Home/Compare/future-agi vs langflow

Comparison

future-agi vs langflow

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.

Markdown twin · future-agi alternatives · langflow alternatives

GraphCanon updated today

future-agi logo

future-agi

future-agi/future-agi

1.4kpushed Jul 11, 2026
vs
langflow logo

langflow

langflow-ai/langflow

152kpushed Jul 11, 2026

Trust & integrity

Signalfuture-agilangflow
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No criticals
As of today · osv@v1

Tagline

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.

Stars

future-agi
1.4k
langflow
152k

Forks

future-agi
368
langflow
9.7k

Open issues

future-agi
437
langflow
975

Language

future-agi
Python
langflow
Python

Adopt for

future-agi
-
langflow
Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach.

Persona

future-agi
-
langflow
-

Runtime

future-agi
-
langflow
-

License

future-agi
Apache-2.0
langflow
MIT

Last pushed

future-agi
Jul 11, 2026
langflow
Jul 11, 2026

Categories

future-agi
AI Agents, LLM Frameworks, Inference & Serving
langflow
AI Agents, Inference & Serving

Trust and health

Open issues (now)

future-agi
437
langflow
975

Security scan

future-agi
No lockfile
langflow
No criticals

Full report

future-agi
Trust report
langflow
Trust report

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.

When NOT to use future-agi

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

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 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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: future-agi 1.4k · langflow 152k (synced Jul 11, 2026).

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?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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 and langflow alternatives (future-agi markdown twin, langflow markdown twin), 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 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; langflow trust report.