eve is a filesystem-first framework designed for building durable AI agents, providing a structured approach to agent development and operation.
Source: README View on GitHub →eve is gaining attention due to its innovative filesystem-based approach to AI agent development, addressing the need for a structured and scalable way to build and manage AI agents. Its unique focus on the filesystem as the authoring interface stands out, offering ease of inspection, extension, and operation. The project's association with Vercel and its beta status also contribute to its visibility.
Source: Synthesis of README and project traitseve uses a filesystem structure for agent development, with clear directories for different components like instructions, tools, skills, channels, and schedules, facilitating organization and maintenance.
Source: READMEeve provides a command-line tool for initializing new agents and managing existing ones, with options for adding tools, defining skills, and setting up channels and schedules.
Source: READMEThe framework includes comprehensive documentation and tutorials, allowing developers to quickly understand and start using eve for their projects.
Source: READMEThe architecture of eve is inferred to be modular, with a clear separation of concerns. It uses a monorepo structure, leveraging TypeScript for development. Key technical decisions include the use of the filesystem as the primary interface for agent development and the integration of various tools and libraries for agent management and operation.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
@changesets/clioxfmtoxlintsimple-git-hookssyncpackturbovercelvitesteve is suitable for developers and organizations looking to build durable AI agents for various applications, such as creating chatbots, virtual assistants, or automated systems that interact with users or other services. It is particularly useful for projects that require a structured and maintainable approach to AI agent development.
Source: READMEeve@0.11.6 (2026-06-18): Patch changes including improvements to Slack channel functionality, resolution of AI Gateway OIDC readiness, and standardization of the product name across documentation and runtime.
Source: GitHub Releaseseve is a promising framework for those looking to build durable AI agents with a focus on structure and maintainability. Its filesystem-first approach and integration with Vercel make it a compelling choice for developers and organizations in the AI space, particularly those who value a structured and scalable development process.
eve is a filesystem-first framework designed for building durable AI agents, providing a structured approach to agent development and operation.
eve's core features include: Filesystem-first design, Agent initialization and management, Documentation and tutorials.
eve is gaining attention due to its innovative filesystem-based approach to AI agent development, addressing the need for a structured and scalable way to build and manage AI agents.
eve is suitable for developers and organizations looking to build durable AI agents for various applications, such as creating chatbots, virtual assistants, or automated systems that interact with users or other…