Comparison
dify vs agents
Verdict
Pick dify if dify is a comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot.
Markdown twin · dify alternatives · agents alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | dify | agents |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- dify
- Production-ready platform for agentic workflow development
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- dify
- 152k
- agents
- 39k
Forks
- dify
- 24k
- agents
- 4.1k
Open issues
- dify
- 931
- agents
- 5
Language
- dify
- TypeScript
- agents
- Python
Adopt for
- dify
- Dify is a comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms.
- agents
- The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot
Persona
- dify
- -
- agents
- -
Runtime
- dify
- -
- agents
- -
License
- dify
- Other
- agents
- MIT
Last pushed
- dify
- Aug 7, 2026
- agents
- Aug 18, 2026
Categories
- dify
- AI Agents
- agents
- AI Agents, Developer Tools
Trust and health
Days since push
- dify
- 0d
- agents
- 1d
Open issues (now)
- dify
- 931
- agents
- 5
Stars delta
- dify
- +3.6k (30d)
- agents
- +860 (30d)
Open issues delta
- dify
- +118 (30d)
- agents
- +2 (30d)
Owner type
- dify
- Organization
- agents
- User
Full report
- dify
- Trust report
- agents
- Trust report
Typed relationship
dify alternative agentsBoth dify and agents (wshobson/agents) offer platforms for developing and managing agentic workflows, although with different features and integrations.
Choose dify if…
- dify is primarily TypeScript; agents is Python.
- License: dify is Other, agents is MIT.
- Requirements: Min 4 GB RAM; Requires Docker.
- Both dify and agents (wshobson/agents) offer platforms for developing and managing agentic workflows, although with different features and integrations.
- Tags unique to dify: agent, agentic-framework, gemini, genai.
- When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
When NOT to use dify
- If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0.
- In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
Choose agents if…
- agents is primarily Python; dify is TypeScript.
- License: agents is MIT, dify is Other.
- Both dify and agents (wshobson/agents) offer platforms for developing and managing agentic workflows, although with different features and integrations.
- Tags unique to agents: agent-skills, prompt-engineering, workflows.
- Also covers Developer Tools.
- You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments
When NOT to use agents
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
- Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langgenius/dify) · observed Aug 8, 2026
- GitHub forks (langgenius/dify) · observed Aug 8, 2026
- Last push (langgenius/dify) · observed Aug 7, 2026
- License file (Other) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (wshobson/agents) · observed Aug 19, 2026
- GitHub forks (wshobson/agents) · observed Aug 19, 2026
- Last push (wshobson/agents) · observed Aug 18, 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 on cards: dify 152k · agents 39k (synced Aug 8, 2026).
Common questions
- What is the difference between dify and agents?
- dify: Production-ready platform for agentic workflow development. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose dify over agents?
- Choose dify over agents when dify is primarily TypeScript; agents is Python; License: dify is Other, agents is MIT; Requirements: Min 4 GB RAM; Requires Docker; Both dify and agents (wshobson/agents) offer platforms for developing and managing agentic workflows, although with different features and integrations; Tags unique to dify: agent, agentic-framework, gemini, genai; When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
- When should I choose agents over dify?
- Choose agents over dify when agents is primarily Python; dify is TypeScript; License: agents is MIT, dify is Other; Both dify and agents (wshobson/agents) offer platforms for developing and managing agentic workflows, although with different features and integrations; Tags unique to agents: agent-skills, prompt-engineering, workflows; Also covers Developer Tools; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
- When should I avoid dify?
- If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0. In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
- When should I avoid agents?
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
- Is dify or agents more popular on GitHub?
- dify has more GitHub stars (151,725 vs 38,928). Stars measure visibility, not whether either tool fits your constraints.
- Are dify and agents open source?
- Yes - both are open-source projects on GitHub (dify: Other, agents: MIT).
- Where can I find alternatives to dify or agents?
- GraphCanon lists graph-backed alternatives at dify alternatives and agents alternatives (dify markdown twin, agents 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, dify or agents?
- dify: Very active. agents: 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 dify and agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; agents trust report.