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.
Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Quality signal
56/100 (Good)
47/100 (Fair)
Install path
npx · high
npx · high
Engagement
1 0 0 360
1 0 0 19,216
Tools
Runs fully locally with no external API or cloud dependencySupports semantic search combined with keyword boosting for exact matchesIndexes PDF, DOCX, Markdown, and plain text filesSemantic chunking preserves topic boundaries and code blocksMCP protocol support for integration with AI tools and CLI usageFile sync and incremental indexing with status and control tools
State-of-the-art performance on LongMemEval benchmarkSupports multiple LLM providers including OpenAI and AnthropicEasy integration via LLM wrapper or SDK/APIDocker deployment with PostgreSQL or Oracle AI Database supportClient libraries for Python and Node.jsEmbedded Python option without server dependency
