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.
Self-hosted semantic memory server, served over MCP, for an engineering team's tribal knowledge: the tacit decisions and hard-won reasoning behind the code, captured once and kept queryable for the team and the agents they work with. Postgres-backed (pgvector).
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Quality signal
52/100 (Fair)
47/100 (Fair)
Install path
npx · high
npx · high
Engagement
0 0 0 9
1 0 0 19,216
Tools
MCP server exposing semantic memory graphPostgres backend with pgvector for vector searchSupports local or cloud embedding and inference providersBootstrap and register projects with bearer token issuanceDiagnostic commands for configuration and provider readiness
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
