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screenpipe vs Cortex

screenpipeCortex

Bottom line: screenpipe for privacy-conscious knowledge workers; Cortex for aPI teams with maintained specifications.

screenpipescreenpipe

Local-first screen and audio recall that gives your AI agents context

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CortexCortex

Turn API specifications into docs, typed SDKs, and an MCP server

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Votes00
PricingFreemiumFree
CategoryProductivityMcp
Tags
screen recordingai memorymeeting notesmcp serverlocal-firstcontext layer
mcp serverapi documentationsdk generationopenapiopen source
Best for
  • Privacy-conscious knowledge workers
  • Consultants and researchers who need work recall
  • Developers building on a local context API
  • API teams with maintained specifications
  • Teams exposing APIs to agents via MCP
  • Open-source projects needing docs and SDKs
Pros
  • Local-first capture and storage by default
  • Local API and MCP server for compatible AI assistants
  • Works with Claude, Codex, and other AI tools
  • Source-available code you can inspect
  • Runs on macOS, Windows, and Linux
  • MIT licensed with a public repository
  • Generates docs, SDKs, and an MCP server from one spec
  • Supports OpenAPI, AsyncAPI, GraphQL, gRPC, and OpenRPC
  • Eleven SDK output languages
  • Fully self-hostable, deployable anywhere Node runs
Cons
  • Source-available under a commercial license, not open source
  • Commercial or production use requires a paid license
  • Optional cloud AI, transcription, and sync send context off-device
  • Continuous capture raises consent and storage considerations
  • Free tier is limited to one device with limited history
  • Output quality depends entirely on spec quality
  • No hosted service or commercial support
  • Requires a build step in your pipeline
  • No team collaboration features
  • Young project with a small ecosystem

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