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 an AI agent tool that facilitates interaction with various LLM providers and allows for extensive configuration through a CLI.
Markdown twin · deep-research alternatives · hermes-agent alternatives
GraphCanon updated Sep 20, 2026
22views this month
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Trust & integrity
| Signal | deep-research | hermes-agent |
|---|---|---|
| Maintenance | Slowing (129d 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 · Personal 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
- 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
- 247k
Forks
- deep-research
- 2.0k
- hermes-agent
- 52k
Open issues
- deep-research
- 93
- hermes-agent
- 44k
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 an AI agent tool that facilitates interaction with various LLM providers and allows for extensive configuration through a CLI.
Persona
- deep-research
- -
- hermes-agent
- -
Runtime
- deep-research
- -
- hermes-agent
- -
License
- deep-research
- MIT
- hermes-agent
- MIT License
Last pushed
- deep-research
- Apr 11, 2026
- hermes-agent
- Sep 18, 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
- 44k
Stars delta
- deep-research
- +195 (30d)
- hermes-agent
- +16k (30d)
Open issues delta
- deep-research
- +3 (30d)
- hermes-agent
- +11909 (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, gpt, o3-mini, research.
- 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: 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..
- 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, ai-agents, anthropic, chatgpt.
- 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 (dzhng/deep-research) · observed Sep 20, 2026
- GitHub forks (dzhng/deep-research) · observed Sep 20, 2026
- Last push (dzhng/deep-research) · observed Apr 11, 2026
- License file (MIT) · 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: deep-research 20k · hermes-agent 247k (synced Sep 20, 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, gpt, o3-mini, research; 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: 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.; 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, ai-agents, anthropic, chatgpt; When you need a tool that can be configured to work with multiple LLM providers, including Anthropic, OpenAI, and others.
- 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?
- 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 deep-research or hermes-agent more popular on GitHub?
- hermes-agent has more GitHub stars (246,684 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.