UltraContext
AI Infrastructure & MLOps
UltraContext
Hey HN! I'm Fabio and I built UltraContext, a simple context API for AI agents with automatic versioning. After two years building AI agents in production, I experienced firsthand how frustrating it is to manage context at scale. Storing messages, iterating system prompts, debugging behavior an
What is UltraContext?
UltraContext is an open-source context management API designed for AI agents and multi-agent systems. Built by Fabio after two years of production experience, it addresses the operational challenges of managing context at scale—including message storage, system prompt iteration, and behavior debugging across distributed agents. The platform captures and synchronizes context from all connected AI agents into a centralized hub in real time. Its core feature is automatic versioning, which enables teams to iterate on prompts and configurations without losing historical context or creating conflicts between different agent instances. UltraContext is built for developers shipping AI applications at inference speed who need seamless context continuity across multiple AI models and platforms. For example, users can start a task with Claude Code and continue the same context in Codex or other models without manual context transfer. The project is entirely open source and available on GitHub, making it accessible for teams of any size. It positions itself as invisible infrastructure—designed to integrate into existing workflows without requiring significant architectural changes. The tool is particularly suited for teams building multi-agent systems, prompt experimentation pipelines, or applications requiring reliable context persistence across different AI providers and models.
Key Features
- Centralized context hub that captures and syncs data from all AI agents in real time
- Automatic versioning for easy iteration and debugging of system prompts and agent behavior
- Seamless context continuity across different AI models and platforms
- Open-source infrastructure designed for production-scale AI agent management
- Invisible context layer that works at inference speed without slowing down workflows
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