Comparison
deer-flow vs langflow
Verdict
Pick deer-flow if deer-flow is an advanced SuperAgent platform for handling complex tasks over extended periods with a comprehensive set of functionalities such as sandboxes and memories; pick langflow if langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
Markdown twin · deer-flow alternatives · langflow alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | deer-flow | langflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · 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 that handles complex tasks over minutes to hours.
- langflow
- Tool for building and deploying AI-powered agents and workflows
Stars
- deer-flow
- 80k
- langflow
- 153k
Forks
- deer-flow
- 11k
- langflow
- 9.7k
Open issues
- deer-flow
- 948
- langflow
- 972
Language
- deer-flow
- Python
- langflow
- Python
Adopt for
- deer-flow
- Deer-flow is an advanced SuperAgent platform for handling complex tasks over extended periods with a comprehensive set of functionalities such as sandboxes and memories.
- langflow
- Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
Persona
- deer-flow
- -
- langflow
- -
Runtime
- deer-flow
- -
- langflow
- -
License
- deer-flow
- MIT
- langflow
- MIT
Last pushed
- deer-flow
- Aug 16, 2026
- langflow
- Aug 2, 2026
Categories
- deer-flow
- AI Agents
- langflow
- AI Agents, Model Training
Trust and health
Open issues (now)
- deer-flow
- 948
- langflow
- 972
Stars delta
- deer-flow
- +2.9k (30d)
- langflow
- Unknown
Open issues delta
- deer-flow
- -29 (30d)
- langflow
- Unknown
OSV dependency advisories
- deer-flow
- No lockfile (source not queried)
- langflow
- No published findings from this source as of 2026-07-11
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…
- 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-framework, ai-agents, langchain.
- When you need to manage lengthy workflows over minutes to hours that require constant supervision or adaptation by the AI agent, deer-flow's long-horizon capabilities make it suitable.
When NOT to use deer-flow
- For short, straightforward tasks that do not require extensive workflows (under a minute), deer-flow might be overkill due to its advanced functionalities and setup complexity.
- If your team is primarily working with technologies like Node.js or TypeScript rather than Python, other tools might offer better integration and support.
Choose langflow if…
- Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings..
- 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 Model Training.
- Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
When NOT to use langflow
- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14.
- Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
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 Aug 16, 2026
- GitHub forks (bytedance/deer-flow) · observed Aug 16, 2026
- Last push (bytedance/deer-flow) · observed Aug 16, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langflow-ai/langflow) · observed Aug 2, 2026
- GitHub forks (langflow-ai/langflow) · observed Aug 2, 2026
- Last push (langflow-ai/langflow) · observed Aug 2, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deer-flow 80k · langflow 153k (synced Aug 16, 2026).
Common questions
- What is the difference between deer-flow and langflow?
- deer-flow: An open-source long-horizon SuperAgent that handles complex tasks over minutes to hours.. langflow: 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 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-framework, ai-agents, langchain; When you need to manage lengthy workflows over minutes to hours that require constant supervision or adaptation by the AI agent, deer-flow's long-horizon capabilities make it suitable.
- When should I choose langflow over deer-flow?
- Choose langflow over deer-flow when Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.; 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 Model Training; Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
- When should I avoid deer-flow?
- For short, straightforward tasks that do not require extensive workflows (under a minute), deer-flow might be overkill due to its advanced functionalities and setup complexity. If your team is primarily working with technologies like Node.js or TypeScript rather than Python, other tools might offer better integration and support.
- When should I avoid langflow?
- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14. Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
- Is deer-flow or langflow more popular on GitHub?
- langflow has more GitHub stars (152,744 vs 80,066). 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.