studiomeyer-memory

studiomeyer-memory

AI memory server with 53 tools. Knowledge Graph, semantic search, session tracking, multi-agent support.

Category
Visit Server

README

StudioMeyer Memory

Persistent, intelligent memory for AI agents. 53 MCP tools. Knowledge Graph included in every plan.

MCP Registry MCPize Glama

What is this?

StudioMeyer Memory gives AI agents persistent memory across sessions. Instead of starting fresh every conversation, your agents learn, remember, and improve over time.

53 MCP tools for learning, search, knowledge graph, session tracking, multi-agent support, contradiction detection, and self-improvement.

Connect in 10 Seconds

Claude Desktop / Cowork

Settings → Connectors → Add URL:

https://memory.studiomeyer.io/mcp

Claude Code

claude mcp add --transport http memory https://memory.studiomeyer.io/mcp

Cursor / VS Code / Windsurf / Zed

npx mcp-remote https://memory.studiomeyer.io/mcp

MCPize

npx mcp-remote https://studiomeyer-memory.mcpize.run

REST API

For custom agents, scripts, and integrations:

# 1. Sign up
curl -X POST https://memory.studiomeyer.io/api/signup \
  -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}'

# 2. Store a memory
curl -X POST https://memory.studiomeyer.io/api/learn \
  -H "Authorization: Bearer nex_your_key" \
  -H "Content-Type: application/json" \
  -d '{"category": "insight", "content": "Users prefer dark mode"}'

# 3. Search
curl -X POST https://memory.studiomeyer.io/api/search \
  -H "Authorization: Bearer nex_your_key" \
  -H "Content-Type: application/json" \
  -d '{"query": "user preferences"}'

API Endpoints

Method Endpoint Description
POST /api/signup Create account, get API key
GET /api/account Account info, plan, limits
POST /api/learn Store a learning
POST /api/search Search all knowledge
POST /api/decide Log a decision
POST /api/entity Create/update entity
POST /api/import Import from ChatGPT/Claude/Gemini/Copilot/Perplexity
POST /api/backfill Generate embeddings
GET /api/export Export all data (Markdown)
POST /api/checkout Upgrade plan (Stripe)

Full API documentation: openapi.yaml

SDKs

  • TypeScript: npm install @studiomeyer/memory-sdk (GitHub)
  • Python: pip install nex-memory (GitHub)
  • OpenAPI Spec: openapi.yaml — generate clients for any language

Features

Core Memory

  • 5-phase parallel search — semantic vectors, trigram matching, full-text, graph traversal, pattern matching
  • Duplicate detection — 5-factor admission control prevents noise
  • 10 learning categories — pattern, mistake, insight, research, architecture, and more
  • Decision logging — track choices with reasoning for traceability

Knowledge Graph (All Plans)

  • Entities — people, tools, projects, concepts
  • Observations — facts attached to entities with temporal validity
  • Relations — typed, directional connections between entities
  • Graph traversal — 2-hop BFS search through connections
  • Temporal queries — "What was true on March 15th?"

Intelligence

  • Contradiction Detection — automatically flags conflicting facts
  • FadeMem Adaptive Decay — important memories fade 6x slower
  • Confidence Scoring — 0-1 scores with temporal decay
  • Bi-temporal Model — event time + ingestion time
  • Auto-Consolidation — merges duplicates, backfills embeddings

Multi-Agent

  • Agent namespaces — scope memories to specific agents
  • Cross-agent search — search across all agents by default
  • Shared Knowledge Graph — one graph, multiple agents

Import

  • 5 platforms — ChatGPT, Claude, Gemini, GitHub Copilot, Perplexity
  • LLM extraction — entities, learnings, decisions, relations
  • Preview mode — analyze before importing

Benchmark Results

LongMemEval v3: 90% (GPT-4o official scoring)

System Score
Mastra OM 94.87%
Hindsight 91.4%
StudioMeyer Memory 90%
Zep/Graphiti 71.2%
Mem0 49%

Pricing

Plan Price Calls/Day Learnings Knowledge Graph
Free $0 200 1,200
Pro $29/mo 2,000 30,000
Team $49/mo Unlimited Unlimited

All 53 tools available in every plan. Knowledge Graph included from Free.

Compare: Mem0 charges $249/mo for Graph Memory. We include it for free.

Security

  • OAuth 2.1 with PKCE — latest authentication standard
  • Supabase Pro (EU Frankfurt, Germany) — SOC 2 Type II, GDPR-ready
  • Row Level Security — tenant isolation at database level
  • Secret Scanner — prevents accidental storage of API keys/passwords
  • Data ExportGET /api/export anytime
  • Encryption — at rest (AES-256) and in transit (TLS 1.3)

Examples

See the examples/ folder:

  • Python basic usage
  • LangChain integration
  • CrewAI multi-agent
  • TypeScript basic
  • ChatGPT import
  • Official SDK usage

Resources

Built By

StudioMeyer — AI agency based in Spain. Building intelligent systems since 2024.

License

MIT — see LICENSE. The memory server is a hosted service — this repository contains documentation and examples.

Links

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured