pgvector
40 servers · 1,450★ total
Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.
AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.
Shared memory MCP server — persistent, searchable, cross-client Claude, Opencode
AI-native construction estimating platform for intake, takeoff, pricing, scheduling, knowledge, and quotes.
Whole-codebase knowledge for AI coding agents. A field-aware code graph (functions, classes, methods, fields, references) plus persistent memory. Rust, Postgres + pgvector, MCP.
Zero-config MCP server for searchable documentation (SQLite default, PostgreSQL optional)
Self-hosted AI knowledge base with hybrid semantic search (pgvector + FTS + RRF), MCP server, multi-provider LLM inference (Ollama, OpenAI, OpenRouter, llama.cpp), multimodal ingestion (vision, audio transcription, speaker diarization), and knowledge graph. Rust + PostgreSQL.
🔒 Privacy-first MCP server for Claude using PostgreSQL + Ollama. Local alternative to cloud-based code context with full data sovereignty. No API keys, no external calls, 100% local.
Open-source, self-hosted knowledge backend for AI agents — hybrid search (vector + keyword), MCP server, 5 connectors, Docker-ready
MCP-native infrastructure for persistent AI agent memory with encrypted storage, semantic retrieval and cross-agent continuity.
MCP server for BookStack — 56 tools covering the full API + semantic vector search. Rust/tokio/axum, dual transport (SSE + Streamable HTTP), OAuth 2.1, pluggable DB (SQLite/PostgreSQL+pgvector).
Self-hosted semantic memory over MCP for an engineering team's tacit knowledge. Rust, Postgres + pgvector.
PeopleMesh is the AI-powered matching layer for modern organizations. It helps people discover the right colleagues, internal opportunities, communities, and projects through semantic search that understands context, not just keywords.
A semantic search and retrieval system for local documents using vector embeddings. Powered by MCP (Model Context Protocol).
Persistent memory MCP server for Claude Code — self-hosted, n8n + PostgreSQL + pgvector. No cloud required.
🧠 Production-ready MCP server providing intelligent memory for Claude Code with async architecture, Neo4j knowledge graphs, smart chunking & enterprise security. One-command Docker deployment.
Self-hosted MCP memory server — 35 tools for persistent context across AI coding sessions. Runs on Docker with PostgreSQL + pgvector + Ollama.
AI memory server with 56 tools. Knowledge Graph, semantic search, session tracking, multi-agent support. Free tier available.
Universal, cross-tool persistent memory bank for AI assistants (Claude Code, Cursor, Windsurf, OpenCode, Codex) powered by FastMCP, Gemini embeddings & Supabase pgvector.
A team's knowledge, captured where the work happens, filed by an agent, and answered with citations you can check.
Self-hosted MCP server for hybrid semantic code search and repository intelligence.
Self-hosted personal AI knowledge brain -- hybrid (vector + keyword + entity-graph) search over your notes and code, served to any MCP agent (Claude Code, Cursor, Codex). One AWS account, zero telemetry, MIT.
Open-source AI assistant with persistent memory, self-evolution, and proactive monitoring. Built with Next.js, FastAPI, LangGraph, and Claude. Your data stays on your machine.
Docker container for centralized Ruflo MCP server with PostgreSQL (RuVector). Architecture: Ruflo (stdio) → Express proxy (Streamable HTTP /mcp).
Auditable, self-improving knowledge & memory for AI agents over MCP. Zero-key & multilingual by default · citation-enforced answers · replayable why-trace · judge-gated compounding loop. Postgres-only. Reference implementation of the Agentic Product Standard.
Self-hosted documentation RAG pipeline that serves semantic search to LLM agents over the Model Context Protocol.
RE-call — Retrieval-Augmented Self-Recall: RAG over an AI agent's own memory that knows when it doesn't know (gap detection, freshness, anti-re-litigation). PostgreSQL + pgvector, hybrid retrieval + RRF.
Local-first MCP server for shared memory, reservations, handoffs, and review evidence across AI coding agents.
Code-enforced incident-response agent that investigates SigNoz alerts, publishes evidence-backed root-cause claims, and gates every action behind a safety policy. Built for Agents of SigNoz hackathon.
Secure, fragment-based long-term memory for MCP-compatible AI agents.
Pre-release PostgreSQL-backed MCP memory server with hybrid search and hierarchical summaries
Self-improving, self-hosted memory across every AI coding tool, project, and team (Claude Code, Cursor, Copilot, any MCP client). Autoskill proposes new skills from your sessions, so each project improves automatically. Inspectable, grounded, and yours. Built for teams and enterprise. Open source, MIT.
MCP server giving LLM agents a seven-verb API over papers, documents, code, state, patents, and cached web/Wolfram/YouTube tool calls
High-performance, pure Go memory middleware for AI Agents (Claude/Cursor). Features active file watching, auto-distillation via LLM, and 'Single Source of Truth' versioning. Native MCP support.
Engram is a self-hostable AI memory layer. It sits between an application and an LLM provider, retrieves relevant user memories from pgvector, injects them into chat prompts, forwards the request, and extracts new durable memories after the response returns.
Open-source AI agent memory dashboard and MCP memory template with Supabase pgvector recall, Mem0, Optimization Kit, and Memory File Sync Kit for Claude, ChatGPT, and Cursor.
MCP-native long-term memory engine — identity / event / ephemeral layers on Postgres + pgvector.