Comparison
deer-flow vs langflow
Verdict
Pick deer-flow if deerFlow is an AI-driven SuperAgent harness that leverages sandboxes, memories, tools, skills, subagents, and a message gateway to manage tasks over extended periods, from minutes to hours; 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 · deer-flow alternatives · langflow alternatives
GraphCanon updated Sep 20, 2026
13views this month
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Trust & integrity
| Signal | deer-flow | langflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 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 Sep 18, 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 Sep 18, 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
- deer-flow
- An open-source long-horizon SuperAgent harness for research, coding, and creation.
- langflow
- A tool for building and deploying AI-powered agents and workflows
Stars
- deer-flow
- 83k
- langflow
- 155k
Forks
- deer-flow
- 11k
- langflow
- 10k
Open issues
- deer-flow
- 874
- langflow
- 1.1k
Language
- deer-flow
- Python
- langflow
- Python
Adopt for
- deer-flow
- DeerFlow is an AI-driven SuperAgent harness that leverages sandboxes, memories, tools, skills, subagents, and a message gateway to manage tasks over extended periods, from minutes to hours.
- 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
- deer-flow
- -
- langflow
- -
Runtime
- deer-flow
- -
- langflow
- -
License
- deer-flow
- MIT
- langflow
- MIT
Last pushed
- deer-flow
- Sep 18, 2026
- langflow
- Sep 18, 2026
Categories
- deer-flow
- AI Agents
- langflow
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- deer-flow
- 874
- langflow
- 1.1k
Stars delta
- deer-flow
- +2.6k (30d)
- langflow
- +2.2k (30d)
Open issues delta
- deer-flow
- -74 (30d)
- langflow
- +114 (30d)
OSV dependency advisories
- deer-flow
- No lockfile (source not queried)
- langflow
- No published findings from this source as of 2026-09-18
Full report
- deer-flow
- Trust report
- langflow
- Trust report
Typed relationship
deer-flow alternative langflowDeerFlow and langflow are both powerful tools for building AI-powered agents and workflows, with DeerFlow focusing on a broad range of agent capabilities including research and coding while langflow is known for its visual design interface.
Choose deer-flow if…
- Requirements: Requires Docker; DeerFlow requires Docker for deployment, with the entry port published on 127.0.0.1 by default to ensure a local trusted environment..
- DeerFlow and langflow are both powerful tools for building AI-powered agents and workflows, with DeerFlow focusing on a broad range of agent capabilities including research and coding while langflow is known for its visual design interface.
- Tags unique to deer-flow: agent, agentic, agentic-framework, agentic-workflow.
- Use DeerFlow when you need an AI-driven SuperAgent that can handle complex tasks over long durations, such as deep research or extended coding projects.
When NOT to use deer-flow
- Avoid using DeerFlow in untrusted environments, such as public cloud servers or LAN networks, without implementing strict security measures, as it poses significant security risks.
- Do not use DeerFlow if you cannot ensure that the deployment adheres to compliance and legal standards, as improper deployment can lead to legal liability and risks.
Choose langflow if…
- DeerFlow and langflow are both powerful tools for building AI-powered agents and workflows, with DeerFlow focusing on a broad range of agent capabilities including research and coding while langflow is known for its visual design interface.
- 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 (bytedance/deer-flow) · observed Sep 20, 2026
- GitHub forks (bytedance/deer-flow) · observed Sep 20, 2026
- Last push (bytedance/deer-flow) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (langflow-ai/langflow) · observed Sep 20, 2026
- GitHub forks (langflow-ai/langflow) · observed Sep 20, 2026
- Last push (langflow-ai/langflow) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: deer-flow 83k · langflow 155k (synced Sep 20, 2026).
Common questions
- What is the difference between deer-flow and langflow?
- deer-flow: An open-source long-horizon SuperAgent harness for research, coding, and creation.. 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 deer-flow over langflow?
- Choose deer-flow over langflow when Requirements: Requires Docker; DeerFlow requires Docker for deployment, with the entry port published on 127.0.0.1 by default to ensure a local trusted environment.; DeerFlow and langflow are both powerful tools for building AI-powered agents and workflows, with DeerFlow focusing on a broad range of agent capabilities including research and coding while langflow is known for its visual design interface; Tags unique to deer-flow: agent, agentic, agentic-framework, agentic-workflow; Use DeerFlow when you need an AI-driven SuperAgent that can handle complex tasks over long durations, such as deep research or extended coding projects.
- When should I choose langflow over deer-flow?
- Choose langflow over deer-flow when DeerFlow and langflow are both powerful tools for building AI-powered agents and workflows, with DeerFlow focusing on a broad range of agent capabilities including research and coding while langflow is known for its visual design interface; 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 deer-flow?
- Avoid using DeerFlow in untrusted environments, such as public cloud servers or LAN networks, without implementing strict security measures, as it poses significant security risks. Do not use DeerFlow if you cannot ensure that the deployment adheres to compliance and legal standards, as improper deployment can lead to legal liability and risks.
- 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 deer-flow or langflow more popular on GitHub?
- langflow has more GitHub stars (154,963 vs 82,626). Stars measure visibility, not whether either tool fits your constraints.
- Are deer-flow and langflow open source?
- Yes - both are open-source projects on GitHub (deer-flow: MIT, langflow: MIT).
- Where can I find alternatives to deer-flow or langflow?
- GraphCanon lists graph-backed alternatives at deer-flow alternatives and langflow alternatives (deer-flow 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, deer-flow or langflow?
- deer-flow: 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 deer-flow and langflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deer-flow trust report; langflow trust report.