Factory vs Decision Node

Detailed side-by-side comparison to help you choose the right tool

Factory

🔴Developer

Developer Tools

AI software development agents.

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Decision Node

🔴Developer

Developer Tools

MCP server that records development decisions as structured JSON, embeds them as vectors, and enables semantic search over past decisions.

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Starting Price

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Feature Comparison

Scroll horizontally to compare details.

FeatureFactoryDecision Node
CategoryDeveloper ToolsDeveloper Tools
Pricing Plans4 tiers6 tiers
Starting Price
Key Features

      Factory - Pros & Cons

      Pros

      • ✓Clear agent-native positioning for developers who want delegated implementation, not just autocomplete
      • ✓Pricing page shows individual entry points, including Pro at $20/month and higher usage tiers
      • ✓Teams plan mentions up to 150 seats, custom usage limits, SSO, SAML/SCIM, ZDR, and onboarding
      • ✓Good fit for organizations experimenting with many parallel software tasks

      Cons

      • ✗Less broadly known than Cursor, GitHub Copilot, or Devin, so ecosystem proof is still developing
      • ✗Public pages provide less concrete detail than some competitors on supported repositories and workflows
      • ✗Higher Max-style usage at $200/month can be expensive for individuals
      • ✗Teams should verify data retention, code access, and enterprise controls before connecting sensitive repos

      Decision Node - Pros & Cons

      Pros

      • ✓Semantic search finds relevant decisions even with different terminology
      • ✓92K installs signal strong community validation
      • ✓Works across all major AI coding tools via MCP
      • ✓Local storage keeps sensitive decisions on-premises
      • ✓Visual UI helps teams explore decision relationships
      • ✓Structured format prevents decisions from becoming unstructured brain dumps

      Cons

      • ✗Requires a Gemini API key for vector embeddings (adds dependency and cost)
      • ✗Only useful if the team consistently records decisions — needs adoption discipline
      • ✗Local-only storage means no built-in team sync or cloud collaboration
      • ✗Vector embeddings are Gemini-specific — no choice of embedding provider
      • ✗No integration with existing decision documentation tools (ADR tools, Notion, etc.)

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      Review FactoryReview Decision Node