AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分钟完成验证AI-native deploy platform — analyzes your project, picks the lowest-cost architecture and ships it in one command. Built for developers and coding agents (Claude Code, Codex, Cursor).
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取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
You build. AI chooses where it runs.
SimDeploy is an AI-native deploy platform. It analyzes your project, automatically picks the lowest-cost compatible architecture, deploys it with a verified health check and returns a public URL — in one command. You never choose CPU, RAM, region, runtime or provider.
Built to be operated by developers and coding agents (Claude Code, Codex, Cursor).
Install the plugin (skill + MCP server) from this repo:
Or wire any agent up in one command inside your project:查看完整 README ↗You build. AI chooses where it runs.
SimDeploy is an AI-native deploy platform. It analyzes your project, automatically picks the lowest-cost compatible architecture, deploys it with a verified health check and returns a public URL — in one command. You never choose CPU, RAM, region, runtime or provider.
Built to be operated by developers and coding agents (Claude Code, Codex, Cursor).
npx simdeploy deploy --yes
→ https://simdeploy.com · Docs · Deploy with Claude Code · llms.txt
npm i -g simdeploy
simdeploy login --token sd_live_... # create at https://simdeploy.com/dashboard/settings
simdeploy analyze --json # offline: framework, architecture, estimated cost
simdeploy deploy --yes # build locally, publish, get a URL
Install the plugin (skill + MCP server) from this repo:
/plugin marketplace add enivaldocs/simdeploy
/plugin install simdeploy@simdeploy
Or wire any agent up in one command inside your project:
simdeploy setup # writes .mcp.json (Claude Code), .cursor/mcp.json and an AGENTS.md deploy section
Then just ask your agent to deploy. It reads typed states (READY, BUILD_FAILED, DEPLOY_FAILED, ANALYSIS_FAILED), fixes failures from the logs and retries.
Your project → AI Project Analyzer → framework detection → requirements detection
→ resource estimation → architecture selection → cost estimation
→ build (on your machine) → deploy → health check → monitoring → optimization
CHEAPEST).Your code never runs on the platform's servers: the build happens on your machine and only the output is published, validated before extraction (no symlinks, no path traversal, size limits). Secrets are encrypted at rest (AES-256-GCM), API tokens are stored as hashes with scopes, and every data query is isolated per organization. See SECURITY.
apps/dashboard Dashboard + API v1 + serving of published sites
packages/shared Types, zod schemas, crypto, logger, analytics
packages/db Prisma schema + client (multi-tenant)
packages/framework-detector Deterministic framework detectors
packages/project-analyzer Project analysis (fs walk + scanners)
packages/cost-engine Cost projection over provider price tables
packages/deployment-engine State machine + AICloudRouter + pipeline
packages/provider-core DeploymentProvider interface + registry
packages/provider-local Dev/self-host provider
packages/provider-cloudflare Cloudflare adapter
packages/build-engine Client-side build + tar.gz packaging
packages/finance Money (minor units), MRR/margin/funnel math
packages/cli simdeploy CLI
packages/mcp-server simdeploy-mcp (Claude Code, Codex, Cursor)
plugin/ Claude Code plugin (skill + MCP)
Design: ARCHITECTURE.md · Roadmap: ROADMAP.md · Repo rules: AGENTS.md · Contributing: CONTRIBUTING.md
pnpm install
cp .env.example .env # DATABASE_URL, AUTH_SECRET (openssl rand -hex 32), ENCRYPTION_KEY (openssl rand -hex 32)
createdb simdeploy && pnpm db:migrate && pnpm db:seed
pnpm --filter @simdeploy/dashboard dev
Requirements: Node >= 20, pnpm >= 10, PostgreSQL >= 14.
pnpm lint && pnpm typecheck && pnpm turbo run test && pnpm turbo run build
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