io.github.MinniAI-com/minnimemory
Curated, on-demand memory for AI coding agents. Cuts Claude Code token cost per session.
Servidor MCP · de MinniAI-com
Resumo
io.github.MinniAI-com/minnimemory é um servidor MCP publicado por MinniAI-com. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). A última mudança que registramos foi em 2026-10-27. Conforme nossa passagem pelos marketplaces em 2026-10-30.
O que pede
- Roda na sua máquina
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
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.
Funciona com
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Um link de um clique abre o cliente, que pede confirmação antes de adicionar o servidor.
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 --transport stdio minnimemory -- npx -y minnimemory[mcp_servers.minnimemory]
command = "npx"
args = ["-y", "minnimemory"]{
"mcpServers": {
"minnimemory": {
"command": "npx",
"args": [
"-y",
"minnimemory"
]
}
}
}Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 1.4.1 | Forks (GitHub): 0 Estrelas (GitHub): 0 |
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
- Official MCP Registry: lançou a versão 1.4.1 (antes 1.4.0)
- Official MCP Registry: lançou a versão 1.4.0 (antes 1.3.7)
- Official MCP Registry: lançou a versão 1.3.7 (antes 1.3.6)
- Passou a ser um produto que acompanhamos
- Official MCP Registry: apareceu
Plugins semelhantes
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Shared, project-aware memory for Claude Code, Codex, and other agents with human review.
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)
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Coding Agents forget everything when a session ends. total-recall fixes that: a shared memory layer that persists across sessions, tools, and devices. Memory is organized into…
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Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
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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…
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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…
Listado em Claude Code: claude-plugins-official (5)
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Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
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Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
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Precise local semantic code search via MCP. Indexes your codebase with Go AST parsing, embeds with Ollama or LM Studio, and exposes vector search to Claude through an MCP server…
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Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
Listado em Claude: knowledge-work-plugins (5)
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MCP server for terminal commands, file operations, and process management
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Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
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AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
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Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
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DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Listado em Codex: openai-curated (openai/plugins) (5)
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Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
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Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
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AI-powered code review in Codex, powered by CodeRabbit.
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Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
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Git-native project memory for AI coding agents, with deterministic local recall, evidence gates, and layered delivery that quotes, points, or abstains.
Listado em Copilot CLI: github/awesome-copilot (5)
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Shows live prompt-cache reuse, expiry, token composition, and AI Credit cost for the current GitHub Copilot session without making model calls.
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Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
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Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
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Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
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Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
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model-apps
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Listado em Cursor: cursor/plugins (5)
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Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
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Build apps, scripts, and automations with the TypeScript SDK.
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Iterative self-referential AI loops using the Ralph Wiggum technique.
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Skills for building on the Cursor Origin API. Fetch the live spec first, then follow the Origin rules for credentials, scopes, webhooks, paging, and errors. Includes a skill that…
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Consult a stronger model before major decisions, when stuck, and before declaring done.
Listado em Docker MCP Catalog (5)
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Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
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Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
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Give your AI agents trusted access to the full Postman platform.
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Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
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MCP server for terminal commands, file operations, and process management
Listado em Official MCP Registry (5)
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memory io.github.shackleai/memory
Persistent memory for AI coding tools. 11 tools for any MCP-compatible AI tool.
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cogmem io.github.writerslogic/cogmem
A self-improving, verifiable memory layer for AI coding agents.
-
Evidence-backed project memory and checkpoints for AI coding agents.
-
Persistent memory layer for AI coding agents — your agent remembers what you taught it.
-
Persistent memory for AI coding agents. Install the memry CLI and run memry setup.
Listado em PyPI (MCP servers) (5)
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marm-mcp-server io.github.Lyellr88/marm-mcp-server
Universal MCP Server with advanced AI memory capabilities and semantic search.
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Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
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mnemo io.github.n24q02m/mnemo
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Every tool your AI needs in one self-hosted install: memory, reasoning, git, Docker and more.
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gitmem io.github.gitmem-dev/gitmem
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memoir io.github.camgitt/memoir
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remem io.github.majiayu000/remem
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Automatic development memory for AI coding agents: turns your Claude Code, Codex, Gemini, Cursor, Copilot, Cline, Devin, OpenCode, Antigravity and Kimi Code sessions into…
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.
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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.