--- title: "future-agi vs langflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-langflow-ai-langflow" tools: ["future-agi-future-agi", "langflow-ai-langflow"] --- # future-agi vs langflow *GraphCanon updated Jul 11, 2026* ## Verdict Pick future-agi when license: future-agi is Apache-2.0, langflow is MIT; pick langflow when license: langflow is MIT, future-agi is Apache-2.0. [future-agi](https://futureagi.com) reports 1.4k GitHub stars, 368 forks, and 437 open issues, last pushed Jul 11, 2026. [langflow](http://www.langflow.org) has 152k stars, 9.7k forks, and 975 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [langflow's repository](https://github.com/langflow-ai/langflow). | | [future-agi](/tools/future-agi-future-agi.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Tagline | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0. | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | | Stars | 1,373 | 151,697 | | Forks | 368 | 9,654 | | Open issues | 437 | 975 | | Language | Python | Python | | Adopt for | - | Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | LLM Frameworks, AI Agents, Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [future-agi](/tools/future-agi-future-agi.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Open issues (now) | 437 | 975 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/future-agi-future-agi/trust.md) | [trust report](/tools/langflow-ai-langflow/trust.md) | ## Decision facts: langflow - **Adopt for:** Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. ## Choose when ### Choose future-agi if… - License: future-agi is Apache-2.0, langflow is MIT. - Tags unique to future-agi: llm, ai, evals, observability. - Also covers LLM Frameworks. - future-agi ships Docker support for self-hosted deployment. ### Choose langflow if… - License: langflow is MIT, future-agi is Apache-2.0. - Tags unique to langflow: multiagent, agents, large-language-models, generative-ai. - - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ## When NOT to use future-agi - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use langflow - - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖 ## Common questions ### What is the difference between future-agi and langflow? future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.. langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. See the comparison table for live GitHub stats and shared categories. ### When should I choose future-agi over langflow? Choose future-agi over langflow when License: future-agi is Apache-2.0, langflow is MIT; Tags unique to future-agi: llm, ai, evals, observability; Also covers LLM Frameworks; future-agi ships Docker support for self-hosted deployment. ### When should I choose langflow over future-agi? Choose langflow over future-agi when License: langflow is MIT, future-agi is Apache-2.0; Tags unique to langflow: multiagent, agents, large-language-models, generative-ai; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ### When should I avoid future-agi? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid langflow? - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖 ### Is future-agi or langflow more popular on GitHub? langflow has more GitHub stars (151,697 vs 1,373). Stars measure visibility, not whether either tool fits your constraints. ### Are future-agi and langflow open source? Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, langflow: MIT). ### Where can I find alternatives to future-agi or langflow? GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [langflow alternatives](/tools/langflow-ai-langflow/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [langflow markdown twin](/tools/langflow-ai-langflow/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/future-agi-future-agi-vs-langflow-ai-langflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, future-agi or langflow? future-agi: Very active. langflow: Very 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 future-agi and langflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [langflow trust report](/tools/langflow-ai-langflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-future-agi`](/api/graphcanon/graph?tool=future-agi-future-agi) - 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/_