tools, RAG applications, agentic flows, and MCP servers. Version 1.13.0 was released on October 22, 2026, adding team and user administration APIs and CLI support, provenance features, pinned MCP action-to-tool mode, OAuth and integration bundles, triggers and events APIs, audit logs, migrations, GDPR data-subject erase requests, and Segment-routed telemetry. Langflow documents installation-scoped pseudonymous telemetry delivered through Segment. Prompts, messages, code, passwords, files, authentication details, and MCP configuration are excluded by default, and users can opt out with DO_NOT_TRACK=True. These details describe the software release, not connected model providers or external infrastructure. Langflow 1.13.0 added administration APIs and CLI support, provenance features, OAuth and integration bundles, triggers, events, audit logs, migrations, and GDPR data-subject erase requests. The release also routes product telemetry through Segment, extending the platform’s administration and governance features.

The MIT-licensed software has a free entry price, and Langflow does not publish a current paid Langflow price schedule or product usage limits. IBM lists Elite Support and Watsonx Orchestrate-related options without public prices, so those commercial routes are Custom rather than free software tiers. Users running Langflow themselves may pay for infrastructure and model-provider calls. Render documentation requires at least 2 GB RAM and a paid Render account, while Railway documents a Hobby account with two CPU cores and 2 GB RAM. Those infrastructure requirements and provider charges are separate from Langflow's license. Langflow’s hosted cloud is advertised as free, but the company does not publish current public usage limits or paid USD tiers. Self-hosting through Render requires at least 2 GB RAM and a paid account, while Railway documents a Hobby deployment with two CPU cores and 2 GB RAM.

Langflow's principal limitation is operational responsibility. Its interface can execute arbitrary developer-provided Python with host filesystem and network access, and it provides no process-level isolation between tenants, so external infrastructure must enforce isolation and authentication. Compared with Flowise, Langflow has an MIT license and current release activity, while Flowise reached EOL on August 31, 2026, with its repository archived and packages deprecated. Compared with Sim, Langflow favors editable Python and self-managed deployment, while Sim offers managed cloud and self-hosting. Langflow’s security documentation warns that flows can run developer-provided Python with filesystem and network access, and that tenants lack process-level isolation. Compared with Flowise, which reached end of life on August 31, 2026, Langflow offers ongoing releases and MIT licensing, while still requiring infrastructure controls. Langflow suits teams seeking visual agent development, source control, and self-hosting who can secure infrastructure and pay model-provider costs.