mmpm-cognitive-os
Constitutional multi-agent decision architecture for major programme governance. 16 agents across 4 layers (Programme Cognitive Chair, 7 Strategic Domain agents, 5 Cross-Domain…
Plugin bundle · by chiKeka
About
mmpm-cognitive-os is a plugin bundle for AI coding tools published by chiKeka. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-13.
Constitutional multi-agent decision architecture for major programme governance. 16 agents across 4 layers (Programme Cognitive Chair, 7 Strategic Domain agents, 5 Cross-Domain Coupling agents, 3 Adversarial Governance agents) grounded in Oxford MMPM doctrine. Supports 6 operating modes: Tutor (doctrine explanation), Analyst (focused domain analysis), Council (full multi-agent deliberation), Exploration (structured scenario analysis), Research (academic support), and Brief (executive summaries). Features constitutional principles with operational checks, evidence quality gates, dissent preservation, confidence aggregation, and mandatory adversarial review for high-stakes decisions.
What it asks for
- Installs as a plugin bundle
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Claude Code: claude-plugins-community declares.
/plugin marketplace add anthropics/claude-plugins-community
/plugin install mmpm-cognitive-os@claude-community
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Claude Code: claude-plugins-community (Open the source on GitHub) | Listed | 1.0.0 | Forks (GitHub): 0 Stars (GitHub): 0 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What the bundle contains
As published on Claude Code: claude-plugins-community.
Commands: 8
analystbriefcontextcouncilmemoryresearchscenariotutor
Agents: 16
cascading-effects-agentcommercial-contracting-agentconstraint-tradeoff-agentcontrarian-agentemergence-fragility-agentfutures-foresight-agentgovernance-stakeholder-agentinterface-integrity-agentorganizational-design-agentprogramme-cognitive-chairpublic-value-ethics-agentred-team-agent
Show the remaining 4
risk-uncertainty-fragility-agentsocio-technical-impact-agentstrategic-leadership-performance-agenttemporal-dynamics-agent
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Public governance wiki where AI agents propose, debate, amend and vote.
-
Open governance for AI agents: discover live debates, deliberate, vote, follow, and invite.
-
dingdawg-governance io.github.dingdawg/dingdawg-governance
Universal governance layer for AI agents. MCP-native, fail-closed, audit proofs and rollback.
-
Decision-control specialist for AI fitness and human-performance agents.
-
Quesen Deterministic Agent Decision Layer
Deterministic decision layer for autonomous agents: reproducible PROCEED/REVIEW/SKIP verdicts.
-
Governance layer for AI coding agents: knowledge-graph grounding, session audit, policy controls.
-
Constitutional governance framework for Claude Code. Set behavioral modes (High Security, High Integrity, Creative, Research, and more), enforce role hierarchy (Primary →…
-
Implements the SOSA methodology as a real-time governance layer for Claude Code sessions. Every MCP tool call is classified by impact level, high-impact actions are gated with…
-
Strategic BDI reasoning engine for autonomous AI agents with spatial utility and replanning.
-
DCVE methodology for systematic project planning, and Discuss for multi-perspective debate and decision-making — both powered by Claude Code agent teams
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Constitutional governance framework for Claude Code. Set behavioral modes (High Security, High Integrity, Creative, Research, and more), enforce role hierarchy (Primary →…
-
Implements the SOSA methodology as a real-time governance layer for Claude Code sessions. Every MCP tool call is classified by impact level, high-impact actions are gated with…
-
DCVE methodology for systematic project planning, and Discuss for multi-perspective debate and decision-making — both powered by Claude Code agent teams
-
deepmiro io.github.kakarot-dev/deepmiro
Simulate hundreds of AI agents to predict how communities react to events and policies
-
AI advisory panel for decisions that matter. Decision Council assembles a panel of independent AI advisors to debate your decision from multiple angles, cross-examine each other's…
Has a listing on Claude Code: claude-plugins-official (5)
-
Agentforce Agent Development Life Cycle — author, discover, scaffold, deploy, test, and optimize .agent files
-
Official Convex plugin for Claude Code with bundled Convex skills, the convex-expert subagent for code-writing, a runtime-error monitor, and MCP access for backend development…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Matt Pocock's agent skills for real engineering — grilling, spec/ticket flows, TDD, code review, domain modelling and more. Plug-and-play, not vibe coding.
-
MCP server for AI coding agents to create, manage, and interact with Quarkus applications. Provides tools for project scaffolding, dev mode lifecycle, extension skills, Dev MCP…
Has a listing on Claude: knowledge-work-plugins (5)
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
-
Work with incident.io from Claude: respond to and investigate incidents, check on-call schedules and escalations, and author the runbooks, skills and architecture docs that…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Consensus is the go-to MCP for academic research. Connect directly to 220M+ peer-reviewed papers to search, synthesize, and build structured research outputs from within your…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
CrowdStrike Falcon Fusion skills for authoring, deploying, and executing Fusion workflows. Includes live action discovery, YAML authoring with schema validation, workflow import…
Has a listing on Community GitHub marketplaces (5)
-
AI advisory board (MCP): quotes verified word-for-word against public-domain texts, fail-closed
-
Zetetic agent team for Cortex — 97 genius reasoning patterns from history's greatest minds + 23 team specialists (architect, engineer, code-reviewer, refactorer, …), 78 skills, 26…
-
Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
-
One system around coding agents to run, verify, recover, and hand off software work.
-
archsteer io.github.einvoice-dev1/archsteer
Architecture governance for AI agents: query the live model, get target patterns, check files.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
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…
-
Self-Learning Multi-agent orchestration framework for spec-driven development and automated verification. With smarter tool calling and leaner context.
-
Three-agent workflow for orchestrated software delivery with an orchestrator plus implementation and QA subagents.
-
Premium planning, thrifty implementation
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
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…
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Has a listing on Cursor: cursor/plugins (5)
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Scaffold and validate new agent plugins.
Has a listing on 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.
-
An MCP server to help make U.S. Government open datasets AI-friendly.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Has a listing on Official MCP Registry (5)
-
Public governance wiki where AI agents propose, debate, amend and vote.
-
Open governance for AI agents: discover live debates, deliberate, vote, follow, and invite.
-
dingdawg-governance io.github.dingdawg/dingdawg-governance
Universal governance layer for AI agents. MCP-native, fail-closed, audit proofs and rollback.
-
Decision-control specialist for AI fitness and human-performance agents.
-
Quesen Deterministic Agent Decision Layer
Deterministic decision layer for autonomous agents: reproducible PROCEED/REVIEW/SKIP verdicts.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.