FastrMemory
Local-first cognitive agent memory with bi-temporal SQLite, replayable history, hybrid retrieval.
Servidor MCP · de atifjubaer
Resumo
FastrMemory é um servidor MCP publicado por atifjubaer. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). A última mudança que registramos foi em 2026-11-01. Conforme nossa passagem pelos marketplaces em 2026-11-05.
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 fastrmemory -- npx -y fastrmemory mcp
[mcp_servers.fastrmemory]
command = "npx"
args = ["-y", "fastrmemory", "mcp"]
{
"mcpServers": {
"fastrmemory": {
"command": "npx",
"args": [
"-y",
"fastrmemory",
"mcp"
]
}
}
}
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 0.9.3 | Forks (GitHub): 1 Estrelas (GitHub): 1 |
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 0.9.3 (antes 0.9.2)
- Official MCP Registry: lançou a versão 0.9.2 (antes 0.9.1)
- Official MCP Registry: lançou a versão 0.9.1 (antes 0.9.0)
- Official MCP Registry: lançou a versão 0.9.0 (antes 0.8.2)
- Official MCP Registry: lançou a versão 0.8.2 (antes 0.8.1)
- Official MCP Registry: lançou a versão 0.8.1 (antes 0.8.0)
- Official MCP Registry: lançou a versão 0.8.0 (antes 0.7.2)
- Official MCP Registry: lançou a versão 0.7.2 (antes 0.7.1)
- Official MCP Registry: lançou a versão 0.7.1 (antes 0.7.0)
- Official MCP Registry: lançou a versão 0.7.0 (antes 0.6.0)
- Passou a ser um produto que acompanhamos
- Official MCP Registry: apareceu
Plugins semelhantes
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Montycat MCP - Shared Memory for AI Agents
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Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
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Save 60-90% on LLM token costs with intelligent memory compression. agent-memory automatically compresses tool output into structured observations, shares context across agents…
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Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
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Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
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workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
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workiq-productivity
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Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
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Capture, search, and organize notes and collections.
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Iterative self-referential AI loops using the Ralph Wiggum technique.
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mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
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Knowledge graph-based persistent memory system.
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Production-ready RAG service to search and retrieve data from your documents.
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A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
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A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma.
Listado em Official MCP Registry (5)
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Embedded, local-first memory and retrieval for AI agents. One SQLite file, no server, no API key.
-
hmem — Humanlike Memory for AI Agents
Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.
-
Evidence-grounded agent memory with mandatory provenance, on local SQLite or Cloudflare D1
-
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
-
total-recall io.github.Avi-Bendetsky/total-recall
Persistent, verified, cross-session memory for AI agents. 26 tools. SQLite + sync.
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Semantic memory layer for AI applications. REST API + MCP transport + knowledge graph + autonomous consolidation. Works with 14+ AI clients. Self-host, zero cloud cost.
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mnemo io.github.n24q02m/mnemo
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yantrikdb-mcp io.github.yantrikos/yantrikdb-mcp
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ori-memory io.github.aayoawoyemi/ori-memory
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Persistent, local-first memory for AI agents. Selective by design: filters what's worth keeping, links what's related, and says nothing when it doesn't know. SQLite + ONNX, no…
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remem-mcp — Local-first MCP Memory + CodeGraph + Wiki
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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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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.