AI Agents Framework
Build and orchestrate AI agent teams for software development with shared memory, MCP tools, skills, and clear role-based workflows
What is AI Agents Framework?
AI Agents Framework is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to build and orchestrate ai agent teams for software development with shared memory, mcp tools, skills, and clear role-based workflows
Build and orchestrate AI agent teams for software development with shared memory, MCP tools, skills, and clear role-based workflows
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Build and orchestrate AI agent teams for software developmen
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ai-agentsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use AI Agents Framework
The AI Agents Framework is a collection of 24+ specialized Claude Code agent definitions organized around the full software development lifecycle, from planning and architecture through implementation, QA, security review, and shipping. Each agent has a defined role, skill set, and interaction pattern, and they share memory and coordinate through an orchestrator agent to tackle complex engineering tasks as a team. Teams and solo developers use it to delegate end-to-end software projects to AI with clear accountability and structured quality gates.
Prerequisites
- Claude Code CLI installed and authenticated (the agents run inside Claude Code sessions)
- Git and a GitHub account with repository access if using PR-management agents
- Node.js and any project-specific runtimes required by the codebase the agents will work on
- A .env file populated from .env.example with the required API keys for your project
Install the AI Agents plugin into Claude Code
Use the Claude Code plugin install command to pull in the agent definitions from the repository.
/install-plugin rjmurillo/ai-agentsCopy and populate the environment file
Clone the repository if needed, then copy .env.example to .env and fill in any API keys or configuration values required by your specific project.
git clone https://github.com/rjmurillo/ai-agents.git
cd ai-agents
cp .env.example .envStart a Claude Code session in your project directory
Open Claude Code in the root of the project you want the agents to work on. The agents operate on the files in the current working directory.
claudeInvoke a lifecycle command to kick off a workflow
Use the built-in lifecycle slash commands to guide the agent team through a structured development flow: /spec for requirements, /plan for milestones, /build to implement, /test for QA, /review for code review, and /ship to finalize.
/spec
# or
/plan
# or
/buildInvoke individual agents for targeted tasks
Call agents directly by role name followed by your instruction. The orchestrator agent coordinates multi-agent workflows automatically.
AI Agents Framework Examples
Client configuration
The ai-agents framework is installed as a Claude Code plugin, not via a traditional MCP server JSON config. Use the install command inside Claude Code.
{
"mcpServers": {}
}
// Install via Claude Code:
// /install-plugin rjmurillo/ai-agentsPrompts to try
Example agent invocations for common software development tasks.
- "orchestrator: build a webhook retry system. Start with analyst to verify requirements, then milestone-planner to create work packages"
- "critic: review @src/auth/login-handler.ts for coupling, error handling gaps, and test coverage"
- "security: audit the authentication module for common vulnerabilities"
- "qa: write integration tests for the payment service"
- "debug: the login endpoint returns 500 intermittently — trace the issue in @src/api/auth.ts"Troubleshooting AI Agents Framework
Plugin install command fails or agents are not recognized
Ensure Claude Code is up to date by running 'claude --version' and updating if needed. Retry '/install-plugin rjmurillo/ai-agents' and check the Claude Code output for error messages about network or authentication issues.
Agents produce incorrect or hallucinated file paths
Always run Claude Code from the root of the project directory. Agents use the working directory to resolve file references, so starting from a subdirectory can cause path resolution failures.
Orchestrator does not coordinate agents as expected
Provide the orchestrator with an explicit instruction listing which agents to invoke and in what order. The more specific the workflow description, the better the orchestrator coordinates the agent team.
Frequently Asked Questions about AI Agents Framework
What is AI Agents Framework?
AI Agents Framework is a Model Context Protocol (MCP) server that build and orchestrate ai agent teams for software development with shared memory, mcp tools, skills, and clear role-based workflows It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AI Agents Framework?
Follow the installation instructions on the AI Agents Framework GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with AI Agents Framework?
AI Agents Framework works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AI Agents Framework free to use?
Yes, AI Agents Framework is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
AI Agents Framework Alternatives — Similar Coding Agents Servers
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Browse More Coding Agents MCP Servers
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Set Up AI Agents Framework in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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