Comparison
dify vs agents
Verdict
Pick dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments; 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 Oct 4, 2026
22views this month
Trust & integrity
| Signal | dify | agents |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Oct 4, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- dify
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- dify
- 156k
- agents
- 40k
Forks
- dify
- 25k
- agents
- 4.2k
Open issues
- dify
- 1.1k
- agents
- 12
Language
- dify
- TypeScript
- agents
- Python
Adopt for
- dify
- Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments.
- 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
- Sep 18, 2026
- agents
- Sep 19, 2026
Categories
- dify
- AI Agents, Data & Retrieval, Developer Tools
- agents
- AI Agents, Developer Tools
Trust and health
Days since push
- dify
- 0d
- agents
- 1d
Open issues (now)
- dify
- 1.1k
- agents
- 12
Stars delta
- dify
- +4.5k (30d)
- agents
- +895 (30d)
Open issues delta
- dify
- +172 (30d)
- agents
- +7 (30d)
Owner type
- dify
- Organization
- agents
- User
Full report
- dify
- Trust report
- agents
- Trust report
Typed relationship
Choose dify if…
- dify is primarily TypeScript; agents is Python.
- License: dify is Other, agents is MIT.
- 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, agentic-workflow, ai.
- Also covers Data & Retrieval.
- When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
When NOT to use dify
- If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool.
- When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites.
- If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.
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.
- 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 Sep 20, 2026
- GitHub forks (langgenius/dify) · observed Sep 20, 2026
- Last push (langgenius/dify) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
- GitHub stars (wshobson/agents) · observed Sep 20, 2026
- GitHub forks (wshobson/agents) · observed Sep 20, 2026
- Last push (wshobson/agents) · observed Sep 19, 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 on cards: dify 156k · agents 40k (synced Sep 20, 2026).
Common questions
- What is the difference between dify and agents?
- dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. 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; 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, agentic-workflow, ai; Also covers Data & Retrieval; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
- 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; 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 does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.
- 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 (156,243 vs 39,823). 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.