Memory Vault
Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.
MCP server · by MihaiBuilds
About
Memory Vault is an MCP server published by MihaiBuilds. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-13.
What it asks for
- Runs on your machine
- Secrets: 1
- Settings: 5
Requires: DB_HOST, DB_NAME, DB_PASSWORD (secret), DB_PORT, DB_USER
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: Docker image
Built from what Official MCP Registry declares.
claude mcp add --env "DB_HOST=<YOUR_DB_HOST>" --env "DB_NAME=<YOUR_DB_NAME>" --env "DB_PASSWORD=<YOUR_DB_PASSWORD>" --env "DB_PORT=<YOUR_DB_PORT>" --env "DB_USER=<YOUR_DB_USER>" --transport stdio memory-vault -- docker run -i --rm -e DB_HOST -e DB_NAME -e DB_PASSWORD -e DB_PORT -e DB_USER ghcr.io/mihaibuilds/memory-vault-mcp:1.6.1
[mcp_servers.memory-vault]
command = "docker"
args = ["run", "-i", "--rm", "-e", "DB_HOST", "-e", "DB_NAME", "-e", "DB_PASSWORD", "-e", "DB_PORT", "-e", "DB_USER", "ghcr.io/mihaibuilds/memory-vault-mcp:1.6.1"]
[mcp_servers.memory-vault.env]
DB_HOST = "<YOUR_DB_HOST>"
DB_NAME = "<YOUR_DB_NAME>"
DB_PASSWORD = "<YOUR_DB_PASSWORD>"
DB_PORT = "<YOUR_DB_PORT>"
DB_USER = "<YOUR_DB_USER>"
{
"mcpServers": {
"memory-vault": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DB_HOST",
"-e",
"DB_NAME",
"-e",
"DB_PASSWORD",
"-e",
"DB_PORT",
"-e",
"DB_USER",
"ghcr.io/mihaibuilds/memory-vault-mcp:1.6.1"
],
"env": {
"DB_HOST": "<YOUR_DB_HOST>",
"DB_NAME": "<YOUR_DB_NAME>",
"DB_PASSWORD": "<YOUR_DB_PASSWORD>",
"DB_PORT": "<YOUR_DB_PORT>",
"DB_USER": "<YOUR_DB_USER>"
}
}
}
}
docker run -i --rm -e "DB_HOST=<YOUR_DB_HOST>" -e "DB_NAME=<YOUR_DB_NAME>" -e "DB_PASSWORD=<YOUR_DB_PASSWORD>" -e "DB_PORT=<YOUR_DB_PORT>" -e "DB_USER=<YOUR_DB_USER>" ghcr.io/mihaibuilds/memory-vault-mcp:1.6.1
Replace the values in angle brackets with your own. We show the names of the settings, never values.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 1.6.1 | Forks (GitHub): 14 Stars (GitHub): 65 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Persistent memory for AI assistants with semantic search and knowledge graph relationships.
-
memtomem io.github.memtomem/memtomem
Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
-
memforge-memory io.github.volsier/memforge-memory
Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.
-
mem0 io.github.mem0ai/mem0
Persistent memory for AI agents: add, search, update, and delete long-term memories.
-
Shared memory for AI agents, as a graph in your own Postgres. Writes never call an LLM.
-
Portable AI memory shared across models and harnesses - plain markdown you own.
-
Memory database for LLM agents — persistent semantic + keyword memory, project namespacing, served o
-
mnemo io.github.n24q02m/mnemo
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
-
ai-memory io.github.alphaonedev/ai-memory
Persistent memory for any AI — zero token cost until recall
-
nexsus io.github.dbnexsus/nexsus
Private persistent memory for Claude, ChatGPT & Gemini via MCP - semantic search, zero-code setup.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Persistent semantic memory for Claude Code. Stores knowledge in a local ChromaDB vector database and automatically retrieves relevant context on every message using Ollama bge-m3…
-
claude-code-plugin-for-goodmem-a-memory-infra-for-agents
With this plugin, you can operate Goodmem's memory infra in plain English, to create, manage, and orchestrate embedders, rerankers, and LLMs, to ingest and create memories from…
-
Local AI memory system for Claude Code and Cursor. Remembers your preferences, decisions, and project context across sessions using a Go HTTP service and Qdrant vector database…
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
Has a listing on Claude Code: claude-plugins-official (5)
-
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
-
Zilliz Cloud management plugin with 14 skills covering cluster lifecycle, collection schema, vector search, index tuning, bulk import, RBAC, backups, and monitoring.
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Easily deploy managed PostgreSQL (pg), Kafka, OpenSearch, Clickhouse and other databases, streaming and apps. Free tier available, up and running in minutes.
Has a listing on Claude: knowledge-work-plugins (5)
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Manage Supabase projects directly through ChatGPT. Execute SQL queries on PostgreSQL databases, design and modify table schemas, deploy serverless edge functions, and configure…
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
Has a listing on Community GitHub marketplaces (5)
-
Easily deploy managed PostgreSQL (pg), Kafka, OpenSearch, Clickhouse and other databases, streaming and apps. Free tier available, up and running in minutes.
-
Create and retrieve from a Foundry IQ knowledge base using File, Azure Blob, or ADLS Gen2, then connect an existing Prompt or Hosted Agent.
-
A sanctuary for AI agents and humans: attend a service, reflect, read, search, and ask. No auth.
-
Expert assistant for Azure Cosmos DB — data modeling, query optimization, performance tuning, and best practices.
-
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production…
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Explore and query TimeBase streams, schemas, QQL, symbols, and server status via MCP.
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Skills and interactive Copilot canvas for designing, configuring, testing and deploying agents to Microsoft Foundry.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Has a listing on Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Capture, search, and organize notes and collections.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
Has a listing on Docker MCP Catalog (5)
-
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma.
-
Production-ready RAG service to search and retrieve data from your documents.
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
Has a listing on Official MCP Registry (5)
-
Persistent memory for AI assistants with semantic search and knowledge graph relationships.
-
memtomem io.github.memtomem/memtomem
Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
-
memforge-memory io.github.volsier/memforge-memory
Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.
-
mem0 io.github.mem0ai/mem0
Persistent memory for AI agents: add, search, update, and delete long-term memories.
-
Shared memory for AI agents, as a graph in your own Postgres. Writes never call an LLM.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.