Comparison
magic vs dify
Verdict
Pick magic if magic is an open-source suite combining AI agents with workflow management and collaboration tools like instant messaging; 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.
Markdown twin · magic alternatives · dify alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | magic | dify |
|---|---|---|
| Maintenance | Steady (33d since push) As of Sep 15, 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 15, 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 Jul 19, 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
- magic
- All-in-one AI productivity platform
- dify
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
Stars
- magic
- 5.0k
- dify
- 156k
Forks
- magic
- 561
- dify
- 25k
Open issues
- magic
- 17
- dify
- 1.1k
Language
- magic
- TypeScript
- dify
- TypeScript
Adopt for
- magic
- Magic is an open-source suite combining AI agents with workflow management and collaboration tools like instant messaging.
- 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.
Persona
- magic
- -
- dify
- -
Runtime
- magic
- -
- dify
- -
License
- magic
- Magic Open Source License based on Apache 2.0 with additional restrictions, ensuring modifications are open but retaining copyrights and disclaimers as per the license.
- dify
- Other
Last pushed
- magic
- Aug 12, 2026
- dify
- Sep 18, 2026
Categories
- magic
- AI Agents, Developer Tools
- dify
- AI Agents, Data & Retrieval, Developer Tools
Trust and health
Maintenance
- magic
- Steady (60%)
- dify
- Very active (96%)
Days since push
- magic
- 33d
- dify
- 0d
Open issues (now)
- magic
- 17
- dify
- 1.1k
Stars delta
- magic
- +48 (30d)
- dify
- +4.5k (30d)
Open issues delta
- magic
- +3 (30d)
- dify
- +172 (30d)
Full report
- magic
- Trust report
- dify
- Trust report
Choose magic if…
- Requirements: Requires Docker.
- Tags unique to magic: agi, gpt, llm, low-code.
- When a diverse set of functionalities under one platform is required for managing workflows, automating tasks, and enabling seamless communication among team members.
When NOT to use magic
- When focused exclusively on a specialized aspect of AI development like model training, as Magic offers an all-in-one solution which might add unnecessary complexity.
- For users requiring immediate Windows OS compatibility without waiting for upcoming support releases, given that Windows is not currently supported in self-hosted setups.
Choose dify if…
- Tags unique to dify: agentic-ai, agentic-framework, agentic-workflow, automation.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dtyq/magic) · observed Sep 20, 2026
- GitHub forks (dtyq/magic) · observed Sep 20, 2026
- Last push (dtyq/magic) · observed Aug 12, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 19, 2026
- 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 Sep 18, 2026
GitHub stars on cards: magic 5.0k · dify 156k (synced Sep 20, 2026).
Common questions
- What is the difference between magic and dify?
- magic: All-in-one AI productivity platform. dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. See the comparison table for live GitHub stats and shared categories.
- When should I choose magic over dify?
- Choose magic over dify when Requirements: Requires Docker; Tags unique to magic: agi, gpt, llm, low-code; When a diverse set of functionalities under one platform is required for managing workflows, automating tasks, and enabling seamless communication among team members.
- When should I choose dify over magic?
- Choose dify over magic when Tags unique to dify: agentic-ai, agentic-framework, agentic-workflow, automation; 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 avoid magic?
- When focused exclusively on a specialized aspect of AI development like model training, as Magic offers an all-in-one solution which might add unnecessary complexity. For users requiring immediate Windows OS compatibility without waiting for upcoming support releases, given that Windows is not currently supported in self-hosted setups.
- 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.
- Is magic or dify more popular on GitHub?
- dify has more GitHub stars (156,243 vs 5,027). Stars measure visibility, not whether either tool fits your constraints.
- Are magic and dify open source?
- Yes - both are open-source projects on GitHub (magic: Other, dify: Other).
- Where can I find alternatives to magic or dify?
- GraphCanon lists graph-backed alternatives at magic alternatives and dify alternatives (magic markdown twin, dify 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, magic or dify?
- magic: Steady. dify: 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 magic and dify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: magic trust report; dify trust report.