Memini
БесплатноНе проверенLocal-first project memory for AI coding agents. Records failed attempts, fragile files, and decisions per repo, and warns the agent via hooks before it repeats
Описание
Local-first project memory for AI coding agents. Records failed attempts, fragile files, and decisions per repo, and warns the agent via hooks before it repeats a recorded mistake.
README
npm version CI memini MCP server
Never the same mistake twice. Mistake-prevention guardrails and persistent project memory for AI coding agents.
AI coding agents are stateless: every session starts with amnesia. The agent that broke your build editing vercel.json on Monday will happily try the exact same edit on Thursday. memini gives each repo a persistent memory of failed attempts, fragile files, decisions, and deployment rules — and force-feeds the relevant warning to the agent at the moment it's about to repeat history.
Not a notebook the agent may choose to read. A guardrail it can't skip.

How it works
- Memories live in your repo — a
.memini/folder with a local SQLite index and human-readable, PR-reviewable markdown views. Local-first: nothing leaves your machine. - Hooks enforce guardrails — when the agent tries to edit a file with recorded risks, the edit is intercepted before it happens and the recorded lesson is injected:
[WARNING] Editing vercel.json broke the build (recorded 2026-07-03)— Tried changing buildCommand; deploy failed. Actual fix: move checkout server-side and setVITE_STRIPE_USE_SERVER=true.warnseverity: the agent is warned once per session, then may proceed.blockseverity: the edit is always denied until a human archives the memory.
- Session start injects a digest of the most important memories (severity-first, token-budgeted).
- MCP tools let the agent record what it learns:
remember_failed_attempt,remember_fragile_file,remember_decision,end_session_summary, plusrecall_project_contextandcheck_before_editing. - Git-aware staleness — memories hash the files they reference;
pm staleflags memories whose evidence has changed, and stale memories stop firing guardrails until re-verified.
Quickstart (90 seconds)
cd your-repo
npx -y memini init # creates .memini/ + installs Claude Code hooks
# record your first guardrail
npx -y memini remember failed_attempt \
"Editing vercel.json broke the build" \
-b "Tried changing buildCommand; deploy failed. Fix: move checkout server-side." \
--file vercel.json --severity warn
That's it. Next time any Claude Code session in this repo tries to edit vercel.json, it gets the warning first.
Cursor, Windsurf, and other MCP clients:
claude mcp add memini -- npx -y memini mcp # Claude Code MCP
npx -y memini install-mcp --write cursor # Cursor: MCP + rule + enforced preToolUse hook
npx -y memini install-copilot # GitHub Copilot: enforced preToolUse hook (.github/hooks)
npx -y memini install-mcp # print generic MCP config
Enforcement is a chain of gates, and memini covers several:
- Before the edit — the edit to a guardrailed file is blocked before it happens.
block→ denied,warn→ the user is prompted with the recorded history. Supported on:- Claude Code —
pm initinstalls it - Cursor (1.7+) —
pm install-mcp --write cursor - GitHub Copilot — CLI, cloud coding agent, and VS Code agent mode (preview) —
pm install-copilot
- Claude Code —
- Before the commit — every tool — a git pre-commit guardrail blocks a commit that touches
a
block-severity file, no matter which IDE or agent made the edit (Windsurf, Cline, a human…). Installed bypm init(orpm install-hooks --git). Fails open; overridable withgit commit --no-verify. - Advisory — any MCP client — the
check_before_editing/recall_project_contexttools, plus an always-applied Cursor rule steering the agent to use them.
CLI
| Command | What it does |
|---|---|
pm init |
Set up .memini/, gitignore, and hooks |
pm remember <type> <title> [-b body] [--file f...] [--severity warn|block] |
Record a memory |
pm recall [query] [--file f] [--digest] |
Search memories / preview the agent digest |
pm check <path> |
Guardrail check (exit 1 if risks recorded) — usable in CI |
pm list / show / archive / approve <id> |
Manage memories |
pm stale / pm verify <id> |
Detect and re-verify outdated memories |
pm mcp |
Run the MCP server (stdio) |
pm doctor |
Diagnose setup |
Memory types: decision, failed_attempt, fragile_file, architecture, deployment, client_preference, session_summary.
Scopes: sharing rules across repos
Some lessons are project-specific; some apply to every repo on your machine that belongs to the same org or client. memini has three scopes:
| Scope | Where it lives | Use it for |
|---|---|---|
project (default) |
<repo>/.memini/ |
this repo's failed fixes, fragile files, decisions |
workspace |
.memini/ in a parent folder of your repos |
org/client conventions shared by every repo under that folder |
user |
~/.memini/ |
personal rules that follow you everywhere |
cd ~/work/acme && pm init --workspace # one-time: workspace store covering ~/work/acme/*
# from inside any repo under ~/work/acme:
pm remember deployment "DB connections must use org OAuth, never PATs" \
--file "databricks.yml" --severity warn --scope workspace
pm promote <id> --workspace # lift a project lesson that turned out to be org-wide
Every repo under the workspace folder — including ones you create later — gets those guardrails automatically. Resolution walks up the directory tree, like .gitconfig or ESLint configs. Workspace/user file guardrails match by glob (vercel.json matches any repo's vercel.json; config/**/*.yml works too), and wider-scope memories only fire when human-verified — agents can propose memories to project scope only, so a prompt-injected agent can't plant rules that spread across repos. pm doctor shows which scopes are active.
Design principles
- Enforced, not advisory. MCP memory tools are optional for the agent; hooks are not. The guardrail path works even if the agent never thinks to check its memory.
- Human-readable, PR-able. Every memory renders to markdown under
.memini/that your team reviews like any other change. - Git-linked evidence. Memories record the branch, commit, and file hashes they were born from, so claims are verifiable and staleness is detectable.
- Local-first. SQLite + markdown in your repo. No accounts, no cloud, no telemetry. Secrets are auto-redacted from memory bodies before they're stored.
- Cross-tool. Core is a CLI + files; Claude Code hooks and MCP are thin adapters.
Security
Local-first by design: no server, no account, no telemetry. Secrets are auto-redacted before storage, file references are contained to the repo, and injected memory text is size-capped and framed as data. See SECURITY.md for the full threat model — including the honest limitations (guardrails intercept edit tools, not arbitrary shell; warn is advisory, block is not).
Status
Early (v0.1). Team sync — shared memory across your whole team, with a review workflow — is on the roadmap. Feedback and issues welcome.
License
MIT
Установка Memini
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/lumayapartners/meminiFAQ
Memini MCP бесплатный?
Да, Memini MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Memini?
Нет, Memini работает без API-ключей и переменных окружения.
Memini — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Memini в Claude Desktop, Claude Code или Cursor?
Открой Memini на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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