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.
Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Quality signal
41/100 (Fair)
48/100 (Fair)
Install path
npx · high
npx · high
Engagement
1 0 0 45
3 0 0 19,216
Tools
Connects to Pinecone Assistant APISupports configurable multiple result retrievalRuns as a Docker container or from Rust sourceRequires Pinecone API key and Assistant host
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
