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Recalld

Managed long-term memory for AI agents, with evolving facts and relevant retrieval through MCP.

Servidor MCP · de bit-robotics

Resumo

Recalld é um servidor MCP publicado por bit-robotics. 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 2026-10-12.

O que pede

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.

Conectar

Sem dados para um comando automático: o que os marketplaces declaram não diz de forma inequívoca como conectá-lo.

Ver a página dele em Official MCP Registry

Onde está publicado

MarketplaceStatusVersãoNúmerosVerificadoVisto pela primeira vez
Official MCP Registry (Abrir o registro) Listado 1.0.0 Nenhum número publicado 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.

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  • MemAuthority

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  • agentic-recall

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  • Synap Memory

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  • memory com.humaux/memory

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  • memory io.github.sharedmemoryai/memory

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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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  • agent-knowledge io.github.keshrath/agent-knowledge

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  • ember-memory

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  • Productivity

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  • foundry-iq-skills

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  • doublecheck

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  • Continual Learning

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  • Ralph Loop

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  • Mem

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  • Guru

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  • Fireflies

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  • mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory

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  • Omi

    A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.

    de BasedHardware · Servidor MCP

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  • Memory (Reference)

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  • Sequential Thinking (Reference)

    Dynamic and reflective problem-solving through thought sequences.

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  • AiAkiv Memory

    Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.

    de aiakiv.com · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • neural-memory io.github.nhadaututtheky/neural-memory

    Persistent memory for AI agents — 55 MCP tools, spreading activation recall.

    de nhadaututtheky · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • DeepMem

    Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.

    de deepmemteam · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • MemAuthority

    Git-backed long-term memory authority for AI agents via MCP.

    de iasi777 · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • agentic-recall

    Long-term memory for agentic tasks. It tells you when it doesn't know.

    de dfrancislyondflabc-tech · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

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.

Este plugin é seu?

Adicione-o aos seus projetos e prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS. Você 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.

De onde vêm os dados: como o catálogo é montado