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 agent-personalizer -- npx -y agent-personalizer@0.9.1รันในเทอร์มินัล
{ "mcpServers": { "agent-personalizer": { "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.
เปิดEvery AI you use gets the same profile and the rules it can carry: Claude Code, Codex, Cursor, Gemini CLI and ChatGPT, rendered from one source and kept in sync.
The problem: Custom instructions live in each app separately, drift apart and fade over a long chat.
What you get: One profile and one rule source, rendered into the exact file each AI reads, with a check that fails when a generated copy drifts.
npx agent-personalizer
Start your AI in the installed project folder. Ask it which instruction file loaded and what your writing policy is. Confirm those answers against AGENT_ONBOARDING.md before the first write.
If you accepted session reading, Claude Code's /personalize, or the procedure in Codex and Gemini CLI's home files, asks up to five questions with a count and a short quote. Yes records a confirmed entry; no records a declined entry that is never asked again. Every approved entry reaches your selected personal AI files. As you work, a second correction of the same thing prompts one "Make it a rule?" question.
For ChatGPT, open Settings → Personalization and enable customization. Copy the exported profile (chatgpt-box1.txt) and response instructions (chatgpt-box2.txt) into the fields your current interface provides, checking its displayed limits. Re-paste after updates; the paste guide covers each app.
File generation, re-runs and uninstall run in CI on Linux, macOS and Windows; your client's context view confirms loading on your setup.
The first install asks for a folder if --dir is missing, then which AIs you use and whether it may read your past sessions. The AI choices are pre-selected from installed Claude Code, Codex and Gemini CLI folders; Enter accepts them. Consent defaults to No. Level 1 is the default; --level selects another. There is no questionnaire. Working preferences keep safe defaults and remain editable through --answers or the saved config.
For a headless install with defaults:
npx agent-personalizer --dir . --ai claude,agents --level 1 --yes --defaults
Node 22 or 24 (active LTS) is recommended; 18 or later runs. Published on npm with provenance. Installation covers scripted answers, every flag, notes tools and manual copying.
The tool runs locally after npx fetches the package. The installer and renderer make no network calls and send no telemetry. Writes stay inside the folder you name, with edited files preserved and named.
With your yes, learning reads up to 20 recent sessions kept by your selected Claude Code, Codex or Gemini CLI apps, plus Codex memory notes. It keeps typed messages, drops AI replies and tool output, and saves one local .agent-personalizer/digest.md ignored by git. The terminal lists files and counts, never message text. Your AI reads the digest, so its contents go to that provider again, like anything you paste in.
Reuse only history you are allowed to share. Past sessions can include other people's details; put their names or other private terms in check/forbidden.local.txt before accepting. Check your agreement for work or client accounts. npx agent-personalizer learn --forget deletes the digest, and uninstall removes it too; both leave your AI apps' history alone. agent-personalizer is not affiliated with Anthropic, OpenAI or Google, and their saved formats can change. See learning and privacy.
Re-run the installer to refresh an install. It asks nothing and keeps your saved AIs, level and answers. To change answers, supply a JSON file:
npx agent-personalizer --dir . --ai claude,agents --level 1 --yes --answers my-answers.json
Untouched installer files update to what a fresh install with those answers would create. Edited files stay yours. Home pointer lines that still match the previous template update or disappear when obsolete; edited lines stay byte for byte and are named for manual review. Changing the notes path keeps the old folder and names it next to the new one. Upgrading refreshes untouched tools and rule copies; edited copies are kept with a replacement step.
USER.md updates while it remains an untouched installer profile. An edited or pre-existing profile stays the source for every profile export, including ChatGPT. Changed onboarding answers are named so you can carry them into your profile by hand.
LEARNED.md is user-owned from its first install and never overwritten by a re-run. To gather newer evidence, run npx agent-personalizer learn --dir .; each read needs consent.
At level 3, edit USER.md, LEARNED.md or a source in rules/, then render and check:
node render/render.cjs --dir .
node render/render.cjs --dir . --check
--check exits 0 when current, 1 on drift and 2 on invalid input. Start a new client session to load changed files and re-paste exports into chat apps. Each rule's origin section explains the failure it prevents; keep that story when adding a rule. See updating an install.
