Short answer
Claude Context is a search tool: hybrid keyword and vector search over chunks of code, with embeddings from a provider you configure and a vector database, Zilliz Cloud by default. It has no call graph. Pixel searches too, and adds callers, blast radius, task scope and your Git history, from one local index with no API key.
Side by side
Not benchmarked. No figure: how Pixel and Claude Context work, side by side. Nothing on this page is a measurement.
| Measure | Pixel | Claude Context |
|---|---|---|
| Plain-English search | Yes, local | Yes, through an embedding provider |
| Callers, blast radius | Yes | No |
| Where the index lives | .pixel/, on your machine | Milvus, or Zilliz Cloud by default |
| Keys to configure | None | An embedding provider and a vector database |
Where Claude Context wins
A managed cloud vector store, a choice of embedding provider, and a VS Code extension.
How they differ
Claude Context splits code along its syntax tree, embeds each chunk with a provider you configure (OpenAI, VoyageAI, Gemini or Ollama) and stores it in Milvus or Zilliz Cloud; its MCP tools index a codebase and search it by keyword and meaning. Pixel’s index lives in .pixel/ on your machine: pixel search-meaning for a question in plain English, pixel search-content for a regex, and a call graph behind pixel who-calls and pixel impact.
Choosing
Use Claude Context if your team already runs Milvus or Zilliz Cloud and wants a managed vector search behind its agents. Use Pixel for search with no key and no service, plus the call graph, task scope and Git history that search alone does not give.