Found 148 results for pgvector
The Mind Palace for AI Agents — a true Cognitive Architecture with Hebbian learning (episodic→semantic consolidation), ACT-R spreading activation (multi-hop causal reasoning), uncertainty-aware rejection gates (agents that know when they don't know), adve
Unified PostGraphile v5 search plugin — abstracts tsvector, BM25, pg_trgm, and pgvector behind a single adapter-based architecture with composite searchScore
Knowledge base CLI for querying and curating agent knowledge.
21 production-grade microservice building blocks for AI-native SaaS — auth, billing, LLM gateway, agent registry, RAG, guardrails, tracing, and more. Each with PostgreSQL, HTTP API, MCP server, and CLI.
Your Claude Code sessions don't have to start from scratch anymore — SpecMem gives your AI real memory. It won't forget your conversations, your code, or your architecture decisions between sessions. That's the whole point. Semantic code indexing that act
Persistent memory for AI agents. Multi-strategy retrieval (semantic + BM25 + RRF), 3-zone cosine triage, type-aware lifecycle, entity canonicalization. Postgres + pgvector.
PostgreSQL adapter for @atscript/db with pg (node-postgres) driver support.
Memory-as-a-service MCP server for AI agents. 11 tools, Postgres + pgvector, multi-strategy retrieval. Works with Claude Code, Cursor, Codex, and any MCP client.
Cognitive science-based AI memory framework — Weibull decay, triple-path retrieval, multi-backend storage
Persistent memory SDK for AI agents — Stanford Generative Agents architecture on Supabase + pgvector
AI identity and memory system — portable persona, knowledge sync, semantic search across agents and devices
The memory layer for AI applications — hybrid RAG retrieval, PII shield, polyglot storage
CogxAI — Persistent memory SDK for AI agents. Store, recall, dream, and reflect. Stanford Generative Agents architecture on Supabase + pgvector.
Advanced AI vector database CLI for PostgreSQL - pgvector drop-in replacement with 53+ SQL functions, 39 attention mechanisms, GNN layers, hyperbolic embeddings, and self-learning capabilities
Long-term semantic memory for AI agents (TypeScript)
VoltX database — Drizzle ORM + Neon Postgres + Pinecone + pgvector adapters
PostGraphile v5 codec plugin for pgvector — makes vector columns, mutations, and functions work automatically
Unforget memory plugin for OpenClaw — zero-LLM, 4-channel retrieval, zero config
spin up an actual/real postgres server programmatically from within nodejs, for testing or mocking during development
AI embeddings and semantic search plugin for Strapi v5 with pgvector support
Long-term semantic memory for AI agents (TypeScript)
PG-native long-term memory for AI agents. Turn-level embedding, hybrid RRF ranking, optional knowledge graph. Includes CLI, MCP server, and OpenClaw plugin.
MCP server for PostgreSQL with pgvector semantic search capabilities
The Repository Memory Infrastructure
Long-term project memory for AI agents backed by PostgreSQL and pgvector.
PostgreSQL adapter package for AbsoluteJS RAG workflows, with pgvector as the first vector implementation
<p align="center"> <h1 align="center">Semnova</h1> <p align="center"> Zero API keys. Zero cloud costs. Local AI-powered semantic search for Node.js. </p> <p align="center"> <a href="https://www.npmjs.com/package/semnova"><img src="https://
AI runtime for KickJS — providers, @AiTool decorator, streaming, RAG, and agent loops
OpenClaw native plugin for PostgreSQL-backed RAG, memory, and persona management
Client library for memory engine
PostgreSQL adapter for @kgensearch — tsvector + pgvector, up to 100M records
Self-hosted, local-first MCP server for agent memory backed by PostgreSQL + pgvector
MCP server providing long-term memory for AI agents with semantic, graph, and temporal retrieval. Works with Claude Desktop, Claude Code, and Cursor.
NestJS library for knowledge base management with vector search — PostgreSQL (pgvector) and MongoDB backends, OpenAI embeddings, RAG retrieval
Embex Vector Database ORM Node.js Bindings
OpenClaw Plugin — Supabase pgvector long-term memory + knowledge base with auto-recall
MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,
PostgreSQL filesystem provider for just-bash with ltree, FTS, vector search, and RLS
AI agent Postgres vector store tool with vector search and custom SQL capabilities
Standalone MCP server package for @mahin14m/project-context-memory.
Supabase pgvector vector store plugin for ragpipe
Memory SDK for AI chatbots - facts, embeddings, semantic search, emotional capture, consolidation
Hive MCP server — AI dev session logs, plans, and semantic search via Supabase pgvector
Persistent zero-knowledge memory for AI agents. Store, recall and transfer encrypted context across models.
