agentstack
One agent setup across every coding CLI — import, render, switch toolsets, diagnose drift, and restore safely. Local-first, vendor-neutral, Rust.
Install / Use
claude mcp add Tarekkharsa -- npx -y github:Tarekkharsa/agentstackIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of agentstack
agentstack scores 70/100 on our quality scale, 3799th of 4,592 Development & Engineering skills we index.
Its MCP Server is 4.0 KB long, split into 4 sections with 1 code example: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so agentstack is actively maintained.
- Our last check on 2026-09-23 found the source still online.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review of the same text found nothing harmful.
- noteInstalls by piping a downloaded script into a shellline 17
curl -fsSL https://raw.githubusercontent.com/Tarekkharsa/agentstack/main/install.sh | sh
AI review by kimi-k2.7-code on 2026-10-05. Automated pattern scan on 2026-10-06. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
agentstack compared with similar skills
All 4 of these similar skills score higher than agentstack; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| agentstack (this skill)by Tarekkharsa | 70 | 3 | 58d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 95.9k | 3d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 75.1k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.3k | today | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 46.1k | 3d ago | CLAUDE.md |
Frequently asked questions
- How do I install agentstack?
- Run
claude mcp add Tarekkharsa -- npx -y github:Tarekkharsa/agentstack. The install tabs above show the steps for each supported agent. - Which AI agents does agentstack work with?
- It is written for Claude Code, Claude Desktop, Cursor, Gemini CLI and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
- Is agentstack safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is agentstack still maintained?
- The repository was last updated about 2 months ago, so agentstack is actively maintained.
Skill content
View source on GitHubOne agent setup. Every coding CLI. Today you configure the same MCP server once per tool, in a different format each time, with your tokens sitting in plain JSON. With AgentStack the whole setup — config, skills, servers, instructions — lives in one repo you own, any machine gets it with one command, and every CLI speaks it: Claude Code, Codex, Cursor, Gemini CLI, OpenCode and eight more — served live where the tool speaks MCP, written as native files where it does not.
Try it in 60 seconds
curl -fsSL https://raw.githubusercontent.com/Tarekkharsa/agentstack/main/install.sh | sh
export PATH="$HOME/.local/bin:$PATH" # only if the installer printed "Add to PATH"
agentstack init --connect # import what your CLIs already have, and connect them
# now restart your coding CLI — it reads its config at startup
agentstack status # is it ready — and if not, the one thing that fixes it
agentstack more why <server> # which of your CLIs is served this, and from where
The installer verifies the download against the checksums published with the
release. Plain init is a guided wizard and needs a terminal; init --yes is
the scripted form. more is the extended toolbox, and every more command
also runs at its bare name.
Two more worth knowing early: agentstack doctor tells you what is wrong and
what fixes it, and agentstack more restore takes any write back.
Your second machine
Publish your setup into a library repo you own, commit it, and the next machine
is one command: agentstack up --library <git-url> --write. Two things stay
per machine by design: secret values, and
the trust review
— you read what the project declares, and say yes once.
→ Set up another machine
Where to go next
- Get started — the guided walkthrough, with real output at every step
- Documentation — concepts, how-tos, migration recipes, troubleshooting
- All commands — the complete inventory;
agentstack morelists the toolbox in your terminal - Releases · CHANGELOG — what shipped, and when
- Contributing — the fast loop, every CI gate, and the security invariants
- Support and conduct — SUPPORT.md · CODE_OF_CONDUCT.md · GOVERNANCE.md. Report vulnerabilities privately through SECURITY.md, never in a public issue.
Supported platforms: macOS and Linux. A Windows binary is published but is not exercised by CI — treat it as untested rather than supported.
MIT OR Apache-2.0.
Related Skills
Agent-Reach
95.9kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
75.1kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
CowAgent
47.3kOpen-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
ai-job-search
46.1kThe job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
