Chaindesk vs n8n

Side-by-side comparison of two AI agent tools

Short answer

  • Chaindesk has had no commit in 27 months; n8n is actively maintained (3,694 commits in the last 90 days).
  • n8n is growing faster: +3,978 GitHub stars in the last 30 days vs +4 for Chaindesk.
  • Pick Chaindesk for: the no-code platform for building custom LLM Agents. Pick n8n for: fair-code workflow automation platform with native AI capabilities.

From GitHub data refreshed daily.

The no-code platform for building custom LLM Agents

n8nfree

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Metrics

Chaindeskn8n
Stars3.0k206.5k
Star velocity /mo3.94736842105263144.0k
Commits (90d)03.7k
Releases (6m)010
Downloads (30d, npm + PyPI)—384.9K
Overall score0.17512883341861230.9297406531814896

Pros

  • +No-code approach potentially makes LLM agent creation accessible to non-developers
  • +Moderate GitHub community interest with 2940 stars
  • +Focuses specifically on custom LLM agents rather than general AI tools
  • +Hybrid approach combining visual workflow building with full JavaScript/Python coding capabilities when needed
  • +AI-native platform with LangChain integration for building sophisticated AI agent workflows using custom data and models
  • +Fair-code license ensures source code transparency with self-hosting options, providing data control and deployment flexibility

Cons

  • -Extremely limited documentation makes evaluation difficult
  • -Unclear what specific features or capabilities are actually provided
  • -Cannot assess reliability, performance, or production readiness from available information
  • -Requires technical knowledge to fully leverage coding capabilities and advanced features
  • -Self-hosting demands infrastructure management and maintenance overhead
  • -Fair-code license restricts commercial usage at scale without enterprise licensing

Use Cases

  • •Building chatbots or conversational agents without coding
  • •Creating custom AI assistants for specific business needs
  • •Prototyping LLM-powered applications through visual interfaces
  • •Building AI agent workflows that process customer data using LangChain and custom language models
  • •Automating complex business processes that require both API integrations and custom business logic
  • •Creating data synchronization pipelines between multiple SaaS tools while maintaining full control over sensitive data through self-hosting

FAQ

Which is more popular, Chaindesk or n8n?
n8n has more GitHub stars (206,548 vs 2,965).
Which is more actively developed, Chaindesk or n8n?
n8n had more commits in the last 90 days (3,694 vs 0).
Should I use Chaindesk or n8n?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.