Comparison
deer-flow vs hermes-agent
Verdict
Pick deer-flow if deerFlow is an AI-driven SuperAgent harness that leverages sandboxes, memories, tools, skills, subagents, and a message gateway to manage tasks over extended periods, from minutes to hours; 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 · deer-flow alternatives · hermes-agent alternatives
GraphCanon updated Sep 20, 2026
20views this month
vs
Trust & integrity
| Signal | deer-flow | hermes-agent |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 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 Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 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
- deer-flow
- An open-source long-horizon SuperAgent harness for research, coding, and creation.
- hermes-agent
- The agent that grows with you
Stars
- deer-flow
- 83k
- hermes-agent
- 247k
Forks
- deer-flow
- 11k
- hermes-agent
- 52k
Open issues
- deer-flow
- 874
- hermes-agent
- 44k
Language
- deer-flow
- Python
- hermes-agent
- Python
Adopt for
- deer-flow
- DeerFlow is an AI-driven SuperAgent harness that leverages sandboxes, memories, tools, skills, subagents, and a message gateway to manage tasks over extended periods, from minutes to hours.
- 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
- deer-flow
- -
- hermes-agent
- -
Runtime
- deer-flow
- -
- hermes-agent
- -
License
- deer-flow
- MIT
- hermes-agent
- MIT License
Last pushed
- deer-flow
- Sep 18, 2026
- hermes-agent
- Sep 18, 2026
Categories
- deer-flow
- AI Agents
- hermes-agent
- AI Agents
Trust and health
Open issues (now)
- deer-flow
- 874
- hermes-agent
- 44k
Stars delta
- deer-flow
- +2.6k (30d)
- hermes-agent
- +16k (30d)
Open issues delta
- deer-flow
- -74 (30d)
- hermes-agent
- +11909 (30d)
Full report
- deer-flow
- Trust report
- hermes-agent
- Trust report
Typed relationship
deer-flow alternative hermes-agentBoth are designed as AI agents that evolve or adapt over time, potentially solving similar use cases with different architectural approaches.
Choose deer-flow if…
- Requirements: Requires Docker; DeerFlow requires Docker for deployment, with the entry port published on 127.0.0.1 by default to ensure a local trusted environment..
- Both are designed as AI agents that evolve or adapt over time, potentially solving similar use cases with different architectural approaches.
- Tags unique to deer-flow: agent, agentic, agentic-framework, agentic-workflow.
- Use DeerFlow when you need an AI-driven SuperAgent that can handle complex tasks over long durations, such as deep research or extended coding projects.
When NOT to use deer-flow
- Avoid using DeerFlow in untrusted environments, such as public cloud servers or LAN networks, without implementing strict security measures, as it poses significant security risks.
- Do not use DeerFlow if you cannot ensure that the deployment adheres to compliance and legal standards, as improper deployment can lead to legal liability and risks.
Choose hermes-agent if…
- 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 are designed as AI agents that evolve or adapt over time, potentially solving similar use cases with different architectural approaches.
- Tags unique to hermes-agent: ai, ai-agent, anthropic, chatgpt.
- 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 (bytedance/deer-flow) · observed Sep 20, 2026
- GitHub forks (bytedance/deer-flow) · observed Sep 20, 2026
- Last push (bytedance/deer-flow) · 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 (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: deer-flow 83k · hermes-agent 247k (synced Sep 20, 2026).
Common questions
- What is the difference between deer-flow and hermes-agent?
- deer-flow: An open-source long-horizon SuperAgent harness for research, coding, and creation.. hermes-agent: The agent that grows with you. See the comparison table for live GitHub stats and shared categories.
- When should I choose deer-flow over hermes-agent?
- Choose deer-flow over hermes-agent when Requirements: Requires Docker; DeerFlow requires Docker for deployment, with the entry port published on 127.0.0.1 by default to ensure a local trusted environment.; Both are designed as AI agents that evolve or adapt over time, potentially solving similar use cases with different architectural approaches; Tags unique to deer-flow: agent, agentic, agentic-framework, agentic-workflow; Use DeerFlow when you need an AI-driven SuperAgent that can handle complex tasks over long durations, such as deep research or extended coding projects.
- When should I choose hermes-agent over deer-flow?
- Choose hermes-agent over deer-flow when 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 are designed as AI agents that evolve or adapt over time, potentially solving similar use cases with different architectural approaches; Tags unique to hermes-agent: ai, ai-agent, anthropic, chatgpt; 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 deer-flow?
- Avoid using DeerFlow in untrusted environments, such as public cloud servers or LAN networks, without implementing strict security measures, as it poses significant security risks. Do not use DeerFlow if you cannot ensure that the deployment adheres to compliance and legal standards, as improper deployment can lead to legal liability and risks.
- 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 deer-flow or hermes-agent more popular on GitHub?
- hermes-agent has more GitHub stars (246,684 vs 82,626). Stars measure visibility, not whether either tool fits your constraints.
- Are deer-flow and hermes-agent open source?
- Yes - both are open-source projects on GitHub (deer-flow: MIT, hermes-agent: MIT).
- Where can I find alternatives to deer-flow or hermes-agent?
- GraphCanon lists graph-backed alternatives at deer-flow alternatives and hermes-agent alternatives (deer-flow 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, deer-flow or hermes-agent?
- deer-flow: Very active. 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 deer-flow and hermes-agent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deer-flow trust report; hermes-agent trust report.