Balloon is an MCP server designed to address the subtle but frustrating problem of context drift in long AI sessions. It surfaces instances where an AI model, while providing locally plausible answers, quietly abandons earlier user constraints, protected areas, or verification obligations. By building structured session profiles, auditing turns for drift, detecting hidden requirements, and generating corrective context through gap reports and proxy trickles, Balloon helps developers maintain the integrity of their AI interactions and guide models back towards the user's original intent without just stuffing more context.
Key Features
01Builds structured session profiles for long AI sessions
02Detects hidden requirements and underlying questions
03Audits AI turns for context drift and omissions
04Generates targeted context retrieval anchors
050 GitHub stars
06Reinforces recurring context in a memory ledger
Use Cases
01Preventing AI models from abandoning architectural constraints or protected areas during refactoring suggestions.
02Ensuring test requirements and other critical obligations are maintained throughout long AI-assisted development sessions.
03Correcting AI drift when models propose solutions that contradict earlier, established user intent.
