Comparison
n8n-ai-automations vs autogen
Verdict
Pick n8n-ai-automations when tags unique to n8n-ai-automations: agentic-ai, agentic-workflows, ai-agents, artificial-intelligence; pick autogen when requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
Markdown twin · n8n-ai-automations alternatives · autogen alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | n8n-ai-automations | autogen |
|---|---|---|
| Maintenance | Slowing (134d since push) As of today · github_public_v1 | Steady (87d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- n8n-ai-automations
- Collection of n8n workflows, n8n templates, AI automations, and AI agents created for The Recap AI YouTube channel and the AI Automation Mastery free Skool community.
- autogen
- A programming framework for agentic AI
Stars
- n8n-ai-automations
- 1.6k
- autogen
- 60k
Forks
- n8n-ai-automations
- 450
- autogen
- 9.0k
Open issues
- n8n-ai-automations
- 0
- autogen
- 945
Language
- n8n-ai-automations
- -
- autogen
- Python
Adopt for
- n8n-ai-automations
- -
- autogen
- AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.
Persona
- n8n-ai-automations
- -
- autogen
- -
Runtime
- n8n-ai-automations
- -
- autogen
- -
License
- n8n-ai-automations
- -
- autogen
- CC-BY-4.0
Last pushed
- n8n-ai-automations
- Mar 2, 2026
- autogen
- Apr 15, 2026
Categories
- n8n-ai-automations
- AI Agents, Vector Databases
- autogen
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- n8n-ai-automations
- Slowing (36%)
- autogen
- Steady (60%)
Days since push
- n8n-ai-automations
- 134d
- autogen
- 87d
Open issues (now)
- n8n-ai-automations
- 0
- autogen
- 945
Owner type
- n8n-ai-automations
- User
- autogen
- Organization
Full report
- n8n-ai-automations
- Trust report
- autogen
- Trust report
Choose n8n-ai-automations if…
- Tags unique to n8n-ai-automations: agentic-ai, agentic-workflows, ai-agents, artificial-intelligence.
- Also covers Vector Databases.
- Leaner open-issue backlog (0).
When NOT to use n8n-ai-automations
- Last GitHub push was 134 days ago (slowing maintenance, Mar 2, 2026). Validate activity before betting a new project on n8n-ai-automations.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose autogen if…
- Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
- Tags unique to autogen: agentic-agi, autogen, autogen-ecosystem, chatgpt.
- Also covers LLM Frameworks.
- You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When NOT to use autogen
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
- When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
- You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lucaswalter/n8n-ai-automations) · observed Jul 15, 2026
- GitHub forks (lucaswalter/n8n-ai-automations) · observed Jul 15, 2026
- Last push (lucaswalter/n8n-ai-automations) · observed Mar 2, 2026
- License file (unknown) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (microsoft/autogen) · observed Jul 11, 2026
- GitHub forks (microsoft/autogen) · observed Jul 11, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: n8n-ai-automations 1.6k · autogen 60k (synced Jul 15, 2026).
Common questions
- What is the difference between n8n-ai-automations and autogen?
- n8n-ai-automations: Collection of n8n workflows, n8n templates, AI automations, and AI agents created for The Recap AI YouTube channel and the AI Automation Mastery free Skool community.. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose n8n-ai-automations over autogen?
- Choose n8n-ai-automations over autogen when Tags unique to n8n-ai-automations: agentic-ai, agentic-workflows, ai-agents, artificial-intelligence; Also covers Vector Databases; Leaner open-issue backlog (0).
- When should I choose autogen over n8n-ai-automations?
- Choose autogen over n8n-ai-automations when Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, autogen, autogen-ecosystem, chatgpt; Also covers LLM Frameworks; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- When should I avoid n8n-ai-automations?
- Last GitHub push was 134 days ago (slowing maintenance, Mar 2, 2026). Validate activity before betting a new project on n8n-ai-automations. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid autogen?
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as
playwright/mcp, as AutoGen requires this setup for certain functionalities. - Is n8n-ai-automations or autogen more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 1,557). Stars measure visibility, not whether either tool fits your constraints.
- Are n8n-ai-automations and autogen open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to n8n-ai-automations or autogen?
- GraphCanon lists graph-backed alternatives at n8n-ai-automations alternatives and autogen alternatives (n8n-ai-automations markdown twin, autogen 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, n8n-ai-automations or autogen?
- n8n-ai-automations: Slowing. autogen: Steady. 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 n8n-ai-automations and autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: n8n-ai-automations trust report; autogen trust report.