Gram Functions
AI Infrastructure & MLOps
Hi HN, Georges from the Gram team here. We're really excited to share a major update to Gram, our platform for curating tools for agents, in the form of Gram Functions. Gram initially started out by letting users upload OpenAPI documents and turning them into tools that can be curated into smal
Gram Functions is an open-source platform component designed to help developers create and manage tools for AI agents. Built by the Gram team, it extends Gram's core functionality beyond OpenAPI document uploads by enabling users to define, curate, and deploy custom functions that agents can utilize. The platform serves developers and teams building AI agent applications who need a structured way to organize and version-control tool definitions. Rather than manually converting API documentation, Gram Functions provides a standardized approach to function curation and management within the Gram ecosystem. Key aspects of Gram Functions include support for custom function definitions, integration with agent workflows, and the ability to package functions for reuse across projects. The open-source nature allows developers to inspect, modify, and contribute to the codebase. Gram Functions is particularly suited for teams that require granular control over which functions their agents can access, need to maintain consistency across multiple agent deployments, or want to build custom tooling without vendor lock-in. It fits into the broader landscape of AI infrastructure tools focused on agent capability management and orchestration.
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Run and deploy AI models with a cloud API
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
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