At level 3, register the Claude Code hook to inject the onboarding restrictions and inject: true rules at session start. For another AI, generate a prompt to paste into its first message:
node render/render.cjs --dir . --contract > contract.txt
The instruction tiers explain where style, home files, contracts, rule owners and memory belong. The contract puts your instructions in context; your host and model apply them.
At level 3, copy the example list, fill it with your identifiers and keep it in your project's .gitignore:
cp check/forbidden.example.txt check/forbidden.local.txt
node check/gate.cjs --dir .
The gate checks file text and paths against that list. A missing or malformed list is refused. Configure the gate for your project before sharing it.
Select your notes tool through saved onboarding answers or an answers file:
npx agent-personalizer --dir . --answers my-answers.json
Companion setup explains notes connectors and how to turn onboarding answers into tool permissions and approval steps.
Run npx agent-personalizer and select the AIs you use. One profile and rule source produce the instructions each target can carry; ChatGPT gets its profile and selected session rules as paste files.
Choose targets with npx agent-personalizer --dir . --ai claude,agents,gemini,chatgpt --level 1 --yes --defaults. It creates CLAUDE.md, AGENTS.md, GEMINI.md and the ChatGPT exports shown in What it sets up; the paste guide explains loading and activation.
For answers, run npx agent-personalizer --dir . --answers my-answers.json. At level 3, edit USER.md, LEARNED.md or rules/, then run node render/render.cjs --dir .; re-paste changed chat exports.
At level 3, run node render/render.cjs --dir . --check. Exit 0 means the generated blocks and paste files match their sources; exit 1 identifies drift and exit 2 names invalid input.
Re-run npx agent-personalizer --dir . --ai claude,agents --level 3 --yes --defaults with the newer package. Untouched tools refresh, edited copies stay and the log gives the replacement step.
Preview with npx agent-personalizer --uninstall --dir . --dry, then run npx agent-personalizer --uninstall --dir .. Edited files, user-written notes and a LEARNED.md with entries stay; the local digest is removed and untouched files return byte for byte.
Preview with --uninstall --dry. Removal compares recorded install hashes, keeps edited files, notes and a LEARNED.md with entries, removes the local digest, and lists any hook registration you must remove.
npx agent-personalizer --uninstall --dir . --dry
npx agent-personalizer --uninstall --dir .
The inventory covers every path recorded by any install run, including earlier notes folders and rules omitted by later answers. Existing home files keep their own text while an unchanged generated block is removed. Only install-created empty folders are removed; the configuration goes last and stays while tracked files are retained. See removal details.
Start at the documentation index:
For agents: read llms.txt for documentation links and AGENTS.md for contributor instructions. Headless setup: npx agent-personalizer --dir . --ai claude,agents --level 1 --yes --defaults.
Contributions are welcome: a new AI target, a notes tool, an example user, or a failure you hit with steps to reproduce it. CONTRIBUTING.md covers the rule format and checks; MAINTAINERS.md names the owner and release responsibilities.
Pull requests are accepted under the contributor license agreement; the checkbox in the pull request template records your agreement.
The harness (test/run.sh: 98 checks) tests exact exit codes and adversarial fixtures. The real forbidden-list check stays local and prints a skip when the private list is absent.
MIT. Use, change, share and sell copies under its terms. Attribution is appreciated: Built with agent-personalizer (https://github.com/aunysillyme/agent-personalizer).
Security reports: SECURITY.md. Releases: RELEASING.md.
Built in public by @AunySillyMe.
AI custom instructions from approved entries: a profile and rules for Claude Code, Codex, Cursor, Gemini CLI, Hermes Agent and ChatGPT, kept in sync from one source.
{ "mcpServers": { "agent-personalizer": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Agent Personalizer ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-13 AI custom instructions from approved entries: a profile and rules for Claude Code, Codex, Cursor, Gemini CLI, Hermes Agent and ChatGPT, kept in sync from one source.