AgentCortex MCP

AgentCortex MCP Client

🎯 The only AI memory system that solves the context-switching problem
Never lose context when jumping between projects. AgentCortex creates isolated, persistent memory banks for each codebase, so your AI assistant remembers everything—exactly where it belongs.

🔥 Why AgentCortex Changes Everything

The Problem: AI assistants forget everything between conversations. Worse, when you work on multiple projects, context bleeds between codebases—your React patterns from Project A contaminate your Vue.js work on Project B.

The Solution: Project-isolated persistent memory. Each project gets its own intelligent memory bank that grows smarter over time, never interfering with your other work.

✨ Core Features

🎯 Project Context Separation (The Game Changer)

Isolated memory banks per project/codebase
Zero context bleeding between different repos
Automatic project detection and context switching
Clean slate for each new project, full memory for existing ones

🧠 Persistent Cross-Session Memory

Never lose context again across all conversations
Cumulative learning that builds on every interaction
Semantic search finds relevant memories instantly
Intelligent importance ranking and auto-cleanup

📋 AI-Powered Task Management

Break down complex PRDs into actionable tasks
Smart task suggestions based on project context
Progress tracking with dependency management
Context-aware subtask generation

⚡ Enterprise Performance

Sub-200ms response times with optimized queries
Vector search with 1536-dimensional embeddings
99.9% uptime SLA with enterprise security
Scales infinitely with your growing codebase

🚀 Quick Start

1. Get Your API Key

# Sign up at agentcortex.dev and grab your API key
curl -X POST https://api.agentcortex.dev/auth/signup \
  -H "Content-Type: application/json" \
  -d '{"email":"you@company.com"}'

2. Install & Configure

# Install globally
npm install -g agentcortex

# Or run directly
npx agentcortex

3. Add to Your AI Assistant

Claude Desktop

Add to your claude_desktop_config.json file:

{
  "mcpServers": {
    "agentcortex": {
      "command": "npx",
      "args": ["agentcortex"],
      "env": {
        "AGENTCORTEX_API_KEY": "your_api_key_here"
      }
    }
  }
}

Cursor IDE

Add to Cursor Settings → MCP or your cursor_settings.json:

{
  "mcp.servers": {
    "agentcortex": {
      "command": "npx",
      "args": ["agentcortex"],
      "env": {
        "AGENTCORTEX_API_KEY": "your_api_key_here"
      }
    }
  }
}

Windsurf IDE

Add to your Windsurf configuration file:

{
  "mcp": {
    "servers": {
      "agentcortex": {
        "command": "npx",
        "args": ["agentcortex"],
        "env": {
          "AGENTCORTEX_API_KEY": "your_api_key_here"
        }
      }
    }
  }
}

Claude Code (VS Code Extension)

Add to your VS Code User Settings (JSON) or .vscode/mcp.json:

{
  "mcp": {
    "servers": {
      "agentcortex": {
        "command": "npx",
        "args": ["agentcortex"],
        "env": {
          "AGENTCORTEX_API_KEY": "your_api_key_here"
        }
      }
    }
  }
}

💡 Real-World Usage Examples

Project Context Isolation in Action

# Working on your React e-commerce app
Human: We're using React 18 with TypeScript and Zustand for state management
AI: ✅ Stored in TaskMem → Project: "ecommerce-frontend"

# Switch to your Python API project  
Human: Switch to my Python API project
AI: 🔄 Switched to "payment-api" project context

# Now working in Python context - React knowledge doesn't interfere
Human: What framework should I use for the API?
AI: 🔍 Based on your "payment-api" project: FastAPI with Pydantic for validation
    (No mention of React/TypeScript - clean context separation!)

# Back to React project later
Human: Switch back to ecommerce frontend
AI: 🔄 Switched to "ecommerce-frontend" 
    💭 Remembers: React 18, TypeScript, Zustand state management

Semantic Memory That Actually Works

Human: What did we decide about error handling?
AI: 🔍 Found 3 relevant memories:
    
    1. [94% match] "Use React Error Boundaries for component failures"
    2. [89% match] "Log errors to Sentry in production"  
    3. [85% match] "Show user-friendly messages, never expose stack traces"
    
    All from your current project context.

Intelligent Task Breakdown

Human: Break down the user authentication system implementation
AI: 📋 Task broken down into 6 subtasks:

    ✅ Research authentication patterns for React 18
    🔄 Set up Supabase Auth integration  
    ⏳ Implement login/signup forms
    ⏳ Add protected route middleware
    ⏳ Create user profile management
    ⏳ Add session persistence logic
    
    Estimated: 2-3 days based on your project complexity

🛠️ Complete Tool Reference

Tool	What It Does	When To Use
Project Management
`create_project`	Create new isolated project context	Starting work on a new codebase
`set_current_project`	Switch between project contexts	Moving between different repos
`get_current_project`	Show active project info	Confirm which project you're in
`list_projects`	List all your project contexts	See all your codebases
`get_project_context`	Full project overview & summary	Get up to speed on a project
Memory Operations
`store_memory`	Save important project information	Record decisions, patterns, configs
`search_memory`	Find memories with semantic search	"What did we decide about...?"
`get_memories`	List memories with filtering	Browse project knowledge base
`update_memory_importance`	Adjust memory priority (1-10)	Boost critical information
Task Management
`create_task`	Add new task to project	Track feature work, bugs, tech debt
`list_tasks`	View tasks with status filtering	See what's pending/in progress
`update_task_status`	Change task progress	Mark tasks complete
`suggest_next_task`	AI-powered task recommendations	"What should I work on next?"
`break_down_task`	Split complex work into subtasks	Turn PRDs into actionable steps

