Kody augments AI agents by serving as persistent storage for memory, keys, code, and automations that operate independently of any specific model. It connects to existing assistants such as Claude, ChatGPT, Cursor, or Codex through MCP and provides search and execute capabilities that give agents access to a user's packages, secrets, memories, and storage. The tool is built for people who want to own their automations, turning one-off agent explorations into permanent, scheduled jobs that run without requiring model calls or an open laptop.
It functions as the assistant's home rather than replacing any particular assistant. Two core tools enable this: search, which discovers packages, integrations, jobs, secrets, email, storage, and memories, and execute, which runs sandboxed code and explicit API calls while keeping secrets server-side. Users can build reusable packages and schedule worker-native jobs that continue running while their computer is off. Kody itself never calls a model.
The system supports a personal inbox and durable storage in addition to memory, keys, packages, and scheduled jobs. These elements allow an agent to explore against real APIs, save working processes as code, and execute them on a schedule without tokens, drift, or repeated model invocations. A discovery prompt is available without an account to explore potential uses.
kody is an AI & ML project. It focuses on losing context, credentials, and working automations when switching between different AI coding or agent tools. It is built as a consumer product for developers. It ships for the web.
kody first shipped in 2026. The project is developed in the open on GitHub with 389 stars and 673 commits in the last 90 days. Key capabilities include Agent Memory, Scheduled Jobs, and Sandbox Execution. It exposes integrations via an MCP server and a public API. Access is currently waitlist-only.
Summary written by a language model from the project’s public pages.
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