Claude Skill
codejunkie99/agentic-stack
Agentic Stack is a portable AI agent framework with a single .agent/ folder for memory, skills, and protocols. Switch between Claude Code, Cursor, Windsurf, OpenCode, and more without losing knowle...
Overview
Repository
Install this Skill
git clone https://github.com/codejunkie99/agentic-stack.gitRegistry
Summary
Agentic Stack is a portable AI agent framework that centralizes memory, skills, and protocols in a single .agent/ folder, enabling seamless switching between Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or custom Python environments without losing context or knowledge.
一个大脑,多种工具。便携式 .agent/ 文件夹(包含记忆+技能+协议),可接入 Claude Code、Cursor、Windsurf、OpenCode、OpenClaw、Hermes 或自建 Python 环境——切换工具时,知识依然留存。
Key features
- Portable .agent/ folder containing memory, skills, and protocols
- Compatible with Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, and DIY Python
- Knowledge persists when switching between different agent tools
- One brain, many harnesses — unified agent logic across platforms
- Open-source Python-based framework for extensibility
Use cases
- Developers switching between Claude Code and Cursor without retraining the agent
- Teams sharing a standardized agent configuration across different IDEs
- Building a custom Python agent that inherits existing skills and memory
- Prototyping multi-tool agent workflows with consistent behavior
- Migrating agent knowledge from Windsurf to OpenCode seamlessly
README excerpt
# agentic-stack **Keep one portable memory-and-skills layer across coding-agent harnesses, so switching tools doesn't reset how your agent works.** A portable `.agent/` folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, GitHub Copilot CLI, Google Gemini CLI, Hermes, Pi Coding Agent, Codex, Antigravity, or a DIY Python loop — and keeps its knowledge when you switch. It also includes a local data layer so you can monitor the whole suite of agents from one place: harness activity, cron runs, active agents, token/cost estimates, KPI summaries, user-defined resource categories, and screenshot-ready daily dashboards. <p align="center"> <img src="docs/data-layer.svg" alt="agentic-stack data layer dashboard flow" width="880"/> </p> And it can turn approved, redacted runs into local flywheel artifacts: trace records, context cards, eval cases, training-ready JSONL, and readiness metrics without training a model or sending telemetry. <p align="center"> <img src="docs/demo.gif" alt="agentic-stack demo" width="880"/> </p> <p align="center"> <img src="docs/diagram.svg" alt="agentic-stack architecture" width="880"/> </p> ### New in v0.18.0 — external Brain memory integration Minor release. Adds an optional bridge to [`codejunkie99/brain`](https://github.com/codejunkie99/brain), the external git-backed long-term memory CLI/TUI/MCP server, without vendoring Brain's Rust workspace into agentic-stack. - **`agentic-stack brain ...`.** Check Brain status, onboard a project, search global memory, write durable notes, run Brain doctor/TUI, or print the MCP stdio command from the normal agentic-stack CLI. - **Project bridge.** Installed `.agent/` projects now include `.agent/tools/brain_bridge.py`, so host agents can c
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