felixbaek/arkism
Developer toolsЭта страница переведена автоматически. Технические детали смотрите в оригинале. Открыть оригинал
Shared memory and skills for AI coding agents — human-reviewed, self-hosted
Обзор
Arkism gives your AI coding agents one shared memory. Claude Code, Codex, Gemini CLI and other agents each forget what you told them yesterday, and each keeps its own skills. Arkism sits next to them. It collects what is worth remembering from your sessions, lets you review it, and hands the right memories and skills back to every agent. A desktop app shows all of it in one place, together with usage, model routing and multi-agent workflows. people who use more than one AI coding agent every day and want them to share context, skills and limits, without sending their data to another cloud service. - Runs on your PC by default. No account, no Docker, no API key. - A memory extracted by an AI is not used until a person approves it. Even a quoted user statement waits for review. - Open source (MIT). Go server, Tauri desktop app. The screenshots use made-up sample data and show the Korean interface. Switch to English in . Download the file for your system from Releases.
README
Показан фрагмент оригинального README. Открыть оригинал.
Arkism
Memory, passed on. Arkism is an open-source app that lets AI coding agents share memories and skills.
Carry context between Claude Code, Codex and Gemini CLI. Arkism collects what is worth keeping from your conversations and hands over approved memories that match the current job. A test with real agents showed memories reaching the task, but no gain over a static instructions file yet (report, Korean). Manage memory, tools, model selection and team workflows in one place.
Arkism is still in testing and development. The product overview below and the future roadmap describe different stages of the work.
1. Keep the context as your work moves on
- Shared memory. Keep decisions, preferences and solutions with their sources.
- You decide what stays. AI-generated notes are candidates. Agents use them after a person approves them.
- Shared skills. Manage working methods with versions and history. Any agent connected through MCP can load them; installing them as skill folders covers Claude Code, Codex and ZCode only.
- Connected work. Configure tasks and teams through model routing and Arkism’s own workflow engine.
Start on your own PC, without an Arkism account or Docker. Memory extraction uses your chosen model and agent login. Your model provider’s terms and charges still apply.
2. How memory carries on
2.1 Gather
Turn decisions, preferences and solutions from connected agents’ conversations into candidates. Keep a link to the source text, and filter private markers and excluded folders first on supported capture paths.
2.2 Check and approve
Even candidates quoting your own words wait for review. Check the source and meaning, then approve, edit or reject the note. AI analysis does not replace your approval.
2.3 Find and hand over
Рекомендуемые инструменты
Попробуйте другой запрос или уберите фильтр.
Установка
npx skillfish add felixbaek/arkism