Advanced PGVector + Postgres nodes for n8n with full CRUD control
Local semantic memory with PGlite + pgvector - budget Qdrant for AI agents
Utility for batch creating vectors via API
Memory Service SDK for Metrio AI - multi-tenant memory management with pgvector
AI工具管理器 - 为Next.js项目提供AI工具管理和动态加载功能，添加了工具的创建、更新、删除、搜索等客户端功能，解决客户端导入服务器端工具的错误，继续优化客户端功能，添加分页搜索,参数去掉shape。自定义库取代@ai-sdk/react，解决swr问题,添加tool的模拟运行。添加一键生成工具。
Remote MCP server for searching U.S. FOIA statutes via Supabase. Provides hybrid search (BM25 + vector + RRF) with VoyageAI embeddings and reranking.
A PGVector extension for Prisma
Search microservice — full-text, semantic (pgvector), and hybrid document search
Knowledge microservice — RAG collections, document ingestion, chunking, embeddings, semantic/text/hybrid retrieval
AI SDK extension plugin for YouTube transcript vector embeddings with semantic search and RAG queries.
Genkit community plugin for Supabase pgvector-backed indexing and retrieval.
MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,
Memory microservice — vector search, semantic recall, collections, embeddings
Local-first PostgreSQL toolkit with hybrid text (tsvector) + vector (pgvector) search, Docker-managed ephemeral/persistent databases, and a TypeScript API for documents and entities.
AI-powered shopping assistant plugin for Vendure — LLM chat, vector search, cart management, and order tracking
A lightweight context engine for AI agents. Ingest events, build semantic context, query with natural language. Zero config default with SQLite + local TF-IDF embeddings.
A complete Retrieval-Augmented Generation system using pgvector, LangChain, and LangGraph for Node.js applications with dynamic embedding and model providers, structured data queries, and chat history - supports OpenAI, Anthropic, HuggingFace, Azure, Goog
MCP server for Open Brain: Postgres + pgvector shared memory for Cursor, Claude, and any MCP client
A framework for connecting your data to large language models
Persistent memory infrastructure for AI agents — knowledge graph, semantic dedup, decay, x402 micropayments
Persistent knowledge memory layer for AI agents. Rust core, Postgres + pgvector backend, MCP protocol.
ParadeDb JavaScript Client Library
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Engine + storage abstraction for embeddings and similarity search.
Production MCP server for multi-agent AI research with OpenRouter
Your Claude Code sessions don't have to start from scratch anymore — SpecMem gives your AI real memory. It won't forget your conversations, your code, or your architecture decisions between sessions. That's the whole point. Semantic code indexing that act
TypeScript SDK for Supabase AI/RAG operations with pgvector
A production-ready Model Context Protocol (MCP) server for semantic memory management
Production MCP server for multi-agent AI research with OpenRouter
ParadeDb JavaScript Client Library Component for Midway.js
pgvector adapter for OrkaJS — works with PostgreSQL and Supabase
A production-ready Model Context Protocol (MCP) server for semantic memory management
A powerful, multimodal RAG engine with contextual retrieval, auto-prompt discovery, and PostgreSQL-native vector search
PostgreSQL + pgvector store adapter for mem0-community.
AI-Native, PostgreSQL-compatible database with vector search, HNSW indexing, and full ACID compliance. All 421 tests passing. NEW: Window Functions, CTEs, Subqueries, JOINs, GROUP BY/HAVING!
PostgreSQL + pgvector provider for Khavee AI SDK
PostGraphile v5 plugin for pgvector similarity search
TraceAI instrumentation for pgvector (PostgreSQL vector extension)
The Mind Palace for AI Agents — persistent memory (SQLite/Supabase), behavioral learning & IDE rules sync, multimodal VLM image captioning, pluggable LLM providers (OpenAI/Anthropic/Gemini/Ollama), OpenTelemetry distributed tracing, GDPR export, multi-age
React component library for AI-powered chat widgets with RAG knowledge base integration, realtime updates, and human agent support
Enterprise-grade Node-RED nodes for PostgreSQL + pgvector with OpenTelemetry observability, structured logging, and production-ready resilience.
MCP server for PostgreSQL vector database with semantic and full-text search capabilities using pgvector
Stdio proxy for PG-Memory - connects stdio-based MCP clients (Claude Desktop, Raycast) to your PG-Memory HTTP server using Clerk API key authentication. Personal knowledge base with 14 tools (6 read + 8 admin) including articles, Q&A, semantic search, and
VS Code RLM integration - Recursive Language Model patterns with GitHub Copilot agents, skills, and semantic memory
Embedded PostgreSQL with pgvector extension for Node.js applications
Core RAG schema with pgvector support for document embeddings
RAG vector index helpers for HNSW and IVFFlat
Simplified Deep Research MCP for Qwen Desktop (no database)
Advanced n8n node for Agentic RAG with Supabase pgvector - handles structured/unstructured documents with AI-powered query refinement
MCP client configuration for REMBR - semantic memory for AI agents, RLMs, and multi-agent systems
RAG vector index helpers for HNSW and IVFFlat
CLI tool to create modern Node.js projects with TypeScript, AI capabilities, and more
Strapi v5 plugin for vector embeddings with OpenAI and Neon PostgreSQL. Enables semantic search, RAG chat, and MCP (Model Context Protocol) integration.
Patches and enhancements for LangChain.js
Advanced RAG integration library with intelligent user preference tracking, runtime schema introspection, dynamic entity graph building, and comprehensive debugging tools for MongoDB, PostgreSQL, and vector stores
A memory management system based on PostgreSQL + pgvector for LangGraph workflows
Personal AI brain. Store, search, and grow your knowledge.
The open-source memory layer for AI agents — MCP server backed by PostgreSQL + pgvector + Apache AGE
MCP server for semantic code search with PostgreSQL and pgvector
MCP server for fetching and searching documentation with semantic search
Strapi v5 plugin for vector embeddings with OpenAI and Neon PostgreSQL. Enables semantic search, RAG chat, and MCP (Model Context Protocol) integration.
OpenRouter MCP server for research agents
Stateful AI agent memory layer for PostgreSQL with pgvector - TypeScript-first with intelligent context management
Lightweight RAG toolkit for pgvector — chunking, hybrid search SQL, MMR, RRF, and more. Zero runtime dependencies.
OpenRouter MCP server for research agents
RAG functions for import, export, and vector search
Global vector memory MCP server with intelligent learning and feedback for Claude Code
Unified wrapper around popular vector databases — one API, any backend
Production-ready orchestration framework for Claude Desktop with 30+ specialized agents, smart hooks, vector memory, and autonomous workflows
Lightweight TypeScript RAG system with PostgreSQL, OpenAI & Cohere - Built by beavers, for builders 🦫
Multi-vector RAG pipeline engine for Ejiogbe Voices. Declarative YAML pipeline orchestration with multi-vector fusion search. TypeScript-native, Supabase-backed.
RAG functions for import, export, and vector search
Semantic search MCP server for your codebase using PostgreSQL + pgvector + Ollama
Automatically and continuously vectorize your PostgreSQL tables with the flexibility of your own embedding pipelines
MCP Knowledge Graph Memory Server with Supabase + pgvector for semantic search
MeshOS - A memory system for AI agents
Hybrid search toolkit for Postgres (pgvector + BM25 + rerank)
A production-ready Model Context Protocol (MCP) server for semantic memory management
MCP server for semantic agent selection using pgvector embeddings
Free and open-source AI memory system for preventing code duplication and ensuring pattern consistency
PostgreSQL database adapter for Recall with native pgvector support. Production-ready AI memory storage with vector similarity search.
MCP Rag search of the customer related informations
Reusable retrieval primitives for Taura-style “type → recall” apps.
Library-first realtime RAG engine with pgvector and streaming generation.
Multi-tenant, production-safe memory layer for AI applications
Production-ready RAG (Retrieval-Augmented Generation) framework for Next.js applications with PostgreSQL + pgvector
Official TS/JS client library for NeuraLex API
Core RAG schema with pgvector support for document embeddings
MCP server for knowledge base with Mastra.ai and pgvector
A lightweight, project-agnostic semantic memory system for storing and retrieving text with embeddings
Automatically generate and sync vector embeddings for PostgreSQL text data
Easy-to-use semantic search plugin for Supabase with automatic embedding generation and vector similarity search
Regular-RAG is a framework-agnostic RAG (Retrieval-Augmented Generation) engine with built-in support for Knowledge Graphs and PostgreSQL/pgvector.
Universal SQL adapter for LokiCMS with multi-database support, data federation, and vector search
Production-ready TypeScript SDK for Vector Context DB - Multi-tenant vector database with AI pattern recognition
MCP server for semantic memory storage using local Postgres with pgvector
A lightweight RAG helper library (embeddings, splitter, in-memory store, Postgres adapter)
Virtual filesystem for AI agents backed by PostgreSQL — ChromaFs-equivalent using just-bash
Compositional semantic caching for LLM APIs and RAG pipelines
PostgreSQL pgvector vector store plugin for ragpipe
Multi-source knowledge plugin for OpenClaw — pgvector + LightRAG injection via before_prompt_build hook
Buzo — Vector store quality gate for CI/CD pipelines