DecRec
Decision memory for AI agents: record, revisit, and resolve consequential choices.
Servidor MCP · de decrec.io
Resumen
DecRec es un servidor MCP publicado por decrec.io. Marketplaces que leemos y que lo publican: 2 (Official MCP Registry, Community GitHub marketplaces). Lo vimos por primera vez el 2026-10-11 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-13.
Qué pide
- Se ejecuta en remoto
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Lo que declara, pide y ejecuta, completo
Instale solo plugins de desarrolladores en los que confíe. Mostramos lo que publican los marketplaces y no probamos plugins.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Un enlace de un clic abre el cliente, que pide confirmación antes de añadir el servidor.
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 usted ni probamos plugins.
Como servidor MCP remoto
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --transport http decrec https://decrec.io/mcp
[mcp_servers.decrec]
url = "https://decrec.io/mcp"
{
"mcpServers": {
"decrec": {
"url": "https://decrec.io/mcp"
}
}
}
Como plugin de Claude Code
Generado a partir de lo que declara Community GitHub marketplaces.
/plugin marketplace add decrec-io/decrec-plugin
/plugin install decrec@decrec
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 2026.9.1 | Forks (GitHub): 0 Estrellas (GitHub): 1 |
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.
También figura en un marketplace de la comunidad
| Marketplace | Repositorio | Estrellas (GitHub) |
|---|---|---|
| decrec | decrec-io/decrec-plugin | 1 |
Qué contiene el paquete
Tal como se publica en Community GitHub marketplaces.
Servidores MCP: 1
decrec
Skills: 1
decrec
Qué cambió
- Apareció en un nuevo marketplace: Community GitHub marketplaces
- Community GitHub marketplaces: apareció
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.
-
Persistent decision memory for agents — learns which action works in which context
-
Memory for AI agents that tracks beliefs over time and surfaces contradictions
-
Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
-
Decision memory for AI coding agents: captures decisions once, briefs every agent before it acts.
-
agent-memory io.github.theprodsde/agent-memory
Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.
-
Stateful memory for AI agents. Temporal awareness, error loop detection, and preventive constraints.
-
Quesen Deterministic Agent Decision Layer
Deterministic decision layer for autonomous agents: reproducible PROCEED/REVIEW/SKIP verdicts.
-
Living memory for AI coding agents: recall before acting, report outcomes so confidence is earned.
-
engram io.github.kael-bit/engram
Hierarchical memory for AI agents. Three-layer (buffer/working/core) with decay and promotion.
-
Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
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
-
deepmiro io.github.kakarot-dev/deepmiro
Simulate hundreds of AI agents to predict how communities react to events and policies
-
memex io.github.STiFLeR7/memex
Temporal engineering context for agents via MCP.
-
Cognitive co-operator that gives AI agents persistent memory, learning, and work continuity. Includes session management, episodic/semantic memory (Atkinson-Shiffrin model…
Publicado en Claude Code: claude-plugins-official (5)
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Agentforce Agent Development Life Cycle — author, discover, scaffold, deploy, test, and optimize .agent files
-
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 io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
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…
-
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…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
Publicado en Codex: openai-curated (openai/plugins) (5)
-
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…
-
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.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
Publicado en Community GitHub marketplaces (5)
-
4da-mcp-server io.github.4DA-Systems/4da-mcp-server
Upgrade intelligence for AI agents: what an upgrade changes, where it touches your code, CVE scans.
-
inquisitor io.github.1111111111111111111114oLvT2/inquisitor
Hypothesis-driven problem solving for AI agents: probe, falsify, escalate.
-
touchdesigner-mcp-server io.github.8beeeaaat/touchdesigner-mcp-server
MCP server for TouchDesigner - Control and operate TouchDesigner projects through AI agents
-
bettermemory io.github.0Mattias/bettermemory
Memory for coding agents, checked against the filesystem and git before it is believed.
-
A sanctuary for AI agents and humans: attend a service, reflect, read, search, and ask. No auth.
Publicado en 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.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
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…
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
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.
-
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.
-
Capture, search, and organize notes and collections.
Publicado en Docker MCP Catalog (5)
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Publicado en Official MCP Registry (5)
-
Persistent decision memory for agents — learns which action works in which context
-
Memory for AI agents that tracks beliefs over time and surfaces contradictions
-
Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
-
Decision memory for AI coding agents: captures decisions once, briefs every agent before it acts.
-
agent-memory io.github.theprodsde/agent-memory
Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.
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. Datos de Community GitHub marketplaces. 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.