Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosystem.
Chat with any other OpenAI SDK Compatible Chat Completions API, like Perplexity, Groq, xAI and more
Quality signal
53/100 (Fair)
44/100 (Fair)
Install path
npx · high
npx · high
Engagement
2 0 0 20,773
0 0 0 155
Tools
Continuous capture of screen, audio, keyboard, and app switchesTimestamped SQL and embedding storage for efficient retrievalSemantic search powered by AIEvent-triggered automation pipelines (pipes)100% local data storage with optional encryptionSource-available codebase for inspection and modification
Single chat tool forwarding requests to configured AI chat APISupports any OpenAI SDK compatible chat completions endpointConfigurable via environment variables for API key, model, base URL, and provider nameCan run multiple instances for different providers simultaneouslyTypeScript implementation with build and watch scriptsCompatible with Claude Desktop and LibreChat clients
