UltraContext provides open-source context infrastructure designed for AI agents, offering a unified source of truth that enables agents to access the same context throughout an entire system. It addresses the challenge of fragmented or siloed context by capturing, syncing, and delivering real-time context to agents wherever they operate. The platform is intended to make context instantly available and consistent, supporting collaborative intelligence across distributed AI environments.
The system operates through a background daemon that ingests sessions from agents and syncs them to the UltraContext server. Sessions are stored on the user's context server filesystem, allowing for agentic search and flexible organization with tools such as QMD, Gbrain, or custom solutions. Agents can retrieve relevant context on demand using a command-line interface, with search operations handled by the context server to keep the agent's context window efficient. This architecture eliminates information silos and supports scalable, shared intelligence among agents.
UltraContext is fully open source and can be installed via npm. It offers a hosted infrastructure with three pricing tiers: a free plan with unlimited storage, unlimited contexts, and 1,000 queries per month; a Pro plan at $100 per month that increases the query limit to 50,000, adds higher rate limits, backups, log retention, unlimited analytics, and priority support; and an Enterprise plan with custom pricing, unlimited queries, custom retention, dedicated support, SLA, and SSO. The company behind UltraContext is UltraContext, Inc., based in San Francisco.
This tool is suited for engineers and organizations building or operating AI agents who require robust, real-time context management across multiple agents or systems. By providing centralized, on-demand context access, UltraContext facilitates more effective and collaborative AI workflows.
In the Infrastructure & Backend space, ultracontext takes a focused approach. It focuses on providing a standardized API for managing and sharing context among AI agents and LLMs. It is built as an open-source project for AI developers. The project is open source (Apache-2.0). ultracontext is available on the web, the command line, and API.
ultracontext first shipped in 2026. Development happens publicly on GitHub with 211 stars and 45 commits in the last 90 days. Key capabilities include Context API, AI agent support, and LLM integration. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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