Home/Compare/open-swe vs langflow

Comparison

open-swe vs langflow

Verdict

Pick open-swe if open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware; pick langflow if langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models.

Markdown twin · open-swe alternatives · langflow alternatives

GraphCanon updated Sep 20, 2026

21views this month

open-swe logo

open-swe

langchain-ai/open-swe

★ 11kpushed Aug 19, 2026
vs
langflow logo

langflow

langflow-ai/langflow

★ 155kpushed Sep 18, 2026

Trust & integrity

Signalopen-swelangflow
Maintenance
Very active (0d since push)
As of Aug 19, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 19, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No published findings from this source as of 2026-09-18
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

open-swe
An Open-Source Asynchronous Coding Agent
langflow
A tool for building and deploying AI-powered agents and workflows

Stars

open-swe
11k
langflow
155k

Forks

open-swe
1.2k
langflow
10k

Open issues

open-swe
28
langflow
1.1k

Language

open-swe
Python
langflow
Python

Adopt for

open-swe
open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware.
langflow
Langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models.

Persona

open-swe
-
langflow
-

Runtime

open-swe
-
langflow
-

License

open-swe
MIT
langflow
MIT

Last pushed

open-swe
Aug 19, 2026
langflow
Sep 18, 2026

Categories

open-swe
AI Agents, Evaluation & Observability
langflow
AI Agents, Developer Tools

Trust and health

Open issues (now)

open-swe
28
langflow
1.1k

Stars delta

open-swe
+221 (30d)
langflow
+2.2k (30d)

Open issues delta

open-swe
+4 (30d)
langflow
+114 (30d)

OSV dependency advisories

open-swe
No lockfile (source not queried)
langflow
No published findings from this source as of 2026-09-18

Full report

open-swe
Trust report
langflow
Trust report

Typed relationship

open-swe alternative langflowBoth focus on building and deploying AI agents and workflows, though LangFlow may have a more focused approach towards agent-specific needs rather than general coding support.

Choose open-swe if…

  • Both focus on building and deploying AI agents and workflows, though LangFlow may have a more focused approach towards agent-specific needs rather than general coding support.
  • Tags unique to open-swe: agent, ai, anthropic, claudecode.
  • Also covers Evaluation & Observability.
  • open-swe ships Docker support for self-hosted deployment.
  • If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively.

When NOT to use open-swe

  • Not recommended if you require real-time interaction with coding agents instead of asynchronous communication.
  • Avoid choosing this tool if your project does not align well with customization options provided or if integration complexity outweighs benefits.

Choose langflow if…

  • Both focus on building and deploying AI agents and workflows, though LangFlow may have a more focused approach towards agent-specific needs rather than general coding support.
  • Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models.
  • Also covers Developer Tools.
  • When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.

When NOT to use langflow

  • If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas.
  • When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range.
  • If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.

Explore

Sources

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

GitHub stars on cards: open-swe 11k · langflow 155k (synced Sep 20, 2026).

Common questions

What is the difference between open-swe and langflow?
open-swe: An Open-Source Asynchronous Coding Agent. langflow: A 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 open-swe over langflow?
Choose open-swe over langflow when Both focus on building and deploying AI agents and workflows, though LangFlow may have a more focused approach towards agent-specific needs rather than general coding support; Tags unique to open-swe: agent, ai, anthropic, claudecode; Also covers Evaluation & Observability; open-swe ships Docker support for self-hosted deployment; If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively.
When should I choose langflow over open-swe?
Choose langflow over open-swe when Both focus on building and deploying AI agents and workflows, though LangFlow may have a more focused approach towards agent-specific needs rather than general coding support; Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; Also covers Developer Tools; When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.
When should I avoid open-swe?
Not recommended if you require real-time interaction with coding agents instead of asynchronous communication. Avoid choosing this tool if your project does not align well with customization options provided or if integration complexity outweighs benefits.
When should I avoid langflow?
If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas. When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range. If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.
Is open-swe or langflow more popular on GitHub?
langflow has more GitHub stars (154,963 vs 10,576). Stars measure visibility, not whether either tool fits your constraints.
Are open-swe and langflow open source?
Yes - both are open-source projects on GitHub (open-swe: MIT, langflow: MIT).
Where can I find alternatives to open-swe or langflow?
GraphCanon lists graph-backed alternatives at open-swe alternatives and langflow alternatives (open-swe 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, open-swe or langflow?
open-swe: 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 open-swe and langflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-swe trust report; langflow trust report.

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