🎯 Advanced Usage Patterns

Team Workflows

# Share project context with team members
Human: Export this project's memory for onboarding
AI: 📦 Generated onboarding package for "ecommerce-frontend"
    → Includes: Architecture decisions, coding standards, setup guides
    → Share with: new team members for instant context

# Import team knowledge
Human: Import the backend team's API documentation memories  
AI: ✅ Imported 47 memories from "payment-api" project
    → Now available when working on frontend integrations

Cross-Project Insights

# Learn from patterns across projects
Human: What authentication patterns have I used before?
AI: 🔍 Across your projects:
    
    - ecommerce-frontend: Supabase Auth + React Context
    - admin-dashboard: Auth0 + JWT tokens  
    - mobile-app: Firebase Auth + AsyncStorage
    
    Recommendation: Supabase for consistency with your React patterns

🔧 Configuration

Environment Variables

Variable	Description	Required	Default
`AGENTCORTEX_API_KEY`	Your API key from agentcortex.dev	✅	-
`AGENTCORTEX_API_URL`	API endpoint override	❌	`https://api.agentcortex.dev`
`AGENTCORTEX_PROJECT_AUTO_DETECT`	Auto-detect project from git repo	❌	`true`
`AGENTCORTEX_DEFAULT_IMPORTANCE`	Default memory importance level	❌	`5`

Advanced Configuration

Claude Desktop:

{
  "mcpServers": {
    "agentcortex": {
      "command": "npx",
      "args": ["agentcortex"],
      "env": {
        "AGENTCORTEX_API_KEY": "your_api_key",
        "AGENTCORTEX_PROJECT_AUTO_DETECT": "true",
        "AGENTCORTEX_DEFAULT_IMPORTANCE": "7"
      }
    }
  }
}

Cursor/Windsurf/Claude Code:

{
  "mcp": {
    "servers": {
      "agentcortex": {
        "command": "npx",
        "args": ["agentcortex"],
        "env": {
          "AGENTCORTEX_API_KEY": "your_api_key",
          "AGENTCORTEX_PROJECT_AUTO_DETECT": "true",
          "AGENTCORTEX_DEFAULT_IMPORTANCE": "7"
        }
      }
    }
  }
}

🔐 Pricing

Plan	Price	Projects	Memories/Month	Task Management	Support
Developer	Free	1 project	1,000 memories	Basic	Community
Pro	$29/mo	Unlimited	Unlimited	Advanced	Priority
Team	$99/mo	Unlimited	Unlimited	Collaboration	Dedicated

All plans include:

✅ Project context separation
✅ Semantic search
✅ 99.9% uptime SLA
✅ Enterprise security
✅ MCP protocol support

🧪 Development & Contributing

# Clone and setup
git clone https://github.com/sage-hq/agentcortex.git
cd agentcortex/apps/mcp
npm install

# Development with hot reload
npm run dev

# Build for production  
npm run build

# Run tests
npm test

# Publish to npm
npm run publish

Contributing Guidelines

Fork the repository
Create a feature branch: git checkout -b feature/amazing-feature
Add tests for new functionality
Ensure TypeScript types are correct
Test with multiple MCP clients
Submit a Pull Request

🤝 Community & Support

📖 Documentation: docs.agentcortex.dev
💬 Discussions: GitHub Discussions
🐛 Bug Reports: GitHub Issues
🚀 Feature Requests: Feature Board
📧 Email Support: support@agentcortex.dev

🏆 Why Developers Love AgentCortex

"Finally, an AI that doesn't forget my React patterns when I switch to my Python API project. Game changer."
— Sarah Chen, Senior Engineer @ Stripe

"AgentCortex solved our biggest pain point: onboarding new developers. Now they get instant context on our 20+ microservices."
— Marcus Rodriguez, Tech Lead @ DataDog

"The project isolation is incredible. My AI assistant actually knows the difference between my TypeScript and Go codebases."
— Alex Kim, Principal Engineer @ Vercel

📈 Roadmap

🔄 Auto-sync with Git: Automatic project detection from repositories
🤖 Code Analysis: AI-powered codebase understanding and suggestions
🔍 Advanced Search: Full-text search across code, docs, and conversations
🎯 Smart Suggestions: Proactive memory and task recommendations
🌐 VS Code Extension: Direct integration with popular editors
👥 Team Collaboration: Shared project contexts and knowledge bases

📝 License

MIT License - see LICENSE file for details.

🚀 Ready to give your AI perfect memory?

npx agentcortex

Never lose context again. Start free today.

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

An AI memory system that creates isolated, persistent memory banks for each codebase, solving the context-switching problem by keeping project knowledge separate and accessible across sessions.

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