cabinet vs Athena-Public

AI project context and workflows compared

cabinet and Athena-Public keep AI-related context in Markdown files on disk so it can persist across sessions. cabinet adds a self-hosted knowledge workspace with agents and team workflows, while Athena-Public focuses on session routines and portable coding-agent memory.

cabinetAthena-Public
LanguageTypeScriptPython
LicenseMITMIT
Stars2.9k592
Forks30277
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • cabinet is a TypeScript web workspace with scheduled agents, missions, tasks, Kanban boards, and internal chat; Athena-Public is a Python tool centered on `/start` and `/end` session routines.
  • cabinet supports agent tasks through Claude Code and Codex CLI adapters; Athena-Public generates IDE-specific instructions and has Claude Code hooks, with other integrations varying in enforcement.
  • cabinet includes rich-text editing, full-text search, HTML apps, a web terminal, and PDF and CSV viewers; Athena-Public offers hybrid keyword and optional vector search for stored memories.
  • cabinet is designed for individuals and small teams managing broader work and repeatable tasks; Athena-Public focuses on developers carrying project context between coding sessions and IDEs.
  • cabinet self-hosts its application and requires Node.js 22 or later plus a supported AI CLI; Athena-Public has a lighter local install and optional full-install features for Supabase cloud sync and reranking.
  • Both projects use the MIT license and are not archived. cabinet has 2.9k stars and 302 forks, compared with Athena-Public's 592 stars and 77 forks.

Choose cabinet if you…

  • need a self-hosted workspace for knowledge, agent tasks, and team workflows.
  • want scheduled jobs, Kanban planning, or embedded HTML apps alongside Markdown notes.
  • can manage a local application and configure Claude Code or Codex CLI.
Read the cabinet analysis →

Choose Athena-Public if you…

  • want Markdown-based project memory carried between AI coding sessions.
  • need `/start` and `/end` routines or IDE-specific instruction files.
  • prefer a focused coding-context tool with optional vector search and cloud sync.
Read the Athena-Public analysis →

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.

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