AgentCortex

About

AgentCortex solves the problem of context loss in AI coding assistants by providing project-isolated memory. It creates persistent memory banks for each codebase, ensuring the AI assistant remembers everything relevant to that project without context bleeding between different projects. This allows for cumulative learning, intelligent task management, and faster response times, ultimately improving developer productivity and code quality.

Key Features

• Persistent cross-session memory for continuous learning.
• Semantic search for quickly finding relevant memories.
• Project context separation with isolated memory banks.
• Enterprise performance with sub-200ms response times.
• 2 GitHub stars
• AI-powered task management with intelligent task suggestions.

Use Cases

• Onboard new team members by sharing project memory packages.
• Break down complex PRDs into actionable tasks with AI assistance.
• Maintain context when switching between different coding projects.