Comparison
openagent vs superduper
Verdict
Pick openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license; 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 · openagent alternatives · superduper alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | openagent | superduper |
|---|---|---|
| Maintenance | Steady (64d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (383d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 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 Aug 9, 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
- openagent
- Harness architecture for rapidly building vertical AI agents
- superduper
- End-to-end framework for building custom AI applications and agents.
Stars
- openagent
- 811
- superduper
- 5.3k
Forks
- openagent
- 82
- superduper
- 546
Open issues
- openagent
- 49
- superduper
- 36
Language
- openagent
- Python
- superduper
- Python
Adopt for
- openagent
- OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license.
- 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
- openagent
- -
- superduper
- -
Runtime
- openagent
- -
- superduper
- -
License
- openagent
- MIT
- superduper
- Apache-2.0
Last pushed
- openagent
- Jul 17, 2026
- superduper
- Sep 1, 2025
Categories
- openagent
- AI Agents, Data & Retrieval, Vector Databases
- superduper
- AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- openagent
- Steady (60%)
- superduper
- Dormant (18%)
Days since push
- openagent
- 64d
- superduper
- 383d
Open issues (now)
- openagent
- 49
- superduper
- 36
Stars delta
- openagent
- +19 (30d)
- superduper
- +10 (30d)
Open issues delta
- openagent
- +3 (30d)
- superduper
- 0 (30d)
Owner type
- openagent
- User
- superduper
- Organization
Full report
- openagent
- Trust report
- superduper
- Trust report
Choose openagent if…
- License: openagent is MIT, superduper is Apache-2.0.
- Tags unique to openagent: agent, celery, deepagents, deepresearch.
- Also covers Vector Databases.
- Need integration of OpenAI and Dify functionalities.
When NOT to use openagent
- Projects requiring only basic AI functionality without deep reasoning loops or RAG.
- Teams preferring non-Python environments for AI agent development.
Choose superduper if…
- License: superduper is Apache-2.0, openagent is MIT.
- Requirements: Support for specific database backends can be configured via plugins..
- Tags unique to superduper: chatbot, data, database, distributed-ml.
- Also covers 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 (Haohao-end/openagent) · observed Sep 20, 2026
- GitHub forks (Haohao-end/openagent) · observed Sep 20, 2026
- Last push (Haohao-end/openagent) · observed Jul 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Aug 9, 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: openagent 811 · superduper 5.3k (synced Sep 20, 2026).
Common questions
- What is the difference between openagent and superduper?
- openagent: Harness architecture for rapidly building vertical AI agents. 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 openagent over superduper?
- Choose openagent over superduper when License: openagent is MIT, superduper is Apache-2.0; Tags unique to openagent: agent, celery, deepagents, deepresearch; Also covers Vector Databases; Need integration of OpenAI and Dify functionalities.
- When should I choose superduper over openagent?
- Choose superduper over openagent when License: superduper is Apache-2.0, openagent is MIT; Requirements: Support for specific database backends can be configured via plugins.; Tags unique to superduper: chatbot, data, database, distributed-ml; Also covers 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 openagent?
- Projects requiring only basic AI functionality without deep reasoning loops or RAG. Teams preferring non-Python environments for AI agent development.
- 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 openagent or superduper more popular on GitHub?
- superduper has more GitHub stars (5,323 vs 811). Stars measure visibility, not whether either tool fits your constraints.
- Are openagent and superduper open source?
- Yes - both are open-source projects on GitHub (openagent: MIT, superduper: Apache-2.0).
- Where can I find alternatives to openagent or superduper?
- GraphCanon lists graph-backed alternatives at openagent alternatives and superduper alternatives (openagent 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, openagent or superduper?
- openagent: Steady. 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 openagent and superduper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openagent trust report; superduper trust report.