Comparison
dify vs agents-towards-production
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-towards-production if agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr.
Markdown twin · dify alternatives · agents-towards-production alternatives
GraphCanon updated Oct 4, 2026
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Trust & integrity
| Signal | dify | agents-towards-production |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (3d since push) As of Aug 18, 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 Aug 18, 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 Sep 13, 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-towards-production
- End-to-end, code-first tutorials for building production-grade GenAI agents
Stars
- dify
- 156k
- agents-towards-production
- 21k
Forks
- dify
- 25k
- agents-towards-production
- 2.8k
Open issues
- dify
- 1.1k
- agents-towards-production
- 15
Language
- dify
- TypeScript
- agents-towards-production
- Jupyter Notebook
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-towards-production
- agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr
Persona
- dify
- -
- agents-towards-production
- -
Runtime
- dify
- -
- agents-towards-production
- -
License
- dify
- Other
- agents-towards-production
- Other
Last pushed
- dify
- Sep 18, 2026
- agents-towards-production
- Aug 15, 2026
Categories
- dify
- AI Agents, Data & Retrieval, Developer Tools
- agents-towards-production
- AI Agents
Trust and health
Days since push
- dify
- 0d
- agents-towards-production
- 3d
Open issues (now)
- dify
- 1.1k
- agents-towards-production
- 15
Stars delta
- dify
- +4.5k (30d)
- agents-towards-production
- +191 (30d)
Open issues delta
- dify
- +172 (30d)
- agents-towards-production
- +4 (30d)
Owner type
- dify
- Organization
- agents-towards-production
- User
Full report
- dify
- Trust report
- agents-towards-production
- Trust report
Typed relationship
dify alternative agents-towards-productionagents-towards-production and dify both focus on agentic workflow development for production settings.
Choose dify if…
- dify is primarily TypeScript; agents-towards-production is Jupyter Notebook.
- agents-towards-production and dify both focus on agentic workflow development for production settings.
- Tags unique to dify: agent, agentic-framework, agentic-workflow, ai.
- Also covers Data & Retrieval, 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.
Choose agents-towards-production if…
- agents-towards-production is primarily Jupyter Notebook; dify is TypeScript.
- agents-towards-production and dify both focus on agentic workflow development for production settings.
- Tags unique to agents-towards-production: agent-framework, deployment, genai, langgraph.
- * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key.
When NOT to use agents-towards-production
- * If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures.
- * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation.
- * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may,
- other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent.
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 (NirDiamant/agents-towards-production) · observed Sep 20, 2026
- GitHub forks (NirDiamant/agents-towards-production) · observed Sep 20, 2026
- Last push (NirDiamant/agents-towards-production) · observed Aug 15, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Sep 13, 2026
GitHub stars on cards: dify 156k · agents-towards-production 21k (synced Sep 20, 2026).
Common questions
- What is the difference between dify and agents-towards-production?
- dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. agents-towards-production: End-to-end, code-first tutorials for building production-grade GenAI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose dify over agents-towards-production?
- Choose dify over agents-towards-production when dify is primarily TypeScript; agents-towards-production is Jupyter Notebook; agents-towards-production and dify both focus on agentic workflow development for production settings; Tags unique to dify: agent, agentic-framework, agentic-workflow, ai; Also covers Data & Retrieval, 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 choose agents-towards-production over dify?
- Choose agents-towards-production over dify when agents-towards-production is primarily Jupyter Notebook; dify is TypeScript; agents-towards-production and dify both focus on agentic workflow development for production settings; Tags unique to agents-towards-production: agent-framework, deployment, genai, langgraph; * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key.
- 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-towards-production?
- * If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures. * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation. * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may, other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent.
- Is dify or agents-towards-production more popular on GitHub?
- dify has more GitHub stars (156,243 vs 21,298). Stars measure visibility, not whether either tool fits your constraints.
- Are dify and agents-towards-production open source?
- Yes - both are open-source projects on GitHub (dify: Other, agents-towards-production: Other).
- Where can I find alternatives to dify or agents-towards-production?
- GraphCanon lists graph-backed alternatives at dify alternatives and agents-towards-production alternatives (dify markdown twin, agents-towards-production 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-towards-production?
- dify: Very active. agents-towards-production: 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-towards-production?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; agents-towards-production trust report.