Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
npx -y [email protected]Claude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
claude mcp add akm-cli -- npx -y akm-cli@0.9.32รันในเทอร์มินัล
{ "mcpServers": { "akm-cli": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
Give every coding agent the capabilities your team has already built.
Build your agent library once. Use it from any shell-capable coding agent.
Every coding agent wants its own copy of your team's knowledge — an AGENTS.md here, a tool-specific skills folder there, prompts scattered across repos and chat logs. AKM indexes existing agent assets in place, loads only what a task needs, packages capabilities into shareable bundles, improves the library through reviewable proposals, and runs durable workflows — locally and without tying the library to one assistant. The core loop is connect -> index -> curate -> show -> use/run -> feedback -> proposal (not every task uses every stage).
Use the same capability library from Claude Code, OpenCode, Cursor, Aider, Windsurf, or any assistant that can run shell commands.
Search or curate a shortlist, then load full content by ref. No giant startup prompt is required.
Install and share bundles containing skills, scripts, workflows, agents, instructions, memories, and knowledge — not just prompt snippets.
Feedback is recorded against each asset and feeds akm improve. A negative report can carry an exact text fix, and akm improve repairs metadata. Edits land as diffable proposals you accept, reject or revert, unless you opt in to automatic acceptance (experimental.improveAutonomy). Only writable bundles are changed.
Run persisted workflows with dispatch, gates, retries, budgets, and resume instead of reconstructing a process from prose every session. Workflows are Experimental.
Search and show only return content; running a workflow, task, script, or agent is a separate command. See the invariants in Architecture.
Option 1 — npm package (recommended; requires Node.js >= 22):
npm install -g akm-cli
Option 2 — Prebuilt binary (no runtime required):
# Linux / macOS
curl -fsSL https://github.com/itlackey/akm/releases/latest/download/install.sh | bash
# Windows (PowerShell)
irm https://github.com/itlackey/akm/releases/latest/download/install.ps1 | iex
Upgrade in place: akm upgrade
The npm package always uses Node.js to bootstrap its cross-platform command. If a working Bun >= 1.0 is also on PATH, the launcher prefers Bun for execution; old, unusable, or absent Bun installations fall back to Node.js. Node.js remains required for the npm package. The standalone binaries are runtime-free.
akm setup --yes # guided first-time setup, non-interactive
akm bundle add github:itlackey/akm-stash # install the official onboarding capability bundle
akm index # build the search index
akm curate "deploy a Bun app" # get a curated shortlist
akm show <ref> # load a match by the ref curate printed
Each step, with its success check, is in Getting Started. Then tell your agent AKM exists:
akm help agents >> AGENTS.md
AKM recognizes several existing directory layouts in place, each through its own adapter, alongside its own native bundle format:
See Supported Formats for current write support and detection rules, and Wikis for using a living LLM wiki as a bundle.
Scheduling background tasks (like akm improve) involves reviewing and activating OS scheduler entries — see Scheduling for the full walkthrough.
AKM is local-first: it stores its index and state on disk and has no telemetry. It makes network requests only to the endpoints you configure or the commands you run: Git, npm, website sources, registries, your own model endpoints, the Hugging Face Hub when it downloads a local embedding model, and GitHub when you run akm upgrade or akm health. See Data & Telemetry for the complete list of destinations and the on-disk inventory.
The full documentation is published at akm.fwdslsh.dev, built from docs/ on every push and daily.
akm (Agent Knowledge Manager) — a portable, local-first capability library for AI agents. Discover, load, share, and improve reusable skills, scripts, workflows, and knowledge across any shell-capable
{ "mcpServers": { "akm-cli": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}ภาพรวม
akm (Agent Knowledge Manager) — a portable, local-first capability library for AI agents. Discover, load, share, and improve reusable skills, scripts, workflows, and knowledge across any shell-capable coding agent, including Claude Code, OpenCode, and Cur
เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Akm Cli ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-10-27 akm (Agent Knowledge Manager) — a portable, local-first capability library for AI agents. Discover, load, share, and improve reusable skills, scripts, workflows, and knowledge across any shell-capable coding agent, including Claude Code, OpenCode, and Cur