Comparison
deer-flow vs superduper
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 superduper if superduper provides an extensive end-to-end framework for building custom AI applications and agents, leveraging a variety of technologies including Python and PyTorch.
Markdown twin · deer-flow alternatives · superduper alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | deer-flow | superduper |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (383d since push) As of Sep 20, 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 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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.
- superduper
- End-to-end framework for building custom AI applications and agents.
Stars
- deer-flow
- 83k
- superduper
- 5.3k
Forks
- deer-flow
- 11k
- superduper
- 546
Open issues
- deer-flow
- 874
- superduper
- 36
Language
- deer-flow
- Python
- superduper
- 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.
- superduper
- Superduper provides an extensive end-to-end framework for building custom AI applications and agents, leveraging a variety of technologies including Python and PyTorch.
Persona
- deer-flow
- -
- superduper
- -
Runtime
- deer-flow
- -
- superduper
- -
License
- deer-flow
- MIT
- superduper
- Apache-2.0
Last pushed
- deer-flow
- Sep 18, 2026
- superduper
- Sep 1, 2025
Categories
- deer-flow
- AI Agents
- superduper
- AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- deer-flow
- Very active (96%)
- superduper
- Dormant (18%)
Days since push
- deer-flow
- 0d
- superduper
- 383d
Open issues (now)
- deer-flow
- 874
- superduper
- 36
Stars delta
- deer-flow
- +2.6k (30d)
- superduper
- +10 (30d)
Open issues delta
- deer-flow
- -74 (30d)
- superduper
- 0 (30d)
Full report
- deer-flow
- Trust report
- superduper
- Trust report
Choose deer-flow if…
- License: deer-flow is MIT, superduper is Apache-2.0.
- 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..
- 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 superduper if…
- License: superduper is Apache-2.0, deer-flow is MIT.
- Requirements: Support for specific database backends can be configured via plugins..
- Tags unique to superduper: ai, chatbot, data, database.
- Also covers Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks, Model Training.
- * You require a comprehensive environment for deploying both AI applications and agents that can integrate with MongoDB or similar backends.
When NOT to use superduper
- * If your team is looking for a more specialized tool tailored to specific aspects of ML workflows (e.g., only serving inference), rather than an all-in-one solution like Superduper.
- * When Python 3.10+ is not available or feasible in your project environment, as Superduper requires this version to operate.
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 (superduper-io/superduper) · observed Sep 20, 2026
- GitHub forks (superduper-io/superduper) · observed Sep 20, 2026
- Last push (superduper-io/superduper) · observed Sep 1, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deer-flow 83k · superduper 5.3k (synced Sep 20, 2026).
Common questions
- What is the difference between deer-flow and superduper?
- deer-flow: An open-source long-horizon SuperAgent harness for research, coding, and creation.. superduper: End-to-end framework for building custom AI applications and agents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deer-flow over superduper?
- Choose deer-flow over superduper when License: deer-flow is MIT, superduper is Apache-2.0; 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.; 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 superduper over deer-flow?
- Choose superduper over deer-flow when License: superduper is Apache-2.0, deer-flow is MIT; Requirements: Support for specific database backends can be configured via plugins.; Tags unique to superduper: ai, chatbot, data, database; Also covers Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks, Model Training; * You require a comprehensive environment for deploying both AI applications and agents that can integrate with MongoDB or similar backends.
- 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 superduper?
- * If your team is looking for a more specialized tool tailored to specific aspects of ML workflows (e.g., only serving inference), rather than an all-in-one solution like Superduper. * When Python 3.10+ is not available or feasible in your project environment, as Superduper requires this version to operate.
- Is deer-flow or superduper more popular on GitHub?
- deer-flow has more GitHub stars (82,626 vs 5,323). Stars measure visibility, not whether either tool fits your constraints.
- Are deer-flow and superduper open source?
- Yes - both are open-source projects on GitHub (deer-flow: MIT, superduper: Apache-2.0).
- Where can I find alternatives to deer-flow or superduper?
- GraphCanon lists graph-backed alternatives at deer-flow alternatives and superduper alternatives (deer-flow markdown twin, superduper 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 superduper?
- deer-flow: Very active. superduper: Dormant. 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 superduper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deer-flow trust report; superduper trust report.