Skip to main content
Glama

AgentCortex MCP

by sage-hq

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

ToolWhat It DoesWhen To Use
Project Management
create_projectCreate new isolated project contextStarting work on a new codebase
set_current_projectSwitch between project contextsMoving between different repos
get_current_projectShow active project infoConfirm which project you're in
list_projectsList all your project contextsSee all your codebases
get_project_contextFull project overview & summaryGet up to speed on a project
Memory Operations
store_memorySave important project informationRecord decisions, patterns, configs
search_memoryFind memories with semantic search"What did we decide about...?"
get_memoriesList memories with filteringBrowse project knowledge base
update_memory_importanceAdjust memory priority (1-10)Boost critical information
Task Management
create_taskAdd new task to projectTrack feature work, bugs, tech debt
list_tasksView tasks with status filteringSee what's pending/in progress
update_task_statusChange task progressMark tasks complete
suggest_next_taskAI-powered task recommendations"What should I work on next?"
break_down_taskSplit complex work into subtasksTurn 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

VariableDescriptionRequiredDefault
AGENTCORTEX_API_KEYYour API key from agentcortex.dev-
AGENTCORTEX_API_URLAPI endpoint overridehttps://api.agentcortex.dev
AGENTCORTEX_PROJECT_AUTO_DETECTAuto-detect project from git repotrue
AGENTCORTEX_DEFAULT_IMPORTANCEDefault memory importance level5

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

PlanPriceProjectsMemories/MonthTask ManagementSupport
DeveloperFree1 project1,000 memoriesBasicCommunity
Pro$29/moUnlimitedUnlimitedAdvancedPriority
Team$99/moUnlimitedUnlimitedCollaborationDedicated

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

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

🤝 Community & Support

🏆 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.

Related MCP Servers

  • A
    security
    A
    license
    A
    quality
    Provides a structured documentation system for context preservation in AI assistant environments, helping users create and manage memory banks for their projects.
    Last updated -
    3
    62
    Python
    MIT License
    • Linux
    • Apple
  • A
    security
    A
    license
    A
    quality
    Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.
    Last updated -
    4
    53
    JavaScript
    Apache 2.0
    • Linux
    • Apple
  • -
    security
    F
    license
    -
    quality
    A knowledge-graph-based memory system for AI agents that enables persistent information storage between conversations.
    Last updated -
    4
    Python
  • -
    security
    F
    license
    -
    quality
    A Model Context Protocol server integration that creates a persistent, searchable working memory for AI-assisted development by enabling automated context recall and knowledge persistence in Chroma, the open-source embedding database.
    Last updated -
    16
    Python
    • Linux
    • Apple

View all related MCP servers

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sage-hq/agentcortex-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server