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monomind

Enterprise AI agent orchestration platform — 60+ specialized agents, swarm coordination, MCP server, self-learning hooks, and vector memory for Claude Code

Preview status · 2026-05-17

What is monomind?

01

Quick decision

Use this section to decide whether the project is worth a deeper read.
Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilitymcp_config, recipe, host_instruction, eval, preflight

Enterprise AI agent orchestration platform — 60+ specialized agents, swarm coordination, MCP server, self-learning hooks, and vector memory for Claude Code

Repositorymonoes/monomind

0 stars · 0 forks

02

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.
1

Getting Started with Monomind

Related topics: Architecture Overview

Sources: [packages/implementation/adrs/README.md]()
2

Project Structure

Related topics: Architecture Overview, Core Packages

Sources: [packages/@monomind/cli/src/commands/session.ts](packages/@monomind/cli/src/commands/session.ts)
3

Architecture Overview

Related topics: Core Packages, Swarm Topologies

Source: https://github.com/monoes/monomind / Human Manual
4

Core Packages

Related topics: Architecture Overview

Sources: [packages/@monomind/cli/README.md](https://github.com/monoes/monomind/blob/main/packages/@monomind/cli/README.md)
5

Agent Catalog

Related topics: Agent Routing System, Swarm Topologies

Sources: [packages/@monomind/cli/src/commands/agent.ts:1-50]()

Sources: https://github.com/monoes/monomind, Human Manual, Project Pack evidence, and downstream validation signals.

03

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.
Stars0 stars
Forks0 forks
Contributors1 contributors
Licenseunknown

Community Discussion Evidence

10 source-linked items

Review these external discussions before using monomind with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

04

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.
1

Try the prompt first

Test the workflow without installing the upstream project.

preview
2

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual
3

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context
4

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify
npm install -g monomind

Official start command · https://github.com/monoes/monomind#readme · verified: yes

05

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

monomind Manual

Monomind serves as the central intelligence layer for AI-assisted development workflows. It coordinates agents, manages sessions, stores learned patterns in vector memory, and provides a k...

Open the full manual
  1. monomind Human Manual
  2. Table of Contents
  3. Getting Started with Monomind
  4. Related Pages
  5. Overview
  6. Key Capabilities
  7. Installation
  8. Prerequisites
1

Getting Started with Monomind

Related topics: Architecture Overview

Sources: [packages/implementation/adrs/README.md]()
2

Project Structure

Related topics: Architecture Overview, Core Packages

Sources: [packages/@monomind/cli/src/commands/session.ts](packages/@monomind/cli/src/commands/session.ts)
3

Architecture Overview

Related topics: Core Packages, Swarm Topologies

Source: https://github.com/monoes/monomind / Human Manual
4

Core Packages

Related topics: Architecture Overview

Sources: [packages/@monomind/cli/README.md](https://github.com/monoes/monomind/blob/main/packages/@monomind/cli/README.md)
5

Agent Catalog

Related topics: Agent Routing System, Swarm Topologies

Sources: [packages/@monomind/cli/src/commands/agent.ts:1-50]()

06

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

07

Preflight checks

Treat this preview as a planning asset, not proof that your local environment is ready.

08

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.
medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

README/documentation is current enough for a first validation pass.

medium

Review upstream issue

The source signal needs review before production use.