PhidatavsCody

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Phidata

AI Agent Frameworks

Build AI agents with memory, knowledge, and tools

Full review →Website ↗

Cody

Coding Assistants

AI coding assistant by Sourcegraph with codebase context

Full review →Website ↗
FeaturePhidataCody
CategoryAI Agent FrameworksCoding Assistants
PricingFree (open-source) + CloudFree + Pro $9/mo
GitHub Stars
✓ More stars
15k
5k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows
Key Features
  • ✓ Agent memory
  • ✓ Knowledge base
  • ✓ Tool use
  • ✓ Structured output
  • ✓ Multi-model
  • ✓ Codebase context
  • ✓ Code search
  • ✓ Autocomplete
  • ✓ Chat
  • ✓ Multi-repo
Pros
  • + Clean, Pythonic API
  • + Built-in memory and knowledge
  • + Production-focused
  • + Good documentation
  • + Multi-model support
  • + Deep codebase context
  • + Multi-repo understanding
  • + Code search integration
  • + Free tier available
  • + Privacy controls
Cons
  • − Rebranding confusion (Phidata→Agno)
  • − Smaller community than LangChain
  • − Some features require cloud
  • − Less flexible for custom setups
  • − Best with Sourcegraph (less useful standalone)
  • − Smaller model selection
  • − Enterprise pricing
  • − Less known than Copilot
Tags
agentsmemoryknowledgepython
codingsourcegraphcontextsearch

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