UltraContext – A simple context API for AI agents with auto-versioning
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 and multi-agent patterns—all while keeping track of everything without breaking anything. It was driving me insane. So I built UltraContext. The mental model is git for context: - Updates and deletes automatically create versions (history is never lost) - Replay state at any point The API is 5 methods:…
UltraContext – A simple context API for AI agents with auto-versioning launched on January 21, 2026 with 21 votes, #710 of 14,584 launches that month and more than 90% of that year's launches.
In plain words
UltraContext is a context API designed for AI agents that automatically versions all updates and deletions, ensuring change history is never lost. Built by someone with two years of production AI agent experience, it provides five core methods for creating, appending, retrieving, updating, and deleting messages while maintaining full version control. The tool is for developers building multi-agent systems who need to manage context at scale, debug behavior patterns, and iterate on system prompts without losing previous states. Messages are schema-free, and users can replay context at any point in its history.
written from the facts on this page · September 2026
From the sources
Same context, everywhere. Captures, syncs, and provides on-demand access to context from all your AI agents in real time. Open source context infrastructure that lives with you.
A unified source of truth that gives every agent instant context across your entire system. Fully open source. A unified source of truth that gives every agent instant context across your entire system. Fully open source. A daemon runs in the background, capturing sessions from your agents and syncing them to your ultracontext. You own it. Sessions live on your context server filesystem, ready for agentic search. Extend and organize it however you want: QMD, Gbrain, or your own tools. A CLI lets agents get relevant context on demand, wherever they run. Search is offloaded to the context server, so the context window stays lean and sharp. Silos are gone. Intelligence is now builtfrom ultracontext.ai
In the maker’s words, at launch
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 and multi-agent…
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