Core RAG schema with pgvector support for document embeddings
Local MCP server for Claude Context using PostgreSQL and Ollama
MemWal — Privacy-first AI memory SDK with Ed25519 delegate key auth
MCP server for HyperStack  knowledge graph memory for AI agents. Portable memory across Cursor, Claude Desktop, VS Code, Windsurf. Multi-agent coordination.
Buzo AI retrieval observability SDK — mirror your AI agent's vector retrievals and LLM generations to Buzo for usage-weighted findings, served-flagged alerts, cited-flagged attribution, and dead-vector detection.
Persistent, trust-scored project memory for AI coding agents — MCP server + CLI
Opinionated multi-agent skill pack for Claude Code, Codex, and Cursor: deep skills for Stripe, Supabase, Plaid, Expo, copywriting frameworks, and agent meta-tooling, plus a TOON command wrapper for input-token savings.
Persistent memory for AI agents. Multi-strategy retrieval (semantic + BM25 + RRF), 3-zone cosine triage, type-aware lifecycle, entity canonicalization. Postgres + pgvector.
AI identity and memory system — portable persona, knowledge sync, semantic search across agents and devices
MCP server with mem0 integration for long-term memory using PostgreSQL and pgvector
Mosaic Platform skill for Claude Code - build and deploy apps instantly
Stateful AI agent memory layer for PostgreSQL with pgvector - TypeScript-first with intelligent context management
RAG vector index helpers for HNSW and IVFFlat
vec2vec linear projection adapter for vex � translate embeddings between models without re-embedding.
MCP server for instanode.dev — lets AI coding agents provision ephemeral Postgres databases and webhook receivers over HTTPS, with optional bearer-token auth for paid users.
Retrieval engine and knowledge base for LLMs and agents. Find the right things, fast.
PostgreSQL Model Context Protocol (MCP) server - JavaScript implementation
Create a new EpistemicDB project
Unified wrapper around popular vector databases — one API, any backend
Postgres implementation of VectorStore<TDocumentReference, TDocument> for @silyze/kb
A powerful, pluggable vector memory and MCP server for semantic search.
Multi-agent AI system with memory and autonomous capabilities
RAG functions for import, export, and vector search
Multi-tenant, production-safe memory layer for AI applications