agentic-recall
Long-term memory for agentic tasks. It tells you when it doesn't know.
Servidor MCP · de dfrancislyondflabc-tech
Resumo
agentic-recall é um servidor MCP publicado por dfrancislyondflabc-tech. 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
- Configurações: 2
Exige: MEMORY_DIR
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 agentic-recall (agentic-recall no npm)
- Downloads do npm por semana: 557 (2026-10-12)
- Downloads do npm por mês: 1 829 (2026-10-12)
- Última versão no npm: 2.1.5, publicada em 2026-10-07
Nenhuma vulnerabilidade conhecida no OSV para 2.1.5 (verificado em 2026-10-13)
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. Os registros de vulnerabilidades vêm do OSV.dev (CC BY 4.0) e dizem respeito apenas à versão declarada; uma listagem sem versão declarada não recebe resposta. Não analisamos código.
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 "MEMORY_DIR=<YOUR_MEMORY_DIR>" --transport stdio agentic-recall -- npx -y agentic-recall
[mcp_servers.agentic-recall]
command = "npx"
args = ["-y", "agentic-recall"]
[mcp_servers.agentic-recall.env]
MEMORY_DIR = "<YOUR_MEMORY_DIR>"
{
"mcpServers": {
"agentic-recall": {
"command": "npx",
"args": [
"-y",
"agentic-recall"
],
"env": {
"MEMORY_DIR": "<YOUR_MEMORY_DIR>"
}
}
}
}
Substitua os valores entre sinais de menor e maior pelos seus. Mostramos os nomes das configurações, nunca valores.
Configurações opcionais que também indica: MEMORY_ROOT.
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 2.1.5 | Downloads por mês (npm): 1 829 Downloads por semana (npm): 557 |
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.
-
Git-backed long-term memory authority for AI agents via MCP.
-
memory io.github.sharedmemoryai/memory
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
-
neural-memory io.github.nhadaututtheky/neural-memory
Persistent memory for AI agents — 55 MCP tools, spreading activation recall.
-
mcp-server in.creo-memories/mcp-server
Memory system for AI agents with semantic search. Store and recall memories with ease.
-
total-recall io.github.Avi-Bendetsky/total-recall
Persistent, verified, cross-session memory for AI agents. 26 tools. SQLite + sync.
-
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
-
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
-
Embedded, local-first memory and retrieval for AI agents. One SQLite file, no server, no API key.
-
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
-
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
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)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
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…
-
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…
-
Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
Listado em Claude Code: claude-plugins-official (5)
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or from explicit instructions. Define rules via simple markdown files.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
Listado em Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Manage tasks, plan your day, and build up memory of important context about your work. Syncs with your calendar, email, and chat to keep everything organized and on track.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Connect 8,000+ apps to your AI workflow. Discover, enable, and execute Zapier actions directly from your client.
-
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)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Turn Codex into your ClickUp command center.
Listado em Community GitHub marketplaces (5)
-
Long-term memory for AI agents: save and recall conversation knowledge as a knowledge graph (MemoryWeft), via the hosted AiAkiv MCP server.
-
Agent memory MCP server with 4-type cognitive memory, hybrid search, and TTL-based forgetting.
-
Persistent memory with session tracking, compaction recovery, and a save protocol. Gives the agent a memory that survives across sessions.
-
Durable, local-first agent memory with cited recall, provenance, and a consent-aware CLI-first Cursor workflow.
-
Teaches Claude best practices for memory management — when to save, importance scoring, memory types, and session workflows.
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.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
Listado em Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
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…
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.
-
Capture, search, and organize notes and collections.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Search meeting transcripts, summaries, and action items.
Listado em Docker MCP Catalog (5)
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Knowledge graph-based persistent memory system.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
Listado em Official MCP Registry (5)
-
Git-backed long-term memory authority for AI agents via MCP.
-
memory io.github.sharedmemoryai/memory
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
-
neural-memory io.github.nhadaututtheky/neural-memory
Persistent memory for AI agents — 55 MCP tools, spreading activation recall.
-
mcp-server in.creo-memories/mcp-server
Memory system for AI agents with semantic search. Store and recall memories with ease.
-
total-recall io.github.Avi-Bendetsky/total-recall
Persistent, verified, cross-session memory for AI agents. 26 tools. SQLite + sync.
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.