← Back to directory

AIWG

Community

A multi-agent framework for multi-platform AI-assisted software development

GitHub source repository ↗

★ 168 Stars Category · Dev Tools Very popular

34FMRS · D

Reliability

3/20

Security and permissions

8/20

Maintenance

11/20

Documentation

8/20

Setup experience

4/20

The supplied material identifies AIWG as an MIT-licensed, multi-platform AI development workflow and deployment tool that includes MCP integration. However, no server manifest is available, so its specific tools, transport, installation configuration, authentication, and client support cannot be confirmed.

Read the FMRS scoring method →

AIWG is a cognitive architecture and deployment tool for AI-augmented software development. It provides specialized agents, structured SDLC workflows, plain-text agent artifacts, project memory, quality gates, and deployment across multiple AI platforms. The README explicitly lists MCP integration, but no cached server manifest, tool definitions, transport details, or client compatibility information is provided.

Tools

The tool list has not been reviewed yet.

Setup

The server manifest is not cached, so the MCP server's exact installation or launch procedure cannot be confirmed. The README gives general AIWG installation instructions: install Node.js 20 or later, run npm install -g aiwg, then run aiwg use <framework> or aiwg use all from a project root. These steps are not a verified MCP server configuration.

Fit and risk

Best for

Teams that need to reuse agents, skills, commands, and rules across multiple AI coding platforms
Complex projects lasting weeks or months that require project memory, quality gates, and auditability
Developers who want to deploy plain-text AI artifacts through a CLI

Not for

Simple scripts, typo fixes, or code explanations that fit in a single conversation
Users who require a confirmed MCP tool list, transport protocol, or client compatibility guarantee
Users seeking an LLM runtime or a framework imported directly into an application

Required permissions

Write agents, skills, rules, and context files to project- or user-level directories according to the selected platform and scope
Project deployments may create or update .aiwg/ and platform-specific directories
Optional native features may build dependencies such as node-pty or hnswlib-node

Risks and side effects

Global user-scope deployment may cause context or agent sets to bleed across projects
The README's quantitative claims, research findings, and performance statements are not independently verified by the supplied material
Because the server manifest is unavailable, the MCP endpoint, tool permissions, authentication, and data-access scope cannot be confirmed

Troubleshooting

Confirm that Node.js 20 or later is installed
For npm EACCES errors, check a user-owned npm prefix and avoid using sudo npm install -g aiwg as the default fix
If the aiwg command is missing, check whether npm's global bin directory is on PATH
Run aiwg doctor to inspect installation and optional native-feature health
MCP connection troubleshooting cannot be verified because the README provides no server transport or launch configuration

Use cases

Deploying AI artifacts across Claude Code, Codex, Copilot, Cursor, Warp, Factory, OpenCode, and Windsurf

Supporting software development lifecycle work with multi-agent workflows

Maintaining cross-session project memory and traceable artifacts through .aiwg/

Running structured security, testing, architecture, research, forensics, and operations workflows

Supported clients

Supported clients have not been confirmed yet.

Related MCP servers

Compare with other MCP servers