io.github.DiaaAj/a-mem-mcp
Self-evolving memory system for AI agents
Servidor MCP · de DiaaAj
Resumen
io.github.DiaaAj/a-mem-mcp es un servidor MCP publicado por DiaaAj. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). Lo vimos por primera vez el 2026-10-11 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-14.
Qué pide
- Se ejecuta en tu equipo
- Secretos: 1
- Ajustes: 5
Requiere: OPENAI_API_KEY (secreta)
Lo que declara, pide y ejecuta, completo
Instala solo plugins de desarrolladores en los que confíes. Mostramos lo que publican los marketplaces y no probamos plugins.
Paquete
- Descargas de PyPI por semana: 63 (2026-10-13)
- Descargas de PyPI por mes: 445 (2026-10-13)
- Última versión en PyPI: 0.2.6, publicada el 2026-01-17
Sin vulnerabilidades conocidas en OSV para 0.2.1 (comprobado el 2026-10-14)
Los datos de PyPI proceden de pypi.org y las descargas de PyPI de pypistats.org. Cada cifra es del propio registro y nunca se suma a otra. Un registro que no publica una cifra no muestra ninguna: sin cifra no es cero. Los registros de vulnerabilidades proceden de OSV.dev (CC BY 4.0) y solo se refieren a la versión declarada; un listado sin versión declarada no recibe respuesta. No analizamos código.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Según los marketplaces que lo listan y el transporte MCP que declara, tal como lo documenta cada cliente. No probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por ti ni probamos plugins.
Como servidor MCP local: paquete PyPI
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --env "OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>" --transport stdio a-mem-mcp -- uvx a-mem[mcp_servers.a-mem-mcp]
command = "uvx"
args = ["a-mem"]
[mcp_servers.a-mem-mcp.env]
OPENAI_API_KEY = "<YOUR_OPENAI_API_KEY>"{
"mcpServers": {
"a-mem-mcp": {
"command": "uvx",
"args": [
"a-mem"
],
"env": {
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
}
}
}
}Sustituya los valores entre corchetes angulares por los suyos. Mostramos los nombres de los ajustes, nunca valores.
Ajustes opcionales que también indica: CHROMA_DB_PATH, EMBEDDING_MODEL, LLM_BACKEND, LLM_MODEL.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.2.1 | Descargas por mes (PyPI): 445 Descargas por semana (PyPI): 63 Forks (GitHub): 3 Estrellas (GitHub): 35 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Qué cambió
Nada ha cambiado en este plugin desde que lo seguimos.
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
collective-memory io.github.Hustada/collective-memory
MCP server for persistent, semantic memory across AI sessions
-
archetypal-ai io.github.archetypal-ai/archetypal-ai
Persistent memory for AI agents. recall, remember, checkpoint — soul preservation.
-
ariel-memory io.github.Cipher208/ariel-memory
Two-layer memory MCP server for AI agents with 37 tools, RAG, graphs, wiki, auth
-
agent-memory-mcp io.github.kira-autonoma/agent-memory-mcp
Agent memory MCP server with provenance tracking, decay-weighted recall, and feedback loops.
-
crbro-memory io.github.Octonove/crbro-memory
Persistent file-based memory for AI agents: inspectable, versionable, fully local.
-
ori-memory io.github.aayoawoyemi/ori-memory
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
-
genesys-memory io.github.Astrix-Labs/genesys-memory
Open-source causal memory for AI agents: persistent, explainable, MCP-native memory (13 tools).
-
memori-mcp io.github.MemoriLabs/memori-mcp
Memori MCP server — persistent AI memory with recall and augmentation tools
-
hypermarrow-mcp io.github.qianqiuwanzi/hypermarrow-mcp
Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.
-
agentos io.github.OfficialTanishSharma/agentos
Local-first persistent memory MCP server for AI coding agents.
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
memex io.github.STiFLeR7/memex
Temporal engineering context for agents via MCP.
-
eu-ai-act-compliance-mcp io.github.CSOAI-ORG/eu-ai-act-compliance-mcp
Eu Ai Act Compliance MCP Server by MEOK AI Labs
Publicado en Claude Code: claude-plugins-official (5)
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
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 designing and building MCP servers that work seamlessly with Claude. Guides you through deployment models (remote HTTP, MCPB, local), tool design patterns, auth, and…
Publicado en 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…
-
MCP server for terminal commands, file operations, and process management
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
Publicado en 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.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Granola MCP connects your meeting history to ChatGPT so your assistant can pull real context from past conversations while you work. Use MCP when you're already working on…
Publicado en Community GitHub marketplaces (5)
-
Local-first, governable long-term memory for AI coding agents
-
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.
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
-
memex io.github.iamtouchskyer/memex
Zettelkasten-based agent memory system with bidirectional links
-
Markdown memory for coding agents that audits itself: drift reports and session digests.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
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…
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. Includes instructions for best…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
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…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Publicado en 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.
-
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…
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
Publicado en Docker MCP Catalog (5)
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
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
-
Dynatrace-mcp io.github.dynatrace-oss/Dynatrace-mcp
[DEPRECATED] Dynatrace MCP Server. Migrate to dynatrace-for-ai or Dynatrace Remote MCP Server.
Publicado en Official MCP Registry (5)
-
collective-memory io.github.Hustada/collective-memory
MCP server for persistent, semantic memory across AI sessions
-
archetypal-ai io.github.archetypal-ai/archetypal-ai
Persistent memory for AI agents. recall, remember, checkpoint — soul preservation.
-
ariel-memory io.github.Cipher208/ariel-memory
Two-layer memory MCP server for AI agents with 37 tools, RAG, graphs, wiki, auth
-
agent-memory-mcp io.github.kira-autonoma/agent-memory-mcp
Agent memory MCP server with provenance tracking, decay-weighted recall, and feedback loops.
-
crbro-memory io.github.Octonove/crbro-memory
Persistent file-based memory for AI agents: inspectable, versionable, fully local.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Es tu plugin?
Añádelo a tus proyectos y demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS. Recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Official MCP Registry. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.