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 an AI agent tool that facilitates interaction with various LLM providers and allows for extensive configuration through a CLI.
Markdown twin · DeepResearch alternatives · hermes-agent alternatives
GraphCanon updated Sep 20, 2026
15views this month
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Trust & integrity
| Signal | DeepResearch | hermes-agent |
|---|---|---|
| Maintenance | Slowing (172d since push) As of Aug 19, 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 Aug 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- DeepResearch
- Tongyi Deep Research, the Leading Open-source Deep Research Agent
- hermes-agent
- The agent that grows with you
Stars
- DeepResearch
- 20k
- hermes-agent
- 247k
Forks
- DeepResearch
- 1.5k
- hermes-agent
- 52k
Open issues
- DeepResearch
- 92
- hermes-agent
- 44k
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 an AI agent tool that facilitates interaction with various LLM providers and allows for extensive configuration through a CLI.
Persona
- DeepResearch
- -
- hermes-agent
- -
Runtime
- DeepResearch
- -
- hermes-agent
- -
License
- DeepResearch
- Apache-2.0
- hermes-agent
- MIT License
Last pushed
- DeepResearch
- Feb 27, 2026
- hermes-agent
- Sep 18, 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
- 44k
Stars delta
- DeepResearch
- +161 (30d)
- hermes-agent
- +16k (30d)
Open issues delta
- DeepResearch
- 0 (30d)
- hermes-agent
- +11909 (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: The tool is free to use under the MIT license, but additional services or features may incur costs..
- Requirements: Min 2 GB RAM; The tool requires the GitHub CLI to be installed, which can be installed via winget..
- 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, ai-agent, ai-agents, anthropic.
- hermes-agent ships Docker support for self-hosted deployment.
- When you need a tool that can be configured to work with multiple LLM providers, including Anthropic, OpenAI, and others.
When NOT to use hermes-agent
- If you require a graphical user interface for managing your AI agent configurations, as Hermes-agent primarily operates through a CLI.
- When you are working exclusively with a single LLM provider and do not need the flexibility to switch between different providers.
- If you are not interested in integrating your AI agent with external messaging platforms, as Hermes-agent includes a gateway feature that might be unnecessary for your 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 Sep 20, 2026
- GitHub forks (Alibaba-NLP/DeepResearch) · observed Sep 20, 2026
- Last push (Alibaba-NLP/DeepResearch) · observed Feb 27, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NousResearch/hermes-agent) · observed Sep 20, 2026
- GitHub forks (NousResearch/hermes-agent) · observed Sep 20, 2026
- Last push (NousResearch/hermes-agent) · 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: DeepResearch 20k · hermes-agent 247k (synced Sep 20, 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: The tool is free to use under the MIT license, but additional services or features may incur costs.; Requirements: Min 2 GB RAM; The tool requires the GitHub CLI to be installed, which can be installed via winget.; 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, ai-agent, ai-agents, anthropic; hermes-agent ships Docker support for self-hosted deployment; When you need a tool that can be configured to work with multiple LLM providers, including Anthropic, OpenAI, and others.
- 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?
- If you require a graphical user interface for managing your AI agent configurations, as Hermes-agent primarily operates through a CLI. When you are working exclusively with a single LLM provider and do not need the flexibility to switch between different providers. If you are not interested in integrating your AI agent with external messaging platforms, as Hermes-agent includes a gateway feature that might be unnecessary for your needs.
- Is DeepResearch or hermes-agent more popular on GitHub?
- hermes-agent has more GitHub stars (246,684 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.