studiomeyer-memory

studiomeyer-memory

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

Category
访问服务器

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 Export — GET /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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选