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studiomeyer-memory

StudioMeyer Memory

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

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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

Proprietary. The memory server is a hosted service — this repository contains documentation and examples only.

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security - not tested
F
license - not found
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quality - not tested

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