io.github.MemoriLabs/memori-mcp
Memori MCP server — persistent AI memory with recall and augmentation tools
Servidor MCP · de MemoriLabs
Resumo
io.github.MemoriLabs/memori-mcp é um servidor MCP publicado por MemoriLabs. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). Vimos pela primeira vez em 2026-10-11 e não registramos mudanças desde então. Conforme nossa passagem pelos marketplaces em 2026-10-15.
O que pede
- Roda na sua máquina
- Segredos: 1
- Configurações: 1
Exige: MEMORI_API_KEY (secreta)
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Pacote
npm @memorilabs/memori-mcp (@memorilabs/memori-mcp no npm)
- Downloads do npm por semana: 29 (2026-10-12)
- Downloads do npm por mês: 199 (2026-10-12)
- Última versão no npm: 1.0.0, publicada em 2026-03-26
- A versão declarada 1.0.0 não consta no npm
Os dados do npm vêm do registro público do npm (registry.npmjs.org, api.npmjs.org). Cada número é do próprio registro e nunca é somado a outro. Um registro que não publica um número não mostra nenhum: sem número não é zero.
Funciona com
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como servidor MCP local: pacote npm
Gerado a partir do que Official MCP Registry declara.
claude mcp add --env "MEMORI_API_KEY=<YOUR_MEMORI_API_KEY>" --transport stdio memori-mcp -- npx -y @memorilabs/memori-mcp[mcp_servers.memori-mcp]
command = "npx"
args = ["-y", "@memorilabs/memori-mcp"]
[mcp_servers.memori-mcp.env]
MEMORI_API_KEY = "<YOUR_MEMORI_API_KEY>"{
"mcpServers": {
"memori-mcp": {
"command": "npx",
"args": [
"-y",
"@memorilabs/memori-mcp"
],
"env": {
"MEMORI_API_KEY": "<YOUR_MEMORI_API_KEY>"
}
}
}
}Substitua os valores entre sinais de menor e maior pelos seus. Mostramos os nomes das configurações, nunca valores.
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 1.0.0 | Downloads por mês (npm): 199 Downloads por semana (npm): 29 Forks (GitHub): 2 Estrelas (GitHub): 2 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
O que mudou
Nada mudou neste plugin desde que começamos a acompanhá-lo.
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
hypermarrow-mcp io.github.qianqiuwanzi/hypermarrow-mcp
Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.
-
ai-memory io.github.alphaonedev/ai-memory
Persistent memory for any AI — zero token cost until recall
-
memoweft io.github.memoweft/memoweft
Portable AI memory as MCP tools: five reads and three controlled writes.
-
memory-mcp com.letta/memory-mcp
MCP server for AI memory management using Letta - Standard MCP format
-
mem0 io.github.mem0ai/mem0
Persistent memory for AI agents: add, search, update, and delete long-term memories.
-
memento com.runmemento/memento
Local-first, LLM-agnostic memory layer for AI assistants.
-
memstack io.github.isiomaC/memstack
MCP server for persistent, searchable memory for AI agents.
-
memory com.humaux/memory
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
-
memdata io.github.thelabvenice/memdata
Persistent memory for AI agents. Store context, retrieve it semantically.
-
memtomem io.github.memtomem/memtomem
Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em Claude Code: claude-plugins-community (5)
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
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…
-
Save 60-90% on LLM token costs with intelligent memory compression. agent-memory automatically compresses tool output into structured observations, shares context across agents…
Listado em Claude Code: claude-plugins-official (5)
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production…
Listado em Claude: knowledge-work-plugins (5)
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
Listado em 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.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
Listado em Community GitHub marketplaces (5)
-
al-buddy-memory io.github.flytomoon/al-buddy-memory
Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Local-first, governable long-term memory for AI coding agents
-
Markdown memory for coding agents that audits itself: drift reports and session digests.
-
Memory for AI agents — MLX (Apple Silicon) or CPU (Linux), sqlite-vec + BM25, zero cloud.
Listado em 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.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
Listado em Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
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…
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Listado em Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Capture, search, and organize notes and collections.
-
Let Grok Bot reach MCP servers on your private Tailscale network. Sign in to Tailscale to connect your tailnet; Grok Bot joins it as one tagged device and only reaches the hosts…
Listado em Docker MCP Catalog (5)
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
-
A universal MCP (Model Context Protocol) server to integrate any API with Claude Desktop using only Docker configurations.
-
Give your AI agents trusted access to the full Postman platform.
Listado em Official MCP Registry (5)
-
hypermarrow-mcp io.github.qianqiuwanzi/hypermarrow-mcp
Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.
-
ai-memory io.github.alphaonedev/ai-memory
Persistent memory for any AI — zero token cost until recall
-
memoweft io.github.memoweft/memoweft
Portable AI memory as MCP tools: five reads and three controlled writes.
-
memory-mcp com.letta/memory-mcp
MCP server for AI memory management using Letta - Standard MCP format
-
mem0 io.github.mem0ai/mem0
Persistent memory for AI agents: add, search, update, and delete long-term memories.
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Dados de Official MCP Registry. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.