Comparison
DeepResearch vs hermes-agent
Verdict
Pick DeepResearch if deepResearch is an open-source AI research agent specialized for information-seeking tasks, built with Python and licensed under Apache-2.0; pick hermes-agent if hermes-agent is a Python-based AI project aimed at developing an adaptable AI agent.
Markdown twin · DeepResearch alternatives · hermes-agent alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DeepResearch | hermes-agent |
|---|---|---|
| Maintenance | Slowing (172d since push) As of today · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- DeepResearch
- Tongyi Deep Research, the Leading Open-source Deep Research Agent
- hermes-agent
- The agent that grows with you
Stars
- DeepResearch
- 20k
- hermes-agent
- 231k
Forks
- DeepResearch
- 1.5k
- hermes-agent
- 46k
Open issues
- DeepResearch
- 92
- hermes-agent
- 32k
Language
- DeepResearch
- Python
- hermes-agent
- Python
Adopt for
- DeepResearch
- DeepResearch is an open-source AI research agent specialized for information-seeking tasks, built with Python and licensed under Apache-2.0.
- hermes-agent
- Hermes-agent is a Python-based AI project aimed at developing an adaptable AI agent.
Persona
- DeepResearch
- -
- hermes-agent
- -
Runtime
- DeepResearch
- -
- hermes-agent
- -
License
- DeepResearch
- Apache-2.0
- hermes-agent
- MIT License; this allows for extensive freedoms including use in both personal and commercial projects with minimal legal restrictions.
Last pushed
- DeepResearch
- Feb 27, 2026
- hermes-agent
- Aug 15, 2026
Categories
- DeepResearch
- AI Agents, Inference & Serving
- hermes-agent
- AI Agents
Trust and health
Maintenance
- DeepResearch
- Slowing (36%)
- hermes-agent
- Very active (96%)
Days since push
- DeepResearch
- 172d
- hermes-agent
- 0d
Open issues (now)
- DeepResearch
- 92
- hermes-agent
- 32k
Stars delta
- DeepResearch
- +161 (30d)
- hermes-agent
- +15k (30d)
Open issues delta
- DeepResearch
- 0 (30d)
- hermes-agent
- +9115 (30d)
OSV dependency advisories
- DeepResearch
- Published findings
- hermes-agent
- No lockfile (source not queried)
Full report
- DeepResearch
- Trust report
- hermes-agent
- Trust report
Typed relationship
DeepResearch alternative hermes-agentHermes-Agent and Tongyi DeepResearch are both self-improving AI agents, suggesting they solve similar problems in different ways.
Choose DeepResearch if…
- License: DeepResearch is Apache-2.0, hermes-agent is MIT.
- Hermes-Agent and Tongyi DeepResearch are both self-improving AI agents, suggesting they solve similar problems in different ways.
- Tags unique to DeepResearch: agent, alibaba, artificial-intelligence, deep-research.
- Also covers Inference & Serving.
- When you need a tool backed by Alibaba’s ecosystem that offers a robust environment for conducting deep research using AI techniques.
When NOT to use DeepResearch
- Avoid DeepResearch if you require specialized features that are not covered under its deep research and information-seeking scope.
- Do not use this tool if your project necessitates proprietary solutions, as the open-source nature might be a constraint in such scenarios.
Choose hermes-agent if…
- License: hermes-agent is MIT, DeepResearch is Apache-2.0.
- Pricing: Open-source under the MIT license means it is free to modify, share, and distribute but additional services or premium versions may come at a cost..
- Requirements: Requires Python environment setup; adaptable AI functionalities might need integration with other specific libraries or APIs depending on the application..
- Hermes-Agent and Tongyi DeepResearch are both self-improving AI agents, suggesting they solve similar problems in different ways.
- Tags unique to hermes-agent: ai-agent, anthropic, chatgpt, claude.
- hermes-agent ships Docker support for self-hosted deployment.
- When you are in need of an adaptive AI tool that can evolve with your increasing complexity and changing needs, such as for continuous learning scenarios.
When NOT to use hermes-agent
- When your project demands a highly specialized and less flexible tool. Hermes-agent is designed for broader flexibility rather than specific tasks.
- If you are looking for an out-of-the-box, ready solution without the need for customization or growth over time, hermes-agent might require more setup and adjustment to meet your precise needs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Alibaba-NLP/DeepResearch) · observed Aug 19, 2026
- GitHub forks (Alibaba-NLP/DeepResearch) · observed Aug 19, 2026
- Last push (Alibaba-NLP/DeepResearch) · observed Feb 27, 2026
- License file (Apache-2.0) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NousResearch/hermes-agent) · observed Aug 16, 2026
- GitHub forks (NousResearch/hermes-agent) · observed Aug 16, 2026
- Last push (NousResearch/hermes-agent) · observed Aug 15, 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 on cards: DeepResearch 20k · hermes-agent 231k (synced Aug 19, 2026).
Common questions
- What is the difference between DeepResearch and hermes-agent?
- DeepResearch: Tongyi Deep Research, the Leading Open-source Deep Research Agent. hermes-agent: The agent that grows with you. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepResearch over hermes-agent?
- Choose DeepResearch over hermes-agent when License: DeepResearch is Apache-2.0, hermes-agent is MIT; Hermes-Agent and Tongyi DeepResearch are both self-improving AI agents, suggesting they solve similar problems in different ways; Tags unique to DeepResearch: agent, alibaba, artificial-intelligence, deep-research; Also covers Inference & Serving; When you need a tool backed by Alibaba’s ecosystem that offers a robust environment for conducting deep research using AI techniques.
- When should I choose hermes-agent over DeepResearch?
- Choose hermes-agent over DeepResearch when License: hermes-agent is MIT, DeepResearch is Apache-2.0; Pricing: Open-source under the MIT license means it is free to modify, share, and distribute but additional services or premium versions may come at a cost.; Requirements: Requires Python environment setup; adaptable AI functionalities might need integration with other specific libraries or APIs depending on the application.; Hermes-Agent and Tongyi DeepResearch are both self-improving AI agents, suggesting they solve similar problems in different ways; Tags unique to hermes-agent: ai-agent, anthropic, chatgpt, claude; hermes-agent ships Docker support for self-hosted deployment; When you are in need of an adaptive AI tool that can evolve with your increasing complexity and changing needs, such as for continuous learning scenarios.
- When should I avoid DeepResearch?
- Avoid DeepResearch if you require specialized features that are not covered under its deep research and information-seeking scope. Do not use this tool if your project necessitates proprietary solutions, as the open-source nature might be a constraint in such scenarios.
- When should I avoid hermes-agent?
- When your project demands a highly specialized and less flexible tool. Hermes-agent is designed for broader flexibility rather than specific tasks. If you are looking for an out-of-the-box, ready solution without the need for customization or growth over time, hermes-agent might require more setup and adjustment to meet your precise needs.
- Is DeepResearch or hermes-agent more popular on GitHub?
- hermes-agent has more GitHub stars (231,074 vs 19,846). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepResearch and hermes-agent open source?
- Yes - both are open-source projects on GitHub (DeepResearch: Apache-2.0, hermes-agent: MIT).
- Where can I find alternatives to DeepResearch or hermes-agent?
- GraphCanon lists graph-backed alternatives at DeepResearch alternatives and hermes-agent alternatives (DeepResearch markdown twin, hermes-agent 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, DeepResearch or hermes-agent?
- DeepResearch: Slowing. hermes-agent: 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 DeepResearch and hermes-agent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepResearch trust report; hermes-agent trust report.