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.
Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client.
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Quality signal
51/100 (Fair)
47/100 (Fair)
Install path
npx · high
npx · high
Engagement
0 0 0 6
1 0 0 19,216
Tools
17 tools for memory, knowledge graph, context, and artifact managementHybrid search combining BM25, vector embeddings, and graph connections24 relationship types for rich knowledge graph constructionContext checkpointing with awaken and reflect tools for session continuityCross-platform synchronization across multiple MCP clientsArtifact storage with save, retrieve, list, and delete capabilities
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
