Show HN: Podiom – durable sessions, scheduling and goals for local Claude/Codex (github.com)

Podiom, an open-source local-first workspace, has been launched to enhance user experience for AI agents using Claude Code and OpenAI Codex. This innovative platform allows users to name their agents, maintain context, and effectively manage ongoing sessions, projects, tasks, and decisions without losing track across multiple terminal tabs. Podiom's architecture enables seamless interactions between agents while facilitating autonomous goal management; tasks are assigned for immediate action, while goals provide a long-term outcome framework, complete with periodic reviews and progress tracking. The significance of Podiom lies in its ability to create a structured and persistent environment for developers who need to oversee multiple AI tasks and sessions concurrently. It consolidates essential context and history into a single workspace, making it easier to manage recurring jobs and maintain an audit trail. By integrating natively with existing CLIs and tools, Podiom empowers users to harness the full potential of their AI agent workflows while maintaining local control and flexibility. With support for various operating systems and a user-friendly interface, Podiom promises to be a valuable addition to the AI/ML toolkit for builders and maintainers alike.