Comparison
airweave vs dify
Verdict
Pick airweave if airweave is an open-source context retrieval layer for AI agents, emphasizing integration and data connectors for retrieval-augmented generation; 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 · airweave alternatives · dify alternatives
GraphCanon updated Oct 4, 2026
6views this month
Trust & integrity
| Signal | airweave | dify |
|---|---|---|
| Maintenance | Archived (104d 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 Oct 4, 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
- airweave
- Open-source context retrieval layer for AI agents
- dify
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
Stars
- airweave
- 6.6k
- dify
- 156k
Forks
- airweave
- 819
- dify
- 25k
Open issues
- airweave
- 105
- dify
- 1.1k
Language
- airweave
- Python
- dify
- TypeScript
Adopt for
- airweave
- Airweave is an open-source context retrieval layer for AI agents, emphasizing integration and data connectors for retrieval-augmented generation.
- 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
- airweave
- -
- dify
- -
Runtime
- airweave
- -
- dify
- -
License
- airweave
- MIT License
- dify
- Other
Last pushed
- airweave
- Jun 5, 2026
- dify
- Sep 18, 2026
Categories
- airweave
- AI Agents, Data & Retrieval
- dify
- AI Agents, Data & Retrieval, Developer Tools
Trust and health
Maintenance
- airweave
- Archived (8%)
- dify
- Very active (96%)
Days since push
- airweave
- 104d
- dify
- 0d
Archived on GitHub
- airweave
- Yes
- dify
- No
Open issues (now)
- airweave
- 105
- dify
- 1.1k
Stars delta
- airweave
- +5 (30d)
- dify
- +4.5k (30d)
Open issues delta
- airweave
- -14 (30d)
- dify
- +172 (30d)
Full report
- airweave
- Trust report
- dify
- Trust report
Choose airweave if…
- airweave is primarily Python; dify is TypeScript.
- License: airweave is MIT, dify is Other.
- Requirements: Requires Python for development and deployment..
- Tags unique to airweave: agent-infrastructure, ai-infrastructure, context-retrieval, data-connectors.
- When you need a retrieval-augmented generation layer that integrates seamlessly with various data sources and connectors.
When NOT to use airweave
- If your project does not require integration with multiple data sources or connectors, as Airweave's strength lies in its extensive integration capabilities.
- When you are looking for a tool that focuses solely on the development of AI agents without the retrieval-augmented generation aspect.
Choose dify if…
- dify is primarily TypeScript; airweave is Python.
- License: dify is Other, airweave is MIT.
- Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow.
- Also covers Developer Tools.
- 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 (airweave-ai/airweave) · observed Sep 20, 2026
- GitHub forks (airweave-ai/airweave) · observed Sep 20, 2026
- Last push (airweave-ai/airweave) · observed Jun 5, 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 (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 on cards: airweave 6.6k · dify 156k (synced Sep 20, 2026).
Common questions
- What is the difference between airweave and dify?
- airweave: Open-source context retrieval layer for AI agents. 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 airweave over dify?
- Choose airweave over dify when airweave is primarily Python; dify is TypeScript; License: airweave is MIT, dify is Other; Requirements: Requires Python for development and deployment.; Tags unique to airweave: agent-infrastructure, ai-infrastructure, context-retrieval, data-connectors; When you need a retrieval-augmented generation layer that integrates seamlessly with various data sources and connectors.
- When should I choose dify over airweave?
- Choose dify over airweave when dify is primarily TypeScript; airweave is Python; License: dify is Other, airweave is MIT; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers Developer Tools; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
- When should I avoid airweave?
- If your project does not require integration with multiple data sources or connectors, as Airweave's strength lies in its extensive integration capabilities. When you are looking for a tool that focuses solely on the development of AI agents without the retrieval-augmented generation aspect.
- 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 airweave or dify more popular on GitHub?
- dify has more GitHub stars (156,243 vs 6,563). Stars measure visibility, not whether either tool fits your constraints.
- Are airweave and dify open source?
- Yes - both are open-source projects on GitHub (airweave: MIT, dify: Other).
- Where can I find alternatives to airweave or dify?
- GraphCanon lists graph-backed alternatives at airweave alternatives and dify alternatives (airweave 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, airweave or dify?
- airweave: Archived. 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 airweave and dify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airweave trust report; dify trust report.