Comparison
deep-research vs hermes-agent
Verdict
Pick deep-research if deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics; pick hermes-agent if hermes-agent is a Python-based AI project aimed at developing an adaptable AI agent.
Markdown twin · deep-research alternatives · hermes-agent alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | deep-research | hermes-agent |
|---|---|---|
| Maintenance | Slowing (129d since push) As of today · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal 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
- deep-research
- An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
- hermes-agent
- The agent that grows with you
Stars
- deep-research
- 20k
- hermes-agent
- 231k
Forks
- deep-research
- 2.0k
- hermes-agent
- 46k
Open issues
- deep-research
- 93
- hermes-agent
- 32k
Language
- deep-research
- TypeScript
- hermes-agent
- Python
Adopt for
- deep-research
- Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics.
- hermes-agent
- Hermes-agent is a Python-based AI project aimed at developing an adaptable AI agent.
Persona
- deep-research
- -
- hermes-agent
- -
Runtime
- deep-research
- -
- hermes-agent
- -
License
- deep-research
- MIT
- hermes-agent
- MIT License; this allows for extensive freedoms including use in both personal and commercial projects with minimal legal restrictions.
Last pushed
- deep-research
- Apr 11, 2026
- hermes-agent
- Aug 15, 2026
Categories
- deep-research
- AI Agents, Data & Retrieval
- hermes-agent
- AI Agents
Trust and health
Maintenance
- deep-research
- Slowing (36%)
- hermes-agent
- Very active (96%)
Days since push
- deep-research
- 129d
- hermes-agent
- 0d
Open issues (now)
- deep-research
- 93
- hermes-agent
- 32k
Stars delta
- deep-research
- +195 (30d)
- hermes-agent
- +15k (30d)
Open issues delta
- deep-research
- +3 (30d)
- hermes-agent
- +9115 (30d)
Owner type
- deep-research
- User
- hermes-agent
- Organization
OSV dependency advisories
- deep-research
- Published findings
- hermes-agent
- No lockfile (source not queried)
Full report
- deep-research
- Trust report
- hermes-agent
- Trust report
Typed relationship
deep-research alternative hermes-agentBoth deep-research and hermes-agent are self-improving AI agents designed to conduct research iteratively, making them alternatives in their approach.
Choose deep-research if…
- deep-research is primarily TypeScript; hermes-agent is Python.
- Requirements: Requires Docker.
- Both deep-research and hermes-agent are self-improving AI agents designed to conduct research iteratively, making them alternatives in their approach.
- Tags unique to deep-research: agent, ai, gpt, o3-mini.
- Also covers Data & Retrieval.
- When you need a tool that can refine its topic focus over time through repeated iterations.
When NOT to use deep-research
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment.
- If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
Choose hermes-agent if…
- hermes-agent is primarily Python; deep-research is TypeScript.
- 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..
- Both deep-research and hermes-agent are self-improving AI agents designed to conduct research iteratively, making them alternatives in their approach.
- Tags unique to hermes-agent: ai-agent, anthropic, chatgpt, claude.
- 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 (dzhng/deep-research) · observed Aug 19, 2026
- GitHub forks (dzhng/deep-research) · observed Aug 19, 2026
- Last push (dzhng/deep-research) · observed Apr 11, 2026
- License file (MIT) · 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: deep-research 20k · hermes-agent 231k (synced Aug 19, 2026).
Common questions
- What is the difference between deep-research and hermes-agent?
- deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. hermes-agent: The agent that grows with you. See the comparison table for live GitHub stats and shared categories.
- When should I choose deep-research over hermes-agent?
- Choose deep-research over hermes-agent when deep-research is primarily TypeScript; hermes-agent is Python; Requirements: Requires Docker; Both deep-research and hermes-agent are self-improving AI agents designed to conduct research iteratively, making them alternatives in their approach; Tags unique to deep-research: agent, ai, gpt, o3-mini; Also covers Data & Retrieval; When you need a tool that can refine its topic focus over time through repeated iterations.
- When should I choose hermes-agent over deep-research?
- Choose hermes-agent over deep-research when hermes-agent is primarily Python; deep-research is TypeScript; 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.; Both deep-research and hermes-agent are self-improving AI agents designed to conduct research iteratively, making them alternatives in their approach; Tags unique to hermes-agent: ai-agent, anthropic, chatgpt, claude; 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 deep-research?
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
- 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 deep-research or hermes-agent more popular on GitHub?
- hermes-agent has more GitHub stars (231,074 vs 19,571). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-research and hermes-agent open source?
- Yes - both are open-source projects on GitHub (deep-research: MIT, hermes-agent: MIT).
- Where can I find alternatives to deep-research or hermes-agent?
- GraphCanon lists graph-backed alternatives at deep-research alternatives and hermes-agent alternatives (deep-research 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, deep-research or hermes-agent?
- deep-research: 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 deep-research and hermes-agent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; hermes-agent trust report.